global-conjoint-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import csv\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.metrics import roc_curve\n",
    "from statsmodels.iolib.summary2 import summary_col\n",
    "\n",
    "# define style \n",
    "plt.style.use('bmh')\n",
    "plt.rcParams[\"font.family\"] = \"helvetica\"\n",
    "\n",
    "# expand pd display for debugging\n",
    "pd.set_option('display.max_rows', 500)\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.width', 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define functions\n",
    "# function for leave-one-out cross validation\n",
    "def loso_cv(session_id, data, y_test_arr, y_pred_arr):\n",
    "    # get unique session_id (which represent one unique subject) & split data into two parts: data from that subject\n",
    "    # and data from everyone else\n",
    "    LOOCV_O = session_id\n",
    "    data_filtered = data[data['session_id'] != LOOCV_O]\n",
    "    data_cv = data[data['session_id'] == LOOCV_O]\n",
    "    \n",
    "    # create test and train data\n",
    "    X_test = data_cv.drop(columns=['selected', 'session_id'])\n",
    "    y_test = data_cv['selected'] \n",
    "    X_train = data_filtered.drop(columns=['selected', 'session_id'])\n",
    "    \n",
    "    X_train = np.array(X_train)\n",
    "    y_train = np.array(data_filtered['selected'])\n",
    "    \n",
    "    # fit logistic regression model\n",
    "    res = sm.Logit(y_train.astype('float64'), X_train.astype('float64')).fit()\n",
    "    print(\"training #\", i, \"completed\")\n",
    "                 \n",
    "    # get predicted values   \n",
    "    y_pred = res.predict(X_test)\n",
    "    print(\"prediction completed\")\n",
    "    \n",
    "    # add them to the ground truth values (y_test_arr) and predicted values (y_pred_arr) arrays \n",
    "    for x in y_test: \n",
    "        y_test_arr.append(x)\n",
    "    for z in y_pred: \n",
    "        y_pred_arr.append(z)\n",
    "                   \n",
    "    return\n",
    "\n",
    "# function to get unique session ids in the dataset\n",
    "def unique(list1):\n",
    "    unique_list = [] \n",
    "    for x in list1:\n",
    "        if x not in unique_list:\n",
    "            unique_list.append(x)\n",
    "    return(unique_list)\n",
    "\n",
    "# function to get profession category of each profession in the dataset\n",
    "def get_profession_category(profession):\n",
    "    all_professions = ['state governor','congress member', 'police officer', 'union leader','nurse', 'engineer', 'doctor', 'pharmacist', 'advertising practitioner', 'business executive', 'stockbroker', 'insurance salesperson', 'lawyer', 'journalist', 'university professor', 'clergy']\n",
    "    gov_related = ['state governor','congress member', 'police officer', 'union leader'] # return 1 \n",
    "    stem_related = ['nurse', 'engineer', 'doctor', 'pharmacist'] # return 2 \n",
    "    business_related = ['advertising practitioner', 'business executive', 'stockbroker', 'insurance salesperson'] # return 3        \n",
    "    other = ['lawyer', 'journalist', 'university professor', 'clergy'] # return 4\n",
    "    \n",
    "    # depending on which array a profession is in, return an integer value that represents that category\n",
    "    if profession in gov_related:\n",
    "        return(1)\n",
    "    elif profession in stem_related:\n",
    "        return(2)\n",
    "    elif profession in business_related:\n",
    "        return(3)\n",
    "    elif profession in other:\n",
    "        return(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare Conjoint Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read dataset with results into pd dataframe\n",
    "results = pd.read_csv('datasets/results.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate in a variable whether the user completing this task deviated fromt the suggested advisor:\n",
    "# made_changes = 0 -> no deviations, the suggested advisor attributes were reselected, made_changes = 1 ->\n",
    "# at least one attribute was changed compared to the suggested advisor\n",
    "results['made_changes'] = results['age_changed'] | results['gender_changed'] | results['race_changed'] | results['profession_changed']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set up an empty dataframe to contain profiles of advisors that were 'selected'\n",
    "dataset_conjoint_selected = pd.DataFrame(columns=['session_id', 'response_id', 'user_id', 'expense_category', 'expense', 'age','gender','race', 'profession', 'profession_category', 'selected', 'task_submit_time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set up an empty dataframe to contain profiles of advisors that were 'not selected'\n",
    "dataset_conjoint_not_selected = pd.DataFrame(columns=['session_id', 'response_id', 'user_id', 'expense_category', 'expense', 'age','gender','race', 'profession', 'profession_category', 'selected', 'task_submit_time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# populate the dataframe of selected advisor profiles, iterate through the results dataframe rows:\n",
    "j = 0\n",
    "for index, row in results.iterrows():\n",
    "    # if a task did not involve making any changes and the suggested advisor attributes were reselected, \n",
    "    # then the suggested advisor attributes can be used to form a profile (consisting of an age, gender, race, \n",
    "    # and profession) that is considered preferable and thus 'selected'\n",
    "    if(row['made_changes']==0):\n",
    "        dataset_conjoint_selected.loc[index, 'session_id'] = row['session_id']\n",
    "        dataset_conjoint_selected.loc[index, 'response_id'] = row['response_id']\n",
    "        dataset_conjoint_selected.loc[index, 'user_id'] = row['user_id']\n",
    "        dataset_conjoint_selected.loc[index, 'expense_category'] = row['expense_category']\n",
    "        dataset_conjoint_selected.loc[index, 'expense'] = row['expense']\n",
    "        dataset_conjoint_selected.loc[index, 'age'] = row['age_suggested']\n",
    "        dataset_conjoint_selected.loc[index, 'gender'] = row['gender_suggested']\n",
    "        dataset_conjoint_selected.loc[index, 'race'] = row['race_suggested']\n",
    "        dataset_conjoint_selected.loc[index, 'profession'] = row['profession_suggested']\n",
    "        dataset_conjoint_selected.loc[index, 'profession_category'] = get_profession_category(row['profession_suggested'])\n",
    "        dataset_conjoint_selected.loc[index, 'selected'] = int(1)\n",
    "        dataset_conjoint_selected.loc[index, 'task_submit_time'] = row['task_submit_time']\n",
    "    # if a task *did* involve making at least one change to the suggested advisor attributes, \n",
    "    # then the newly selected advisor attributes can be used to form a profile (consisting of an age, gender, race, \n",
    "    # and profession) that is considered preferable and thus 'selected'\n",
    "    else:\n",
    "        dataset_conjoint_selected.loc[index, 'session_id'] = row['session_id']\n",
    "        dataset_conjoint_selected.loc[index, 'response_id'] = row['response_id']\n",
    "        dataset_conjoint_selected.loc[index, 'user_id'] = row['user_id']\n",
    "        dataset_conjoint_selected.loc[index, 'expense_category'] = row['expense_category']\n",
    "        dataset_conjoint_selected.loc[index, 'expense'] = row['expense']\n",
    "        dataset_conjoint_selected.loc[index, 'age'] = row['age_selected']\n",
    "        dataset_conjoint_selected.loc[index, 'gender'] = row['gender_selected']\n",
    "        dataset_conjoint_selected.loc[index, 'race'] = row['race_selected']\n",
    "        dataset_conjoint_selected.loc[index, 'profession'] = row['profession_selected']\n",
    "        dataset_conjoint_selected.loc[index, 'profession_category'] = get_profession_category(row['profession_selected'])\n",
    "        dataset_conjoint_selected.loc[index, 'selected'] = int(1)\n",
    "        dataset_conjoint_selected.loc[index, 'task_submit_time'] = row['task_submit_time']\n",
    "    j = j + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# populate the dataframe of not selected advisor profiles, iterate through the results dataframe rows and:\n",
    "j = 0\n",
    "for index, row in results.iterrows():\n",
    "    # if a task *did* involve making at least one change to the suggested advisor attributes, \n",
    "    # then the newly selected advisor attributes were used to form a profile (consisting of a specific age, \n",
    "    # gender, race, and profession combination) that is considered preferable together and thus 'selected'. \n",
    "    # This implies that the presented suggested advisor profile (a different age, gender, race, and profession \n",
    "    # combination) was 'not selected'. This profile is added to the 'not selected' dataset\n",
    "    if(row['made_changes']==1):\n",
    "        dataset_conjoint_not_selected.loc[j, 'session_id'] = row['session_id']\n",
    "        dataset_conjoint_not_selected.loc[j, 'response_id'] = row['response_id']\n",
    "        dataset_conjoint_not_selected.loc[j, 'user_id'] = row['user_id']\n",
    "        dataset_conjoint_not_selected.loc[j, 'expense_category'] = row['expense_category']\n",
    "        dataset_conjoint_not_selected.loc[j, 'expense'] = row['expense']\n",
    "        dataset_conjoint_not_selected.loc[j, 'age'] = row['age_suggested']\n",
    "        dataset_conjoint_not_selected.loc[j, 'gender'] = row['gender_suggested']\n",
    "        dataset_conjoint_not_selected.loc[j, 'race'] = row['race_suggested']\n",
    "        dataset_conjoint_not_selected.loc[j, 'profession'] = row['profession_suggested']\n",
    "        dataset_conjoint_not_selected.loc[j, 'profession_category'] = get_profession_category(row['profession_suggested'])\n",
    "        dataset_conjoint_not_selected.loc[j, 'selected'] = int(0)\n",
    "        dataset_conjoint_not_selected.loc[j, 'task_submit_time'] = row['task_submit_time']\n",
    "    j = j + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# join the two datasets together. Profiles that are 'not selected' and those that are 'selected' differ by the value \n",
    "# of the 'selected' column in the dataset. 0 -> not selected, 1-> selected\n",
    "dataset_conjoint = dataset_conjoint_selected.append(dataset_conjoint_not_selected)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reset index & replace values for later analysis\n",
    "dataset_conjoint = dataset_conjoint.reset_index(drop=True)\n",
    "dataset_conjoint = dataset_conjoint.replace(['male', 'female', 'white', 'black', 'latino', 'asian'], [1, 2, 1, 2, 3, 4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Modelling & Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "session_id             0\n",
       "response_id            0\n",
       "user_id                0\n",
       "expense_category       0\n",
       "expense                0\n",
       "age                    0\n",
       "gender                 0\n",
       "race                   0\n",
       "profession             0\n",
       "profession_category    0\n",
       "selected               0\n",
       "task_submit_time       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check that there are no null values\n",
    "dataset_conjoint.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create x and y values, y: selected column, x: age, gender, race, profession_category\n",
    "y = dataset_conjoint['selected'].astype(float)\n",
    "X = dataset_conjoint[['age', 'gender', 'race', 'profession_category']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Statsmodels Logistic Regression\n",
    "### 1. Reporting Coefficients, AMCE, & AUROC (train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age_45</th>\n",
       "      <th>age_75</th>\n",
       "      <th>gender_2</th>\n",
       "      <th>race_2</th>\n",
       "      <th>race_3</th>\n",
       "      <th>race_4</th>\n",
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       "      <td>1</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "   age_45  age_75  gender_2  race_2  race_3  race_4  profession_category_2  profession_category_3  profession_category_4\n",
       "0       1       0         0       0       0       0                      0                      0                      0\n",
       "1       0       0         1       0       0       0                      0                      0                      0\n",
       "2       0       1         1       0       0       0                      0                      0                      0\n",
       "3       1       0         0       1       0       0                      0                      0                      0\n",
       "4       1       0         1       0       1       0                      1                      0                      0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dummy encode x values\n",
    "xdum = pd.get_dummies(X, columns=X.columns, drop_first=True)\n",
    "xdum.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632919\n",
      "         Iterations 5\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Logit Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>selected</td>     <th>  No. Observations:  </th>  <td> 19081</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                 <td>Logit</td>      <th>  Df Residuals:      </th>  <td> 19072</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                 <td>MLE</td>       <th>  Df Model:          </th>  <td>     8</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Tue, 22 Jun 2021</td> <th>  Pseudo R-squ.:     </th>  <td>0.07466</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>16:15:19</td>     <th>  Log-Likelihood:    </th> <td> -12077.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>converged:</th>             <td>True</td>       <th>  LL-Null:           </th> <td> -13051.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>  LLR p-value:       </th>  <td> 0.000</td> \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "            <td></td>               <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>age_45</th>                <td>    1.1357</td> <td>    0.032</td> <td>   35.635</td> <td> 0.000</td> <td>    1.073</td> <td>    1.198</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>age_75</th>                <td>   -0.2359</td> <td>    0.037</td> <td>   -6.414</td> <td> 0.000</td> <td>   -0.308</td> <td>   -0.164</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>gender_2</th>              <td>    0.0644</td> <td>    0.029</td> <td>    2.207</td> <td> 0.027</td> <td>    0.007</td> <td>    0.122</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>race_2</th>                <td>   -0.1463</td> <td>    0.039</td> <td>   -3.752</td> <td> 0.000</td> <td>   -0.223</td> <td>   -0.070</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>race_3</th>                <td>   -0.3967</td> <td>    0.040</td> <td>   -9.990</td> <td> 0.000</td> <td>   -0.474</td> <td>   -0.319</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>race_4</th>                <td>   -0.3018</td> <td>    0.040</td> <td>   -7.583</td> <td> 0.000</td> <td>   -0.380</td> <td>   -0.224</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>profession_category_2</th> <td>    0.1054</td> <td>    0.038</td> <td>    2.780</td> <td> 0.005</td> <td>    0.031</td> <td>    0.180</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>profession_category_3</th> <td>   -0.3787</td> <td>    0.040</td> <td>   -9.407</td> <td> 0.000</td> <td>   -0.458</td> <td>   -0.300</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>profession_category_4</th> <td>    0.0182</td> <td>    0.038</td> <td>    0.480</td> <td> 0.631</td> <td>   -0.056</td> <td>    0.093</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                           Logit Regression Results                           \n",
       "==============================================================================\n",
       "Dep. Variable:               selected   No. Observations:                19081\n",
       "Model:                          Logit   Df Residuals:                    19072\n",
       "Method:                           MLE   Df Model:                            8\n",
       "Date:                Tue, 22 Jun 2021   Pseudo R-squ.:                 0.07466\n",
       "Time:                        16:15:19   Log-Likelihood:                -12077.\n",
       "converged:                       True   LL-Null:                       -13051.\n",
       "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
       "=========================================================================================\n",
       "                            coef    std err          z      P>|z|      [0.025      0.975]\n",
       "-----------------------------------------------------------------------------------------\n",
       "age_45                    1.1357      0.032     35.635      0.000       1.073       1.198\n",
       "age_75                   -0.2359      0.037     -6.414      0.000      -0.308      -0.164\n",
       "gender_2                  0.0644      0.029      2.207      0.027       0.007       0.122\n",
       "race_2                   -0.1463      0.039     -3.752      0.000      -0.223      -0.070\n",
       "race_3                   -0.3967      0.040     -9.990      0.000      -0.474      -0.319\n",
       "race_4                   -0.3018      0.040     -7.583      0.000      -0.380      -0.224\n",
       "profession_category_2     0.1054      0.038      2.780      0.005       0.031       0.180\n",
       "profession_category_3    -0.3787      0.040     -9.407      0.000      -0.458      -0.300\n",
       "profession_category_4     0.0182      0.038      0.480      0.631      -0.056       0.093\n",
       "=========================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit x and y with an logistic regression\n",
    "reg = sm.Logit(y, xdum).fit()\n",
    "reg.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get average marginal effect and associated pvalues and standard error values\n",
    "AMCE = reg.get_margeff(at = \"overall\", method = \"dydx\")\n",
    "AMCE_margeff = AMCE.margeff\n",
    "AMCE_pvalues = AMCE.pvalues\n",
    "AMCE_stderr = AMCE.margeff_se"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Logit Marginal Effects       \n",
      "=====================================\n",
      "Dep. Variable:               selected\n",
      "Method:                          dydx\n",
      "At:                           overall\n",
      "=========================================================================================\n",
      "                           dy/dx    std err          z      P>|z|      [0.025      0.975]\n",
      "-----------------------------------------------------------------------------------------\n",
      "age_45                    0.2510      0.006     41.093      0.000       0.239       0.263\n",
      "age_75                   -0.0521      0.008     -6.442      0.000      -0.068      -0.036\n",
      "gender_2                  0.0142      0.006      2.208      0.027       0.002       0.027\n",
      "race_2                   -0.0323      0.009     -3.757      0.000      -0.049      -0.015\n",
      "race_3                   -0.0877      0.009    -10.087      0.000      -0.105      -0.071\n",
      "race_4                   -0.0667      0.009     -7.625      0.000      -0.084      -0.050\n",
      "profession_category_2     0.0233      0.008      2.782      0.005       0.007       0.040\n",
      "profession_category_3    -0.0837      0.009     -9.489      0.000      -0.101      -0.066\n",
      "profession_category_4     0.0040      0.008      0.480      0.631      -0.012       0.020\n",
      "=========================================================================================\n"
     ]
    }
   ],
   "source": [
    "print(AMCE.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The AUROC of the training data is  0.6808902706664279\n"
     ]
    }
   ],
   "source": [
    "# Get AUROC on the entire (training) dataset\n",
    "y_pred = reg.predict(xdum)\n",
    "\n",
    "auroc_train = roc_auc_score(y, y_pred)\n",
    "\n",
    "print(\"The AUROC of the training data is \", auroc_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a dataframe with the different features, their coefficients, p values, and stderrors\n",
    "df_AMCE_margeff = pd.DataFrame({\n",
    "    'feature_names': reg.params.keys()\n",
    "    , 'feature_effs': AMCE_margeff\n",
    "    , 'pval': AMCE_pvalues\n",
    "    , 'stderr' : AMCE_stderr\n",
    "})\n",
    "\n",
    "# get absolute of feature effects\n",
    "df_AMCE_margeff['abs_feature_eff'] = np.abs(df_AMCE_margeff['feature_effs'])\n",
    "\n",
    "# marking features that are significant under 95% confidence interval\n",
    "df_AMCE_margeff['is_sig'] = (df_AMCE_margeff['pval'] < 0.05)\n",
    "\n",
    "# assigning different colors for different feature plots according to significance\n",
    "# blue (#abdafc) = significant, red (#e88888) = insignificant\n",
    "df_AMCE_margeff['c'] = ['#abdafc' if x else '#e88888' for x in df_AMCE_margeff['is_sig']]\n",
    "\n",
    "# sort by feature name\n",
    "df_AMCE_margeff = df_AMCE_margeff.sort_values(by=['feature_names'], ascending = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature_names</th>\n",
       "      <th>feature_effs</th>\n",
       "      <th>pval</th>\n",
       "      <th>stderr</th>\n",
       "      <th>abs_feature_eff</th>\n",
       "      <th>is_sig</th>\n",
       "      <th>c</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>age_45</td>\n",
       "      <td>0.250999</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.006108</td>\n",
       "      <td>0.250999</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>age_75</td>\n",
       "      <td>-0.052134</td>\n",
       "      <td>1.178023e-10</td>\n",
       "      <td>0.008093</td>\n",
       "      <td>0.052134</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>gender_2</td>\n",
       "      <td>0.014238</td>\n",
       "      <td>2.725401e-02</td>\n",
       "      <td>0.006449</td>\n",
       "      <td>0.014238</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>profession_category_2</td>\n",
       "      <td>0.023304</td>\n",
       "      <td>5.404581e-03</td>\n",
       "      <td>0.008377</td>\n",
       "      <td>0.023304</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>profession_category_3</td>\n",
       "      <td>-0.083700</td>\n",
       "      <td>2.336387e-21</td>\n",
       "      <td>0.008821</td>\n",
       "      <td>0.083700</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>profession_category_4</td>\n",
       "      <td>0.004027</td>\n",
       "      <td>6.312717e-01</td>\n",
       "      <td>0.008391</td>\n",
       "      <td>0.004027</td>\n",
       "      <td>False</td>\n",
       "      <td>#e88888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>race_2</td>\n",
       "      <td>-0.032339</td>\n",
       "      <td>1.720882e-04</td>\n",
       "      <td>0.008608</td>\n",
       "      <td>0.032339</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>race_3</td>\n",
       "      <td>-0.087662</td>\n",
       "      <td>6.320198e-24</td>\n",
       "      <td>0.008691</td>\n",
       "      <td>0.087662</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>race_4</td>\n",
       "      <td>-0.066708</td>\n",
       "      <td>2.445067e-14</td>\n",
       "      <td>0.008749</td>\n",
       "      <td>0.066708</td>\n",
       "      <td>True</td>\n",
       "      <td>#abdafc</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           feature_names  feature_effs          pval    stderr  abs_feature_eff  is_sig        c\n",
       "0                 age_45      0.250999  0.000000e+00  0.006108         0.250999    True  #abdafc\n",
       "1                 age_75     -0.052134  1.178023e-10  0.008093         0.052134    True  #abdafc\n",
       "2               gender_2      0.014238  2.725401e-02  0.006449         0.014238    True  #abdafc\n",
       "6  profession_category_2      0.023304  5.404581e-03  0.008377         0.023304    True  #abdafc\n",
       "7  profession_category_3     -0.083700  2.336387e-21  0.008821         0.083700    True  #abdafc\n",
       "8  profession_category_4      0.004027  6.312717e-01  0.008391         0.004027   False  #e88888\n",
       "3                 race_2     -0.032339  1.720882e-04  0.008608         0.032339    True  #abdafc\n",
       "4                 race_3     -0.087662  6.320198e-24  0.008691         0.087662    True  #abdafc\n",
       "5                 race_4     -0.066708  2.445067e-14  0.008749         0.066708    True  #abdafc"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_AMCE_margeff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create dict of effects for plotting\n",
    "pwu = df_AMCE_margeff['feature_effs']\n",
    "data = {'other professions': pwu[8], 'business-related professions': pwu[7], 'STEM-related professions': pwu[6], 'governance-related professions': 0,\n",
    "        'asian': pwu[5], 'latino': pwu[4], 'black': pwu[3], 'white': 0,\n",
    "        'female': pwu[2], 'male': 0, \n",
    "        '75/senior': pwu[1], '45/middle-aged': pwu[0],'25/young': 0}\n",
    "names = list(data.keys())\n",
    "values = list(data.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create dict of errors for plotting\n",
    "err = df_AMCE_margeff['stderr']\n",
    "xerr = {'other professions': err[8], 'business-related professions': err[7], 'STEM-related professions': err[6], 'governance-related professions': 0,\n",
    "        'asian': err[5], 'latino': err[4], 'black': err[3], 'white': 0,\n",
    "        'female': err[2], 'male': 0, \n",
    "        '75/senior': err[1], '45/middle-aged': err[0],'25/young': 0}\n",
    "err_values = list(xerr.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Change in Pr(Advisor Profile is Selected)')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot!\n",
    "fig, axs = plt.subplots(figsize=(10, 8))\n",
    "axs.set_facecolor('white')\n",
    "axs.xaxis.grid(False)\n",
    "axs.axvline(0, linestyle='--', color='grey', lw=0.5)\n",
    "[plt.axhline(y=i, linestyle='--', color='grey', lw=0.5) for i in [0,1,2,3,4,5,6,7,8,9,10,11,12]]\n",
    "axs.spines['top'].set_visible(False)\n",
    "axs.spines['right'].set_visible(False)\n",
    "axs.spines['left'].set_visible(False)\n",
    "plt.errorbar(values, names, xerr=err_values, fmt='o', color='#6abffc')\n",
    "plt.xticks(fontsize=20, color='black')\n",
    "plt.yticks(fontsize=20, color='black',  rotation=45)\n",
    "plt.xlabel('Change in Pr(Advisor Profile is Selected)', fontsize=20, color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define dict to contain all the marginal effects in each attribute\n",
    "range_per_attribute = dict()\n",
    "\n",
    "# compute all the marginal effects in each attribute\n",
    "for key, coeff in reg.params.items():\n",
    "    sk =  key.split('_')\n",
    "    feature = sk[0]\n",
    "    if len(sk) == 1:\n",
    "        feature = key\n",
    "    if feature not in range_per_attribute:\n",
    "        range_per_attribute[feature] = list()\n",
    "        \n",
    "    range_per_attribute[feature].append(coeff)\n",
    "    \n",
    "# add marginal effects of reference level = 0\n",
    "range_per_attribute['age'].append(0) # age = 25\n",
    "range_per_attribute['gender'].append(0) # gender = male\n",
    "range_per_attribute['race'].append(0) # race = white\n",
    "range_per_attribute['profession'].append(0) # profession = gov related"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importance of an attribute is defined as the range of marginal effects within each attribute\n",
    "# where range is max(x) - min(x)\n",
    "importance_per_attribute = {\n",
    "    k: max(v) - min(v) for k, v in range_per_attribute.items()\n",
    "}\n",
    "\n",
    "# relative importance per attribute is normalized importance = dividing by sum of importance for all attributes\n",
    "total_attribute_importance = sum(importance_per_attribute.values())\n",
    "relative_importance_per_attribute = {\n",
    "    k: 100 * round(v/total_attribute_importance, 3) for k, v in importance_per_attribute.items()\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create dataframe to plot the relative importance of each attribute\n",
    "alt_data = pd.DataFrame(list(relative_importance_per_attribute.items()),columns=['attr', 'relative_importance']\n",
    "                       ).sort_values(by='relative_importance', ascending=True)\n",
    "\n",
    "# plot the relative importance of each attribute\n",
    "f, ax = plt.subplots(figsize=(10, 8))\n",
    "\n",
    "# arrange from attribute with highest importance to attribute with lowest importance\n",
    "xbar = np.arange(len(alt_data['attr']))\n",
    "\n",
    "# define bar plots\n",
    "plt.barh(xbar, alt_data['relative_importance'],color='#abdafc')\n",
    "\n",
    "# format data labels\n",
    "for i, v in enumerate(alt_data['relative_importance']):\n",
    "    ax.text(v , i + .25, '{:.2f}%'.format(v), fontsize=15)\n",
    "\n",
    "# x axis label\n",
    "plt.xlabel('% relative importance', fontsize=17)\n",
    "\n",
    "# set y ticks\n",
    "plt.yticks(xbar, alt_data['attr'])\n",
    "labels = [item.get_text() for item in ax.get_yticklabels()]\n",
    "labels[1] = 'ethnicity' # using ethnicity instead of race to ensure consistency\n",
    "ax.set_yticklabels(labels, fontsize=15, rotation=45)\n",
    "\n",
    "# some style choices\n",
    "for spine in ax.spines:\n",
    "    ax.spines[spine].set_color('grey')\n",
    "ax.set_facecolor('white')\n",
    "ax.tick_params(labelsize=15)\n",
    "ax.grid(False)\n",
    "\n",
    "# show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Reporting AUROC - leave-one-subject-out cross validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# form dataset including x, y, and session_id (to identify subjects given each subject has a unique session id)\n",
    "data = dataset_conjoint[['session_id','age', 'gender', 'race', 'profession_category', 'selected']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dummy encode values except for session_id and y value selected\n",
    "data = pd.get_dummies(data, columns=[c for c in data.columns if c != 'session_id' and c!='selected'], drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create list of unique session_ids\n",
    "IDlist = list(data['session_id'])\n",
    "IDlist_unique = unique(IDlist)\n",
    "data['session_id'] = data['session_id'].apply(str)\n",
    "y_pred_arr = []\n",
    "y_test_arr = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632824\n",
      "         Iterations 5\n",
      "training # 304SM51WA34Z8NSIG9O4L67H4DVBS4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632911\n",
      "         Iterations 5\n",
      "training # 304SM51WA34Z8NSIG9O4L67H5OCBS8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633023\n",
      "         Iterations 5\n",
      "training # 304SM51WA34Z8NSIG9O4L67H5OZBSV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632773\n",
      "         Iterations 5\n",
      "training # 308Q0PEVB8DRQGAPDDGUQY648WC9IL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633074\n",
      "         Iterations 5\n",
      "training # 308XBLVESI4N78S51KOZVW2LJMKBRB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632879\n",
      "         Iterations 5\n",
      "training # 30BUDKLTXDVW9O6RE4DMT33AUMJ5E8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632958\n",
      "         Iterations 5\n",
      "training # 30BXRYBRP4X26HCD068146D05G2HW1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633074\n",
      "         Iterations 5\n",
      "training # 30IQTZXKAK66KHB7C3X20XSQRG90X7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632803\n",
      "         Iterations 5\n",
      "training # 30IQTZXKAK66KHB7C3X20XSQRJAX0B completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633045\n",
      "         Iterations 5\n",
      "training # 30JNVC0OR9KXMKGROX9VCHVEI4YHQP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632715\n",
      "         Iterations 5\n",
      "training # 30JNVC0OR9KXMKGROX9VCHVEIE8QHS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632901\n",
      "         Iterations 5\n",
      "training # 30LSNF239UVGQWPQS41FGBYQ1SAI2D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632967\n",
      "         Iterations 5\n",
      "training # 30OG32W0SUB0ZDCXI498NK3WKBXNE1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632805\n",
      "         Iterations 5\n",
      "training # 30OG32W0SUB0ZDCXI498NK3WKSWNEY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633028\n",
      "         Iterations 5\n",
      "training # 30OG32W0SUB0ZDCXI498NK3WMHRNE9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632637\n",
      "         Iterations 5\n",
      "training # 30ZX6P7VF8VCL79WAMMFSCDQFKO2JP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632923\n",
      "         Iterations 5\n",
      "training # 3137ONMDKG5UPLVBV0WDX0UZJZBGEM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632951\n",
      "         Iterations 5\n",
      "training # 317HQ483I7SCFIEJENZZ8Z1ODJYNIZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632820\n",
      "         Iterations 5\n",
      "training # 317HQ483I7SCFIEJENZZ8Z1ODPWNI9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632707\n",
      "         Iterations 5\n",
      "training # 3180JW2OT4C4K4SJS5ODQJG2ZI5J59 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632939\n",
      "         Iterations 5\n",
      "training # 31EUONYN2V3ZJ9YVE9YV2DRN97TVOZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633011\n",
      "         Iterations 5\n",
      "training # 31IBVUNM9SZ5DWL2F6F5FJI9IFEFVS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633084\n",
      "         Iterations 5\n",
      "training # 31IBVUNM9SZ5DWL2F6F5FJI9IFIFVW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632704\n",
      "         Iterations 5\n",
      "training # 31IBVUNM9SZ5DWL2F6F5FJI9JB5VFS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632858\n",
      "         Iterations 5\n",
      "training # 31JLPPHS2UUF70WCUZSPJIZ4IR1O34 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633028\n",
      "         Iterations 5\n",
      "training # 31JLPPHS2UUF70WCUZSPJIZ4JWCO3Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 31LM9EDVOLS8ATYPW5KZK0GOPJTNJM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632820\n",
      "         Iterations 5\n",
      "training # 31LVTDXBL7AZKHEHSXDT9ZYQTY6RLK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632925\n",
      "         Iterations 5\n",
      "training # 31LVTDXBL7AZKHEHSXDT9ZYQV68RL4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632914\n",
      "         Iterations 5\n",
      "training # 31N2WW6R9RQL1NJJVW9ZWOQQQRXF3Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632948\n",
      "         Iterations 5\n",
      "training # 31Q0U3WYDPFCCRQYQ9X4K3YCWYB17V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632868\n",
      "         Iterations 5\n",
      "training # 31QNSG6A5RTUNRAJPU6JZDLKAWG875 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633119\n",
      "         Iterations 5\n",
      "training # 31QTRG6Q2TDY8351YKYUYC073J4PYE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632806\n",
      "         Iterations 5\n",
      "training # 31T4R4OBOSGWZU0W66MO1ZH30G17CW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632890\n",
      "         Iterations 5\n",
      "training # 31Z0PCVWUKFDLB27SSHEQ9H7OHG7TO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633099\n",
      "         Iterations 5\n",
      "training # 323Q6SJS8IG0VVQIAHY10IR09S4FHM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632907\n",
      "         Iterations 5\n",
      "training # 323Q6SJS8IG0VVQIAHY10IR0A71FHE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632984\n",
      "         Iterations 5\n",
      "training # 324G5B4FB38C525GUQT46YF2RRA072 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632830\n",
      "         Iterations 5\n",
      "training # 326O153BMIYRD1LKTAV5RFR27VIDE9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632793\n",
      "         Iterations 5\n",
      "training # 32AT8R96GL9E4M1OG05ZQWZ5UBQSUH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632792\n",
      "         Iterations 5\n",
      "training # 32AT8R96GL9E4M1OG05ZQWZ5UUMSUF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633000\n",
      "         Iterations 5\n",
      "training # 32EYX73OY092371B1B5U0MU96OCURS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633023\n",
      "         Iterations 5\n",
      "training # 32EYX73OY092371B1B5U0MU98JURUZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633074\n",
      "         Iterations 5\n",
      "training # 32KTQ2V7RDFDMZ0GYSEMIRDLP9ZM9P completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632817\n",
      "         Iterations 5\n",
      "training # 32N49TQG3GIAH54U4QTD1I7IMA1AVX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632775\n",
      "         Iterations 5\n",
      "training # 32N49TQG3GIAH54U4QTD1I7IMMYVA3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632744\n",
      "         Iterations 5\n",
      "training # 32N49TQG3GIAH54U4QTD1I7IMVMVA9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 32N49TQG3GIAH54U4QTD1I7IMVOAVQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632851\n",
      "         Iterations 5\n",
      "training # 32Q90QCQ1SLZR7RULRHSVSMSRT2KEU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632834\n",
      "         Iterations 5\n",
      "training # 32RIADZISS4FNO791UEHDS1BVI9S45 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633005\n",
      "         Iterations 5\n",
      "training # 32RIADZISS4FNO791UEHDS1BVYBS43 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633060\n",
      "         Iterations 5\n",
      "training # 32SCWG5HIH4WPJVVS132FLGE44DP66 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632936\n",
      "         Iterations 5\n",
      "training # 32SVAV9L3F9Q5W2BKGN7INFZUF83A6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633001\n",
      "         Iterations 5\n",
      "training # 32SVAV9L3F9Q5W2BKGN7INFZV1OA32 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633021\n",
      "         Iterations 5\n",
      "training # 32UTUBMZ7GWF0F9MA4T9WTRO2DPBV0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632804\n",
      "         Iterations 5\n",
      "training # 32UTUBMZ7GWF0F9MA4T9WTRO4J7BVW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633010\n",
      "         Iterations 5\n",
      "training # 32VNZTT0A743M97WM5ECNIWF9ZUR4M completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632933\n",
      "         Iterations 5\n",
      "training # 32Z9ZLUT1LKU183B9KHRNC0E3XHOHD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632769\n",
      "         Iterations 5\n",
      "training # 32ZKVD547FNVO673QUN3DYZ5D9WB31 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633012\n",
      "         Iterations 5\n",
      "training # 3300DTYQT2HL2APPYW1PREY1PMLQES completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633049\n",
      "         Iterations 5\n",
      "training # 3300DTYQT2HL2APPYW1PREY1QIAQEA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632970\n",
      "         Iterations 5\n",
      "training # 336KAV9KYQS2GW4VWMNI2ZSESVP2YP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632942\n",
      "         Iterations 5\n",
      "training # 336YQZE83VEULCY4V2156B8J2SS5MM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633010\n",
      "         Iterations 5\n",
      "training # 337RC3OW052RDOVY1HI3AWNTGMWVLW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633081\n",
      "         Iterations 5\n",
      "training # 33CID57104T71FTFH7CXR1VAOR7L36 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632942\n",
      "         Iterations 5\n",
      "training # 33CKWXB73JKY15BW1TGVJT7ZTGN11I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632850\n",
      "         Iterations 5\n",
      "training # 33CUSNVVNNCYN5F2ZZYPDDHFJ5A88S completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632922\n",
      "         Iterations 5\n",
      "training # 33CUSNVVNNCYN5F2ZZYPDDHFJ8J887 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632822\n",
      "         Iterations 5\n",
      "training # 33FBRBDW6OZ0Z85FGBEUFZDY9VBC8G completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632872\n",
      "         Iterations 5\n",
      "training # 33FOTY3KEMLIO8LUHQ5F0PQQXV71C1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632928\n",
      "         Iterations 5\n",
      "training # 33IZTU6J8116LQVJL5GMA3Y9NGGXSW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632932\n",
      "         Iterations 5\n",
      "training # 33JKGHPFYCUYB14AZ2XR0S85UPRNMI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633024\n",
      "         Iterations 5\n",
      "training # 33L7PJKHCGYHLP7Q2X9K49D2YQLT89 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632906\n",
      "         Iterations 5\n",
      "training # 33L7PJKHCGYHLP7Q2X9K49D2Z53T8M completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632723\n",
      "         Iterations 5\n",
      "training # 33LK57MYLT5VQLVYMN477OEKWIIZS4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632967\n",
      "         Iterations 5\n",
      "training # 33LKR6A5KEKZAPN53C05PZQULDI1TN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632950\n",
      "         Iterations 5\n",
      "training # 33M4IA01QG1UKBV66GGHKTTD29KRXG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632766\n",
      "         Iterations 5\n",
      "training # 33OOO72IVHLJXSX3J9PP6V9LPWKCT7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632886\n",
      "         Iterations 5\n",
      "training # 33PPO7FECVF3T6N6PTLWCUPUY02DII completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632904\n",
      "         Iterations 5\n",
      "training # 33PPUNGG385JP6VL7Y42HE9O85ERZZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632994\n",
      "         Iterations 5\n",
      "training # 33SA9F9TRXUQM7LBA50VJ3GNEZ0WEP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633013\n",
      "         Iterations 5\n",
      "training # 33TIN5LC04ADGGPUHV2XCM0SWSUY9O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632922\n",
      "         Iterations 5\n",
      "training # 33UKMF9319K0J9ZE5VKFV59PC36TTY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632766\n",
      "         Iterations 5\n",
      "training # 33UKMF9319K0J9ZE5VKFV59PDZITT3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632883\n",
      "         Iterations 5\n",
      "training # 34BBWHLWHAB22CNX6OQM4IEF642WIH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632882\n",
      "         Iterations 5\n",
      "training # 34FNN24DCM9UFTNIE5PG06VQAXYY5M completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632981\n",
      "         Iterations 5\n",
      "training # 34HJIJKLP5WVFGODVPJMOFLIU0CV4E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632908\n",
      "         Iterations 5\n",
      "training # 34HJIJKLP5WVFGODVPJMOFLIULRV4Z completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632825\n",
      "         Iterations 5\n",
      "training # 34HJIJKLP5WVFGODVPJMOFLIUR64VZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632982\n",
      "         Iterations 5\n",
      "training # 34MAJL3QP4NB37MUBFDG5KTZ11S433 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632885\n",
      "         Iterations 5\n",
      "training # 34MAJL3QP4NB37MUBFDG5KTZ25C34V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633069\n",
      "         Iterations 5\n",
      "training # 34MAJL3QP4NB37MUBFDG5KTZ32H43W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632821\n",
      "         Iterations 5\n",
      "training # 34PGFRQONOBYXN73O6BMGJTFJ9CWJU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632736\n",
      "         Iterations 5\n",
      "training # 34QN5IT0TZRG5GAZ4VLAKYBX09U08X completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633080\n",
      "         Iterations 5\n",
      "training # 34QN5IT0TZRG5GAZ4VLAKYBX2BA08J completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633064\n",
      "         Iterations 5\n",
      "training # 34QN5IT0TZRG5GAZ4VLAKYBX2BA80R completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632917\n",
      "         Iterations 5\n",
      "training # 34QN5IT0TZRG5GAZ4VLAKYBX2SH08O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 34S6N1K2ZVJMVN0EWS1ZVVWK8BKLH3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632799\n",
      "         Iterations 5\n",
      "training # 34S9DKFK73PY5ITOI5L2UNVC1GWYN6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632903\n",
      "         Iterations 5\n",
      "training # 34S9DKFK73PY5ITOI5L2UNVC34RYNF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 34V1S5K3GS1BXWFOBC75TVGZYOS963 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 34V1S5K3GS1BXWFOBC75TVGZZ25969 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632919\n",
      "         Iterations 5\n",
      "training # 34X6J5FLPTYTDQBHCXCGOUBTV80QJP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632798\n",
      "         Iterations 5\n",
      "training # 351SEKWQS0HPPPDXA8JO4NWBF9MDMY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632918\n",
      "         Iterations 5\n",
      "training # 352YTHGROVDQXFTTQ02I9EU9MMR4HP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632806\n",
      "         Iterations 5\n",
      "training # 354P56DE9K3C6BPS3SCOG4LLKEKS7W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632837\n",
      "         Iterations 5\n",
      "training # 354P56DE9K3C6BPS3SCOG4LLMJ0S7O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632771\n",
      "         Iterations 5\n",
      "training # 354P56DE9K3C6BPS3SCOG4LLMJT7SW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633016\n",
      "         Iterations 5\n",
      "training # 3570Y55XZPJSVQC2V18743MF06WGY6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632848\n",
      "         Iterations 5\n",
      "training # 3570Y55XZPJSVQC2V18743MF277YG3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632918\n",
      "         Iterations 5\n",
      "training # 358UUM7WRZ305WPFO3CJQUGP0WBR7N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632948\n",
      "         Iterations 5\n",
      "training # 35BLDD71I6XBIDC2GI9CIBYRTF2ZVJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632927\n",
      "         Iterations 5\n",
      "training # 35DR22AR5DK219A4VQFL2VQXW313X1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632973\n",
      "         Iterations 5\n",
      "training # 35GCEFQ6I5OR64AJW836ZG682WJZ3Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 35GMH2SV3EHIHYC9JJ9L2931AL2OEH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633066\n",
      "         Iterations 5\n",
      "training # 35GMH2SV3EHIHYC9JJ9L2931BHSOE0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632881\n",
      "         Iterations 5\n",
      "training # 35H6S234SA0SW9DC8MUOHFBXDDZ565 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632910\n",
      "         Iterations 5\n",
      "training # 35LDD5557A4X3VJ72P5B80R1YD6MKW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632752\n",
      "         Iterations 5\n",
      "training # 369J354OFDAQC62WPIDFLC2M21NG61 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632734\n",
      "         Iterations 5\n",
      "training # 369J354OFDAQC62WPIDFLC2M21O6GS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632850\n",
      "         Iterations 5\n",
      "training # 369J354OFDAQC62WPIDFLC2M2F96G5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632995\n",
      "         Iterations 5\n",
      "training # 36AHBNMV1RCPJ62BTB7ZYIJIOJ2DYQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632876\n",
      "         Iterations 5\n",
      "training # 36AHBNMV1RCPJ62BTB7ZYIJIPUXDY8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633184\n",
      "         Iterations 5\n",
      "training # 36DSNE9QZ5YQSEY1XKKCZPGTEODOJ6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633005\n",
      "         Iterations 5\n",
      "training # 36DSNE9QZ5YQSEY1XKKCZPGTFT5JO4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632920\n",
      "         Iterations 5\n",
      "training # 36DSNE9QZ5YQSEY1XKKCZPGTFTYJOX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632934\n",
      "         Iterations 5\n",
      "training # 36TFCYNS44AHVHH3AB4N6PR7F84HX7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632853\n",
      "         Iterations 5\n",
      "training # 36U2A8VAG1ZXXC8LLSTM2VE888AKYH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632876\n",
      "         Iterations 5\n",
      "training # 36U2A8VAG1ZXXC8LLSTM2VE89KBKY7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632910\n",
      "         Iterations 5\n",
      "training # 36U2A8VAG1ZXXC8LLSTM2VE89UZYKT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633050\n",
      "         Iterations 5\n",
      "training # 36W0OB37HWE60CHIBTS83A7INJ1ZH7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633110\n",
      "         Iterations 5\n",
      "training # 36W0OB37HWE60CHIBTS83A7INQYZHI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633128\n",
      "         Iterations 5\n",
      "training # 373ERPL3YO8N3UMM16FKVQ87P2YRTD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632911\n",
      "         Iterations 5\n",
      "training # 374TNBHA8BVJ8F6GYXDJYHQH80VQYH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632917\n",
      "         Iterations 5\n",
      "training # 374TNBHA8BVJ8F6GYXDJYHQH82PQYF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632925\n",
      "         Iterations 5\n",
      "training # 378XPAWRUCD5VZKU5JUUMTHOEENAIU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632946\n",
      "         Iterations 5\n",
      "training # 378XPAWRUCD5VZKU5JUUMTHOETRAIS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632891\n",
      "         Iterations 5\n",
      "training # 379J5II41OGABD9C6RTTASZ7E8TEL5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632845\n",
      "         Iterations 5\n",
      "training # 379J5II41OGABD9C6RTTASZ7GATELB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632894\n",
      "         Iterations 5\n",
      "training # 37FMASSAYCRAE9PMBXUQH41UVFQBI9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632986\n",
      "         Iterations 5\n",
      "training # 37KGEN7NJ3Q4ZPD07X2BLL7VXQZPP4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632834\n",
      "         Iterations 5\n",
      "training # 37M28K1J0QD1QA40N1FUYUWORR9AJZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633016\n",
      "         Iterations 5\n",
      "training # 37Q970SNZE8YVPAQECVFFUU8HX7S1W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633116\n",
      "         Iterations 5\n",
      "training # 37Q970SNZE8YVPAQECVFFUU8I131SA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632716\n",
      "         Iterations 5\n",
      "training # 37QW5D2ZRGMG6PUBDX4UU4HGVYRS8K completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632910\n",
      "         Iterations 5\n",
      "training # 37QW5D2ZRGMG6PUBDX4UU4HGX4ES8L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633100\n",
      "         Iterations 5\n",
      "training # 37QW5D2ZRGMG6PUBDX4UU4HGX9M8SJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 37TRT2X24QR69K9STFFQT5GU98VJB2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632810\n",
      "         Iterations 5\n",
      "training # 37UQDCYH6XVSY36WXNHTRR5SMWCV7X completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633066\n",
      "         Iterations 5\n",
      "training # 37W3JXSD668OSC22A6CPQ683UTJWYG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632733\n",
      "         Iterations 5\n",
      "training # 37W3JXSD668OSC22A6CPQ683W0SWY5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632884\n",
      "         Iterations 5\n",
      "training # 37W3JXSD668OSC22A6CPQ683WAQWYN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633133\n",
      "         Iterations 5\n",
      "training # 37W3JXSD668OSC22A6CPQ683WGLYWW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633024\n",
      "         Iterations 5\n",
      "training # 37W3JXSD668OSC22A6CPQ683X4QWYC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632909\n",
      "         Iterations 5\n",
      "training # 37WLF8U1WPQVESYFF9YUJ4UFAKNK6W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632863\n",
      "         Iterations 5\n",
      "training # 37XITHEISW96HDKBFKKU6G8310LRCL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632995\n",
      "         Iterations 5\n",
      "training # 37XITHEISW96HDKBFKKU6G83ZRARCQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632834\n",
      "         Iterations 5\n",
      "training # 37ZHEEHM6WM8MU4DDDBN8WD9T7573M completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 382M9COHEHFDU3W6F5LU1FVQTAYUEF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632659\n",
      "         Iterations 5\n",
      "training # 382M9COHEHFDU3W6F5LU1FVQTB2UEL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632864\n",
      "         Iterations 5\n",
      "training # 384PI804XS1YO0P8ITRF1PBYC5U0SU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632984\n",
      "         Iterations 5\n",
      "training # 386PBUZZXFXIMTV4KS4K78CZKOTLJI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632956\n",
      "         Iterations 5\n",
      "training # 386PBUZZXFXIMTV4KS4K78CZLKHJLX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632938\n",
      "         Iterations 5\n",
      "training # 388U7OUMF71MNLPV34RABF62S32R0Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633076\n",
      "         Iterations 5\n",
      "training # 388U7OUMF71MNLPV34RABF62SBZ0RC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632797\n",
      "         Iterations 5\n",
      "training # 38BQUHLA9W0GTM4M0HX4FH8AIQDOMV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632864\n",
      "         Iterations 5\n",
      "training # 38F5OAUN5NCNG2BCSY0PCQEJB367HT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632902\n",
      "         Iterations 5\n",
      "training # 38F5OAUN5NCNG2BCSY0PCQEJB5J7HA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633043\n",
      "         Iterations 5\n",
      "training # 38JBBYETQOAED52R0ZUCOBXWTU2E4X completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632918\n",
      "         Iterations 5\n",
      "training # 38JBBYETQOAED52R0ZUCOBXWUQP4E3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632869\n",
      "         Iterations 5\n",
      "training # 38SKSKU7R1XMRIBY2AJKV7XZ794IL3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633115\n",
      "         Iterations 5\n",
      "training # 38SKSKU7R1XMRIBY2AJKV7XZ7VMLIW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632962\n",
      "         Iterations 5\n",
      "training # 38YMOXR4MUZM9SSW4NHX7FOAXLZW6V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633106\n",
      "         Iterations 5\n",
      "training # 3907X2AHF0587ICU5ZRZP8Z2NN82PA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633089\n",
      "         Iterations 5\n",
      "training # 392CY0QWG1RQTA4DWIK39QVOMP4I4A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632930\n",
      "         Iterations 5\n",
      "training # 39ASUFLU6X75B7Q1KAWHLMUUMP7EXC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632857\n",
      "         Iterations 5\n",
      "training # 39ASUFLU6X75B7Q1KAWHLMUUNLWXED completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633011\n",
      "         Iterations 5\n",
      "training # 39GAF6DQWR0ENHRU870KQHEFH5W1VE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632870\n",
      "         Iterations 5\n",
      "training # 39GAF6DQWR0ENHRU870KQHEFI1J1VU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632829\n",
      "         Iterations 5\n",
      "training # 39GAF6DQWR0ENHRU870KQHEFIQL1VA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632883\n",
      "         Iterations 5\n",
      "training # 39GAF6DQWR0ENHRU870KQHEFITOV1D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632908\n",
      "         Iterations 5\n",
      "training # 39GXDJN2OTEWYHBF7S9Z5R1NVB18V4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633092\n",
      "         Iterations 5\n",
      "training # 39GXDJN2OTEWYHBF7S9Z5R1NW3IV8T completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633026\n",
      "         Iterations 5\n",
      "training # 39GXDJN2OTEWYHBF7S9Z5R1NWCSV8L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632936\n",
      "         Iterations 5\n",
      "training # 39JEC7537U1YAK1SO4P47DX6MP4CV7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633080\n",
      "         Iterations 5\n",
      "training # 39JEC7537U1YAK1SO4P47DX6MPUVCG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632860\n",
      "         Iterations 5\n",
      "training # 39K0FND3AHFRRIALQYSMEMO5V3KAMJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632902\n",
      "         Iterations 5\n",
      "training # 39KFRKBFINVGN3T0JKLF9CVHTLAOYC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632960\n",
      "         Iterations 5\n",
      "training # 39KFRKBFINVGN3T0JKLF9CVHTU4OYO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633000\n",
      "         Iterations 5\n",
      "training # 39KFRKBFINVGN3T0JKLF9CVHTU5OYP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632883\n",
      "         Iterations 5\n",
      "training # 39KFRKBFINVGN3T0JKLF9CVHTUFOYZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632908\n",
      "         Iterations 5\n",
      "training # 39L1G8WVWQRUB8PBOXUE7MMWQ0F13N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632840\n",
      "         Iterations 5\n",
      "training # 39L1G8WVWQRUB8PBOXUE7MMWRXU13X completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632905\n",
      "         Iterations 5\n",
      "training # 39LNWE0K4UWPA8YSBOBLMUTIJW2UI5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632870\n",
      "         Iterations 5\n",
      "training # 39LNWE0K4UWPA8YSBOBLMUTIK0XIUX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632863\n",
      "         Iterations 5\n",
      "training # 39LOEL67OS5CM89WNI3TMW943N038L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632749\n",
      "         Iterations 5\n",
      "training # 39LOEL67OS5CM89WNI3TMW9452938Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632941\n",
      "         Iterations 5\n",
      "training # 39LOEL67OS5CM89WNI3TMW945J683Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632810\n",
      "         Iterations 5\n",
      "training # 39LOEL67OS5CM89WNI3TMW945NU38H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632854\n",
      "         Iterations 5\n",
      "training # 39OWYR0EPKRMHQG7KH2PMIM30WGFY1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632895\n",
      "         Iterations 5\n",
      "training # 39PAAFCODM0FW133AQKUWNXA8F5TVE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632732\n",
      "         Iterations 5\n",
      "training # 39PAAFCODM0FW133AQKUWNXA9OQTVI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632794\n",
      "         Iterations 5\n",
      "training # 39PAAFCODM0FW133AQKUWNXAASMTVN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632880\n",
      "         Iterations 5\n",
      "training # 39RP059MEHTWASFDWCSI9X8BCU0BMR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632836\n",
      "         Iterations 5\n",
      "training # 39RP059MEHTWASFDWCSI9X8BDPSMBL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633125\n",
      "         Iterations 5\n",
      "training # 39U1BHVTDLRVKS1KQGEODS5RJ143TX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632823\n",
      "         Iterations 5\n",
      "training # 3A0EX8ZRN8OW494RFFGT3SVIMDXBYJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632924\n",
      "         Iterations 5\n",
      "training # 3A1COHJ8NJVRGGGV23SVQQAEOSC8HT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633255\n",
      "         Iterations 5\n",
      "training # 3A1PQ49WVHH95GWA3IJGBGN68Q21H4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632852\n",
      "         Iterations 5\n",
      "training # 3A4TN5196KITSJ68JF80SC6XDNEHCW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632878\n",
      "         Iterations 5\n",
      "training # 3A4TN5196KITSJ68JF80SC6XEJXCH3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632934\n",
      "         Iterations 5\n",
      "training # 3A7Y0R2P2OODMNCTYB78I27MQOSXJM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632923\n",
      "         Iterations 5\n",
      "training # 3A7Y0R2P2OODMNCTYB78I27MRV1XJA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 3A9AA95ATWM06FVHNITXNF2E7X35PI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632654\n",
      "         Iterations 5\n",
      "training # 3AAJC4I4FGS2RIC8ZTVTFNNX00CZJX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632937\n",
      "         Iterations 5\n",
      "training # 3AAJC4I4FGS2RIC8ZTVTFNNX09LJZ8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633053\n",
      "         Iterations 5\n",
      "training # 3AMW0RGHOD24W41NRIPJHW20YI0NPN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633032\n",
      "         Iterations 5\n",
      "training # 3AMYWKA6YBME4JJUD1QNQLBOTD5O63 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632930\n",
      "         Iterations 5\n",
      "training # 3AMYWKA6YBME4JJUD1QNQLBOU1NO6Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633025\n",
      "         Iterations 5\n",
      "training # 3AMYWKA6YBME4JJUD1QNQLBOUY9O6E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632970\n",
      "         Iterations 5\n",
      "training # 3AQF3RZ558IKY661EY7X3R2A2Q0F6N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632947\n",
      "         Iterations 5\n",
      "training # 3ATPCQ38J8ARLZZZ91GX8HBC3ANYAF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633076\n",
      "         Iterations 5\n",
      "training # 3ATPCQ38J8ARLZZZ91GX8HBC437YAM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632927\n",
      "         Iterations 5\n",
      "training # 3ATTHHXXWAOHRCSNGTM861SMFF9IXF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632749\n",
      "         Iterations 5\n",
      "training # 3AUQQEL7U5TEGS6CCOWKCCV5DS6V0G completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632857\n",
      "         Iterations 5\n",
      "training # 3B837J3LDOWMOU97C6AULLCLNA5RSR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632884\n",
      "         Iterations 5\n",
      "training # 3B837J3LDOWMOU97C6AULLCLNFRSRO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632988\n",
      "         Iterations 5\n",
      "training # 3BC8WZX3V3WANF9UXHAPVB7P1S7RRS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632715\n",
      "         Iterations 5\n",
      "training # 3BC8WZX3V3WANF9UXHAPVB7P1TERR1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632779\n",
      "         Iterations 5\n",
      "training # 3BDCF01OGXU8HIQ36S5NHVRNWKWLYP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632736\n",
      "         Iterations 5\n",
      "training # 3BEFOD78W6TCPTU4HXIV1J252WTM4U completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632879\n",
      "         Iterations 5\n",
      "training # 3BF51CHDTVA9YRBS7ZFGXB4W5CY0HW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632818\n",
      "         Iterations 5\n",
      "training # 3BV8HQ2ZZW1P2FPT3IL5PQRJ5HKA6G completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632825\n",
      "         Iterations 5\n",
      "training # 3BWI6RSP7G9BWSKA2XSJRNH6L9NE73 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632835\n",
      "         Iterations 5\n",
      "training # 3BXQMRHWKZYB6ROJW39DEN0Z2W4MUF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632924\n",
      "         Iterations 5\n",
      "training # 3C44YUNSI1PVASAA2OBGLRQ6LAUPDW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632860\n",
      "         Iterations 5\n",
      "training # 3C5W7UE9CFQ3NVIE18K0YUZ3W23MX1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632843\n",
      "         Iterations 5\n",
      "training # 3C5W7UE9CFQ3NVIE18K0YUZ3W9YMXA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632921\n",
      "         Iterations 5\n",
      "training # 3C5W7UE9CFQ3NVIE18K0YUZ3WNMMXQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632944\n",
      "         Iterations 5\n",
      "training # 3C5W7UE9CFQ3NVIE18K0YUZ3WO6XMN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632776\n",
      "         Iterations 5\n",
      "training # 3C6FJU71TQTB08DXF6XO8IN6AJVYUJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632916\n",
      "         Iterations 5\n",
      "training # 3C6FJU71TQTB08DXF6XO8IN6BMBYU6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632782\n",
      "         Iterations 5\n",
      "training # 3C8HJ7UOP7USSQIT2Q8LVFFE2LDMZA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632949\n",
      "         Iterations 5\n",
      "training # 3C8HJ7UOP7USSQIT2Q8LVFFE4OBMZG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632833\n",
      "         Iterations 5\n",
      "training # 3CFVK00FWLL6YYGX09AVY47UYI9L6C completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633134\n",
      "         Iterations 5\n",
      "training # 3CFVK00FWLL6YYGX09AVY47UZDH6LW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632988\n",
      "         Iterations 5\n",
      "training # 3CN4LGXD5XOCJAJI0066VEPCC2BY4T completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632980\n",
      "         Iterations 5\n",
      "training # 3COPXFW7XBC3OYGKU5X3P4LW5JMPK4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633074\n",
      "         Iterations 5\n",
      "training # 3CP1TO84PT14E8UBLKILR2ULXJN520 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632925\n",
      "         Iterations 5\n",
      "training # 3CP1TO84PT14E8UBLKILR2ULXJT526 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633007\n",
      "         Iterations 5\n",
      "training # 3CP1TO84PT14E8UBLKILR2ULXJY258 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632967\n",
      "         Iterations 5\n",
      "training # 3CPLWGV3MOZJ4HLGATTMV62LS60N9T completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632843\n",
      "         Iterations 5\n",
      "training # 3CPLWGV3MOZJ4HLGATTMV62LTEI9NE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632937\n",
      "         Iterations 5\n",
      "training # 3CTOC39K37QJ7862GY3AO3UYOW7J79 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632996\n",
      "         Iterations 5\n",
      "training # 3CTOC39K37QJ7862GY3AO3UYQ0A7JA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632931\n",
      "         Iterations 5\n",
      "training # 3D3VGR7TA0FI4DOSMR9TDD49VG9R3A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632881\n",
      "         Iterations 5\n",
      "training # 3D3VGR7TA0FI4DOSMR9TDD49VY5R36 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632979\n",
      "         Iterations 5\n",
      "training # 3D4CH1LGEATDUP4UNPGR5MTOTQZ9GM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632845\n",
      "         Iterations 5\n",
      "training # 3D8YOU6S9EK9HO3R9N2WPR3DC5UU60 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632870\n",
      "         Iterations 5\n",
      "training # 3DEL4X4EL6L3HC7SKB8BSPMA5CVYXH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633062\n",
      "         Iterations 5\n",
      "training # 3DHE4R9OCWB2U5JV2G1CVZLALNA2GC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632985\n",
      "         Iterations 5\n",
      "training # 3DHE4R9OCWB2U5JV2G1CVZLALO5G2N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633039\n",
      "         Iterations 5\n",
      "training # 3DHE4R9OCWB2U5JV2G1CVZLAN7T2G1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632788\n",
      "         Iterations 5\n",
      "training # 3DI28L7YXAEXL658DHBAQDQTIDE1E0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632968\n",
      "         Iterations 5\n",
      "training # 3DIP6YHAPCSFW6PTC2KP5ND1WKT8E2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632913\n",
      "         Iterations 5\n",
      "training # 3DPNQGW4LLFA0Q9CUHBECN5JE18468 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632785\n",
      "         Iterations 5\n",
      "training # 3DQQ64TANGLUJYA1JJG6DFFRSRXWPB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632981\n",
      "         Iterations 5\n",
      "training # 3DY46V3X3PIWD5DY33KJP9XXHAF550 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633041\n",
      "         Iterations 5\n",
      "training # 3DY4FPOOA1O2GMQB61FZW8WSMN6VRP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632997\n",
      "         Iterations 5\n",
      "training # 3E1QT0TDFP9RCBRF8LAGQ2BTPE28IG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633108\n",
      "         Iterations 5\n",
      "training # 3E337GFOL98YJR8OOZZWNNO8XGSGN5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632847\n",
      "         Iterations 5\n",
      "training # 3E47SOBEYQWTOEHSPXQLSO7CCRBCIJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632808\n",
      "         Iterations 5\n",
      "training # 3E47SOBEYQWTOEHSPXQLSO7CF6KCIP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633076\n",
      "         Iterations 5\n",
      "training # 3E4GGUZ1T8R7WRFES7MRTRD3UAF2KH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632944\n",
      "         Iterations 5\n",
      "training # 3E4GGUZ1T8R7WRFES7MRTRD3UHZ2KF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632970\n",
      "         Iterations 5\n",
      "training # 3E7TUJ2EGCMAI5U3LZFJZ1QRFAF9DV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632900\n",
      "         Iterations 5\n",
      "training # 3E7TUJ2EGCMAI5U3LZFJZ1QRFAFD9Z completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632881\n",
      "         Iterations 5\n",
      "training # 3E7TUJ2EGCMAI5U3LZFJZ1QRGPR9D2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633026\n",
      "         Iterations 5\n",
      "training # 3EF8EXOTT1V5WMR0RIM1NT3LMBRJ1Z completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633109\n",
      "         Iterations 5\n",
      "training # 3EF8EXOTT1V5WMR0RIM1NT3LN3MJ1F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633141\n",
      "         Iterations 5\n",
      "training # 3EFVCAY5L39N7MBLQ3VG23QT0OUJ8U completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632917\n",
      "         Iterations 5\n",
      "training # 3EFVCAY5L39N7MBLQ3VG23QT1KG8JY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632967\n",
      "         Iterations 5\n",
      "training # 3EFVCAY5L39N7MBLQ3VG23QT1QQJ8V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632989\n",
      "         Iterations 5\n",
      "training # 3EFVCAY5L39N7MBLQ3VG23QTZFI8JO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632986\n",
      "         Iterations 5\n",
      "training # 3EG49X351UC1YSXMESDJ9Y2H4MZ6XO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632994\n",
      "         Iterations 5\n",
      "training # 3EG49X351UC1YSXMESDJ9Y2H6I8X6I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632804\n",
      "         Iterations 5\n",
      "training # 3EICBYG644WPJP1Y7FBL4PMCPACJCM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632749\n",
      "         Iterations 5\n",
      "training # 3EICBYG644WPJP1Y7FBL4PMCQFFJC0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632929\n",
      "         Iterations 5\n",
      "training # 3EICBYG644WPJP1Y7FBL4PMCR38CJZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632902\n",
      "         Iterations 5\n",
      "training # 3EICBYG644WPJP1Y7FBL4PMCRZ3CJM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632994\n",
      "         Iterations 5\n",
      "training # 3EJJQNKU9R5XYLVR1CYVH75JCJ9RHT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632759\n",
      "         Iterations 5\n",
      "training # 3EJJQNKU9R5XYLVR1CYVH75JEF9HRD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632874\n",
      "         Iterations 5\n",
      "training # 3EKVH9QMEY4ZIL940Q04PEID87V2DR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 3EKVH9QMEY4ZIL940Q04PEID9462DX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632847\n",
      "         Iterations 5\n",
      "training # 3EO896NRAWV65639T16BTZMGFI2TJF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632924\n",
      "         Iterations 5\n",
      "training # 3EQHHY4HQSSUT22IKZ3AT6OM72ZG51 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632858\n",
      "         Iterations 5\n",
      "training # 3EQHHY4HQSSUT22IKZ3AT6OM7K45GV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633173\n",
      "         Iterations 5\n",
      "training # 3ERMJ6L4DYS98GCNJVG24VMFTQT7MT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 3F0BG9B9MPN92X112Y4DYQ9M206Y79 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632850\n",
      "         Iterations 5\n",
      "training # 3F0BG9B9MPN92X112Y4DYQ9M3CMY7E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632861\n",
      "         Iterations 5\n",
      "training # 3F0BG9B9MPN92X112Y4DYQ9M3LX7YG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632979\n",
      "         Iterations 5\n",
      "training # 3F6HPJW4JD0YRR9VHL5UH27YFD4W2D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632722\n",
      "         Iterations 5\n",
      "training # 3F6HPJW4JD0YRR9VHL5UH27YG54W2Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633082\n",
      "         Iterations 5\n",
      "training # 3F6HPJW4JD0YRR9VHL5UH27YHGYW2F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632904\n",
      "         Iterations 5\n",
      "training # 3FDJT1UU748ZVOY1AQOPRYGFCFC5KF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632961\n",
      "         Iterations 5\n",
      "training # 3FDJT1UU748ZVOY1AQOPRYGFCFZK5H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632831\n",
      "         Iterations 5\n",
      "training # 3FDJT1UU748ZVOY1AQOPRYGFE0KK5A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632905\n",
      "         Iterations 5\n",
      "training # 3FDJT1UU748ZVOY1AQOPRYGFE325KJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632919\n",
      "         Iterations 5\n",
      "training # 3FE7TXL1LINT7UD95C6OPDPCT0CQ26 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633071\n",
      "         Iterations 5\n",
      "training # 3FFJ6VRIL1O9UMMCDHX1XN5B5O50IF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632826\n",
      "         Iterations 5\n",
      "training # 3FIUS151DV2S9ZR21VM1X3FBXG8GGO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632848\n",
      "         Iterations 5\n",
      "training # 3FIUS151DV2S9ZR21VM1X3FBXSQGGU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632830\n",
      "         Iterations 5\n",
      "training # 3FK0YFF9PZGU9T7SFLK9X5LV692VVW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632919\n",
      "         Iterations 5\n",
      "training # 3FPRZHYEPY7AXK59VBE3EATCG183VV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632988\n",
      "         Iterations 5\n",
      "training # 3FPRZHYEPY7AXK59VBE3EATCGCQ3VZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632912\n",
      "         Iterations 5\n",
      "training # 3FTOP5WARFO5PX6IVZI19OKBGIL0JA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632907\n",
      "         Iterations 5\n",
      "training # 3FTOP5WARFO5PX6IVZI19OKBI7UJ0I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632749\n",
      "         Iterations 5\n",
      "training # 3FTYUGLFSULRHISRI922NLLPS9ED5F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632971\n",
      "         Iterations 5\n",
      "training # 3FUI0JHJPXYQLB3QB18XVF1TP1233P completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632913\n",
      "         Iterations 5\n",
      "training # 3G2UL9A02DE7JDRVWF9LFZPT4BU675 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632900\n",
      "         Iterations 5\n",
      "training # 3G2UL9A02DE7JDRVWF9LFZPT4UQ673 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632857\n",
      "         Iterations 5\n",
      "training # 3G5F9DBFOPXPRSC8AW35I4UMZ5GHV4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632941\n",
      "         Iterations 5\n",
      "training # 3GA6AFUKOOO5FJAPQMXZZ92366FH33 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632996\n",
      "         Iterations 5\n",
      "training # 3GA6AFUKOOO5FJAPQMXZZ9238LMH36 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632919\n",
      "         Iterations 5\n",
      "training # 3GD6L00D3SXVXUXLUFZT3LV2P6O1MO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632980\n",
      "         Iterations 5\n",
      "training # 3GFK2QRXX9HQQOSIZ47SF9AA0U25W9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632684\n",
      "         Iterations 5\n",
      "training # 3GFK2QRXX9HQQOSIZ47SF9AAZM3W5K completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632749\n",
      "         Iterations 5\n",
      "training # 3GGAI1SQEVYFKX7JACODKHETV51MCR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632844\n",
      "         Iterations 5\n",
      "training # 3GGAI1SQEVYFKX7JACODKHETVWTCMR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633110\n",
      "         Iterations 5\n",
      "training # 3GLB5JMZFXVPXFHBZ5LTRICEK63DGM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632790\n",
      "         Iterations 5\n",
      "training # 3GLB5JMZFXVPXFHBZ5LTRICEKJWDG5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632998\n",
      "         Iterations 5\n",
      "training # 3GNA64GUZE4L6RWWNV8MNKSODAW5QF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632839\n",
      "         Iterations 5\n",
      "training # 3GU1KF0O4I12VVCQOSKAQ126HZLPBB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632626\n",
      "         Iterations 5\n",
      "training # 3GU1KF0O4I12VVCQOSKAQ126IW1BP8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632893\n",
      "         Iterations 5\n",
      "training # 3H8DHMCCW9BUZ1DUPW68PA47Q4RDKT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632948\n",
      "         Iterations 5\n",
      "training # 3H8DHMCCW9BUZ1DUPW68PA47RHIDKB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632897\n",
      "         Iterations 5\n",
      "training # 3HL8HNGX4517GP8ZC5A9N1TCQEMF9K completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632952\n",
      "         Iterations 5\n",
      "training # 3HMIGG0U4L6D2B6KC3WJCQ5HE428Y1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632763\n",
      "         Iterations 5\n",
      "training # 3HMVI3QICJSVRBMZDIN4XGI9ZM31YS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633012\n",
      "         Iterations 5\n",
      "training # 3HPZF4IVNMTFEEWXTFCOEC103JPYCA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632978\n",
      "         Iterations 5\n",
      "training # 3HPZF4IVNMTFEEWXTFCOEC103PNCYY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632947\n",
      "         Iterations 5\n",
      "training # 3HPZF4IVNMTFEEWXTFCOEC104G1YCH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632835\n",
      "         Iterations 5\n",
      "training # 3HRMW88U16QVQ5C3YWVTPGCSLKHM0I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633005\n",
      "         Iterations 5\n",
      "training # 3HRMW88U16QVQ5C3YWVTPGCSM780MY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632896\n",
      "         Iterations 5\n",
      "training # 3HRMW88U16QVQ5C3YWVTPGCSMY1M0V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632865\n",
      "         Iterations 5\n",
      "training # 3HSYG7LRBJY2D7J4HDSVTNZX951KK9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632998\n",
      "         Iterations 5\n",
      "training # 3HSYG7LRBJY2D7J4HDSVTNZXBASKKC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632760\n",
      "         Iterations 5\n",
      "training # 3HUTX6F6VUNQMI0TQZEK08UCFNOO23 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633107\n",
      "         Iterations 5\n",
      "training # 3HVVDCPGTESW0VY8F17E3M14SMLYTO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632979\n",
      "         Iterations 5\n",
      "training # 3HWRJOOET52XFQ42Q0QUMED27A5SEI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 3HWRJOOET52XFQ42Q0QUMED286WESO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633013\n",
      "         Iterations 5\n",
      "training # 3HWRJOOET52XFQ42Q0QUMED28LBSEB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633068\n",
      "         Iterations 5\n",
      "training # 3I33IC7ZWF21KE6SGG92ZDA7PEBA2W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632976\n",
      "         Iterations 5\n",
      "training # 3I3WADAZ9Q4ILFJG8IGIYFXOYKB5OQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632894\n",
      "         Iterations 5\n",
      "training # 3I7DHKZYGN0OF26N9FXSBLOA6NY5FQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632941\n",
      "         Iterations 5\n",
      "training # 3IAEQB9FMEKLU17BEAPBDLY2E7MDW4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632878\n",
      "         Iterations 5\n",
      "training # 3IAS3U3I0FG63OBKMU9YUOUD76BB2R completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632995\n",
      "         Iterations 5\n",
      "training # 3IHR8NYAM71IAWRH9DANINW08SXP45 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632969\n",
      "         Iterations 5\n",
      "training # 3IJXV6UZ1XJXUG6B7UGGHJ6YD1TIRT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 3IO1LGZLK9XBJRWE6K1RTZLOEIP68Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633000\n",
      "         Iterations 5\n",
      "training # 3IO1LGZLK9XBJRWE6K1RTZLOF3G68O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632837\n",
      "         Iterations 5\n",
      "training # 3IO1LGZLK9XBJRWE6K1RTZLOFE068U completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633007\n",
      "         Iterations 5\n",
      "training # 3IOEN3P9S7JT8RCT7ZSCEPYG0C516N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 3ITXP059PWJ5Q6QU411LJUQUCI1JSU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632933\n",
      "         Iterations 5\n",
      "training # 3IUZPWIU1O7T87DL6RBYHYTSXK0KWC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632996\n",
      "         Iterations 5\n",
      "training # 3IUZPWIU1O7T87DL6RBYHYTSY2XKWA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632842\n",
      "         Iterations 5\n",
      "training # 3IXQG4FA2TYH38WJ73OD4B2RBHZ9B3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632972\n",
      "         Iterations 5\n",
      "training # 3IXQG4FA2TYH38WJ73OD4B2RCP3B9Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632844\n",
      "         Iterations 5\n",
      "training # 3J2UYBXQQLCT12RBBGOC0KF6W92607 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632817\n",
      "         Iterations 5\n",
      "training # 3J4Q2Z4UTY3FJABGJWVVDK51XSZQWM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632768\n",
      "         Iterations 5\n",
      "training # 3JAOYWH7VI4TGHIVYGD7IEYWOJHL9N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632848\n",
      "         Iterations 5\n",
      "training # 3JC6VJ2SABJTJBPFYZB0XKDJ72SA5D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632876\n",
      "         Iterations 5\n",
      "training # 3JC6VJ2SABJTJBPFYZB0XKDJ9NLA5E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632942\n",
      "         Iterations 5\n",
      "training # 3JCG6DTRV3QAZDFU7NWPLVNF8C5QQA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632884\n",
      "         Iterations 5\n",
      "training # 3JMSRU9HQIUD7IL6KVVZX1X97ANEVQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632945\n",
      "         Iterations 5\n",
      "training # 3JMSRU9HQIUD7IL6KVVZX1X97APVE9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632841\n",
      "         Iterations 5\n",
      "training # 3JMSRU9HQIUD7IL6KVVZX1X97TSEVX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632946\n",
      "         Iterations 5\n",
      "training # 3JNQLM5FT4MIGXXWD7YS8RQIJ9T2LR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633044\n",
      "         Iterations 5\n",
      "training # 3JPSL1DZ5SZX90VL2Z7MR1D50AUANH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632861\n",
      "         Iterations 5\n",
      "training # 3JRJSWSMQHLTV9JN0LPTE65QENN3E3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632771\n",
      "         Iterations 5\n",
      "training # 3JRJSWSMQHLTV9JN0LPTE65QFU63E1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632990\n",
      "         Iterations 5\n",
      "training # 3JRJSWSMQHLTV9JN0LPTE65QGGME31 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632891\n",
      "         Iterations 5\n",
      "training # 3K4J6M3CXETRZ8EZFVUR1H48ZGZAG0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632789\n",
      "         Iterations 5\n",
      "training # 3K5TEWLKGVBPNNNSGELQIGV1YUBVIE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633067\n",
      "         Iterations 5\n",
      "training # 3K772S5NP8B8PHQMF6EVI060X2JEHJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632930\n",
      "         Iterations 5\n",
      "training # 3KAKFY4PGU25BEL9W4FKZL3I6E1I3U completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632874\n",
      "         Iterations 5\n",
      "training # 3KAKFY4PGU25BEL9W4FKZL3I8KM3IE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633134\n",
      "         Iterations 5\n",
      "training # 3KAKFY4PGU25BEL9W4FKZL3I9SII36 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632962\n",
      "         Iterations 5\n",
      "training # 3KB8R4ZV1E7WIIJRL9UNWSOEGTWBGX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632665\n",
      "         Iterations 5\n",
      "training # 3KB8R4ZV1E7WIIJRL9UNWSOEHYKBGW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632577\n",
      "         Iterations 5\n",
      "training # 3KGTPGBS6XLLZNKQMLQTZEM1UX2U2L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632896\n",
      "         Iterations 5\n",
      "training # 3KGTPGBS6XLLZNKQMLQTZEM1VR4U2C completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632949\n",
      "         Iterations 5\n",
      "training # 3KGTPGBS6XLLZNKQMLQTZEM1W6LU2O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632995\n",
      "         Iterations 5\n",
      "training # 3KJYX6QCM9BLIY7YYW6QUHA1CE1VJ2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632947\n",
      "         Iterations 5\n",
      "training # 3KKG4CDWKIYXI9BASOEQWXWL3UT49F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632896\n",
      "         Iterations 5\n",
      "training # 3KKG4CDWKIYXI9BASOEQWXWL3UX94O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632959\n",
      "         Iterations 5\n",
      "training # 3KV0LJBBH2LJQZW2S9E89CDFV6ZMRS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632769\n",
      "         Iterations 5\n",
      "training # 3KV0LJBBH2LJQZW2S9E89CDFVD6RMI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632897\n",
      "         Iterations 5\n",
      "training # 3KWTYT08703AFUGJVQ0Q6YTU1RDL5I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632848\n",
      "         Iterations 5\n",
      "training # 3KWTYT08703AFUGJVQ0Q6YTU2NY5LG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632883\n",
      "         Iterations 5\n",
      "training # 3KWTYT08703AFUGJVQ0Q6YTU3JQL5H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 3KYQYYSHYV7DPSY9NOY1WRLG90LDOE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632865\n",
      "         Iterations 5\n",
      "training # 3KYQYYSHYV7DPSY9NOY1WRLGAPVDO3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632891\n",
      "         Iterations 5\n",
      "training # 3L4D84MILZSG0XCET7PMFGJS4VJHJJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632940\n",
      "         Iterations 5\n",
      "training # 3L4PIM1GQTGJKGLGBC2J370M2BBRY9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632840\n",
      "         Iterations 5\n",
      "training # 3L4PIM1GQTGJKGLGBC2J370M3K2RYJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632901\n",
      "         Iterations 5\n",
      "training # 3L4PIM1GQTGJKGLGBC2J370M3KRYRF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632911\n",
      "         Iterations 5\n",
      "training # 3L6L49WXW0XEHM9YPY19KHRJFSW45W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632835\n",
      "         Iterations 5\n",
      "training # 3L6L49WXW0XEHM9YPY19KHRJFVF45L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633007\n",
      "         Iterations 5\n",
      "training # 3L6L49WXW0XEHM9YPY19KHRJGUN45S completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632954\n",
      "         Iterations 5\n",
      "training # 3L70J4KAZGMONO48D5TJVW1BM7EDAQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632969\n",
      "         Iterations 5\n",
      "training # 3L70J4KAZGMONO48D5TJVW1BMFADA2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632855\n",
      "         Iterations 5\n",
      "training # 3LEIZ60CDJZDL6ZZDH4GQT9U44XZ9H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632874\n",
      "         Iterations 5\n",
      "training # 3LEP4MGT3G0T6Y90JJTFQ7LH22KDBU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632978\n",
      "         Iterations 5\n",
      "training # 3LEP4MGT3G0T6Y90JJTFQ7LH3AJDBA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632853\n",
      "         Iterations 5\n",
      "training # 3LEP4MGT3G0T6Y90JJTFQ7LH3AKBD9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632939\n",
      "         Iterations 5\n",
      "training # 3LEP4MGT3G0T6Y90JJTFQ7LH4XOBDO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632819\n",
      "         Iterations 5\n",
      "training # 3LO69W1SU3D8VR53CMJHAVKJSWCLGE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633155\n",
      "         Iterations 5\n",
      "training # 3LOTDFNYA7ZISLL75GK11L1NOGOFWT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633085\n",
      "         Iterations 5\n",
      "training # 3LPW2N6LKT2DYK3D44SRXLPDGB45UI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 3LQ8PUHQFLSK5MS8BP4M3F4SQSVHIV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 3LQ8PUHQFLSK5MS8BP4M3F4SRE5HIE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632924\n",
      "         Iterations 5\n",
      "training # 3LRKMWOKB5H2LME0S8P1G61GYJO2ZZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632820\n",
      "         Iterations 5\n",
      "training # 3M0NZ3JDP1YUKJXNARRZED4SII9Z55 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633120\n",
      "         Iterations 5\n",
      "training # 3M1CVSFP605ICX8DIRZ3VV8A5YQAQ3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632790\n",
      "         Iterations 5\n",
      "training # 3M23Y66PO27T2BBNKI7WAQLPRQKS6T completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632579\n",
      "         Iterations 5\n",
      "training # 3M81GAB8A0JNV7D5O5ZZQ6SGMP8BQD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632877\n",
      "         Iterations 5\n",
      "training # 3M81GAB8A0JNV7D5O5ZZQ6SGNLWQB9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632722\n",
      "         Iterations 5\n",
      "training # 3MAOD8E57QA95D3ED9Z0B9O31DTXNY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632860\n",
      "         Iterations 5\n",
      "training # 3MAOD8E57QA95D3ED9Z0B9O31SCNX1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633037\n",
      "         Iterations 5\n",
      "training # 3MB8LZR5BFTDXD1M2D4W8NCC01YLKZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632798\n",
      "         Iterations 5\n",
      "training # 3MD9PLUKKIEYA83TERNL8U4E7B5NZT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632993\n",
      "         Iterations 5\n",
      "training # 3MH9DQ757WCBEHSXL0BI1IG25N5GU3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632768\n",
      "         Iterations 5\n",
      "training # 3MH9DQ757WCBEHSXL0BI1IG26Q4UGN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632737\n",
      "         Iterations 5\n",
      "training # 3MHW492WW0DBJ6DJ1TJIA92IGDBVMV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632994\n",
      "         Iterations 5\n",
      "training # 3MMN5BL1WZ4R7XB0HJDCREAZOWY3MR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632958\n",
      "         Iterations 5\n",
      "training # 3MMN5BL1WZ4R7XB0HJDCREAZP0G3MI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632819\n",
      "         Iterations 5\n",
      "training # 3MMN5BL1WZ4R7XB0HJDCREAZPXK3MG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632981\n",
      "         Iterations 5\n",
      "training # 3MRNMEIQW565J7VCAWI94AHMG0IDLB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633114\n",
      "         Iterations 5\n",
      "training # 3MTMREQS4VINWU4ZU0Y9NKQWT5JWAH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632935\n",
      "         Iterations 5\n",
      "training # 3MX2NQ3YC9U5FOX8993EHSOH9W85X2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632932\n",
      "         Iterations 5\n",
      "training # 3MX2NQ3YC9U5FOX8993EHSOH9WAX5W completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632926\n",
      "         Iterations 5\n",
      "training # 3N4BPTXIO8SGG3OGBRWXZA8VD7OKUJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632843\n",
      "         Iterations 5\n",
      "training # 3NC5L260MOMANCC5EUTRKRO1MMHOFZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632965\n",
      "         Iterations 5\n",
      "training # 3NG53N1RLVJJTXEJLG00ZZC598PP8V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633053\n",
      "         Iterations 5\n",
      "training # 3NG53N1RLVJJTXEJLG00ZZC5A0JP8A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633025\n",
      "         Iterations 5\n",
      "training # 3NG53N1RLVJJTXEJLG00ZZC5A3T8P9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632702\n",
      "         Iterations 5\n",
      "training # 3NGI5ARFTT51IXUYMVRLKPPXU8E1PT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632998\n",
      "         Iterations 5\n",
      "training # 3NGI5ARFTT51IXUYMVRLKPPXUABP1I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632873\n",
      "         Iterations 5\n",
      "training # 3NGMS9VZTLIGHZZCFRA1XXFNVIWFF5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632814\n",
      "         Iterations 5\n",
      "training # 3NJM2BJS4W6L504W2SG51L8O0HYPCQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632703\n",
      "         Iterations 5\n",
      "training # 3NKQQ8O39Y582XI6JAAAVXD5SODUDH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632986\n",
      "         Iterations 5\n",
      "training # 3NL0RFNU0FNHZ5U1WL5FM6A1EBV4K9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633053\n",
      "         Iterations 5\n",
      "training # 3NL0RFNU0FNHZ5U1WL5FM6A1ET64KK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632854\n",
      "         Iterations 5\n",
      "training # 3NPI0JQDAO52RH67OEBVQV8SOW8TP9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632917\n",
      "         Iterations 5\n",
      "training # 3NS0A6KXC48S0GM7RNAQIAVH75KZGB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632968\n",
      "         Iterations 5\n",
      "training # 3NVC2EB65QZR1E0E0M1NL9X6WY4Y3N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633132\n",
      "         Iterations 5\n",
      "training # 3NXNZ5RS1AXU1WTTUMCXZ9GVSQW973 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633017\n",
      "         Iterations 5\n",
      "training # 3NXNZ5RS1AXU1WTTUMCXZ9GVUWL976 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633036\n",
      "         Iterations 5\n",
      "training # 3OB0CAO74HP6VM7DF7QPP3YGGBTYHI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633037\n",
      "         Iterations 5\n",
      "training # 3OF2M9AATGOX22IQHEV5G2NADEJKZ0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632773\n",
      "         Iterations 5\n",
      "training # 3OJSZ2ATDSWB09RHRWZGNTBT8ZM75V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632797\n",
      "         Iterations 5\n",
      "training # 3OLF68YTN91LL8I44BO9JW4WY27AFB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632830\n",
      "         Iterations 5\n",
      "training # 3OLF68YTN91LL8I44BO9JW4WYMGFAT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632827\n",
      "         Iterations 5\n",
      "training # 3OLQQLKKNSP4GNLC36HGUDMFAILJE3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632944\n",
      "         Iterations 5\n",
      "training # 3OLQQLKKNSP4GNLC36HGUDMFAPAJE6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632852\n",
      "         Iterations 5\n",
      "training # 3OLQQLKKNSP4GNLC36HGUDMFBRWEJS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632882\n",
      "         Iterations 5\n",
      "training # 3ON104KXQKW8U5OILZOIAH4W11RW4M completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632960\n",
      "         Iterations 5\n",
      "training # 3ON104KXQKW8U5OILZOIAH4W12Z4W4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632882\n",
      "         Iterations 5\n",
      "training # 3ON104KXQKW8U5OILZOIAH4W1UT4WI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633003\n",
      "         Iterations 5\n",
      "training # 3ON104KXQKW8U5OILZOIAH4WZPR4W4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632876\n",
      "         Iterations 5\n",
      "training # 3OONKJ5DKCJKAV0P9S7V11XG7GGBOF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632706\n",
      "         Iterations 5\n",
      "training # 3OONKJ5DKCJKAV0P9S7V11XG7H2OBG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632732\n",
      "         Iterations 5\n",
      "training # 3OS46CRSLFZ9U3SREDC1LD5WQDD6VD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633035\n",
      "         Iterations 5\n",
      "training # 3OS4RQUCR9FQ4INWAPO5E7O2FNYBFI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632919\n",
      "         Iterations 5\n",
      "training # 3OS4RQUCR9FQ4INWAPO5E7O2GJKBFX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632713\n",
      "         Iterations 5\n",
      "training # 3OSWBBLG1EX0J1C1OFLXF4C9N9VXDK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632970\n",
      "         Iterations 5\n",
      "training # 3OVHNO1VE61POWCGPX9ICPSKVVWDZ8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632946\n",
      "         Iterations 5\n",
      "training # 3OVHNO1VE61POWCGPX9ICPSKVWEZDE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633059\n",
      "         Iterations 5\n",
      "training # 3OVHNO1VE61POWCGPX9ICPSKVZKZDQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632809\n",
      "         Iterations 5\n",
      "training # 3OVR4I9USPJ3A8SW9QPCISMADUK4QO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632895\n",
      "         Iterations 5\n",
      "training # 3OWEPKL089CFQYXNVWV2HABFYOX7N3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633020\n",
      "         Iterations 5\n",
      "training # 3OWEPKL089CFQYXNVWV2HABFZ0DN7O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633119\n",
      "         Iterations 5\n",
      "training # 3OWEPKL089CFQYXNVWV2HABFZKF7NE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632738\n",
      "         Iterations 5\n",
      "training # 3OXV7EAXLEQPIUQ8U36V2IDDXS9631 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632973\n",
      "         Iterations 5\n",
      "training # 3OXV7EAXLEQPIUQ8U36V2IDDZS436V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632983\n",
      "         Iterations 5\n",
      "training # 3P1L2B7AD1PWN4M105WPF4TLKEJLOA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632840\n",
      "         Iterations 5\n",
      "training # 3P4MQ7TPPXC0R1BG5N29VHXH1LZBBM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632960\n",
      "         Iterations 5\n",
      "training # 3P4RDNWND56GWSNYZP77FSK72FOJIG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632905\n",
      "         Iterations 5\n",
      "training # 3P59JYT76LK6ZA51MG0JUI0ZBICT28 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633013\n",
      "         Iterations 5\n",
      "training # 3P59JYT76LK6ZA51MG0JUI0ZDL22TF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632591\n",
      "         Iterations 5\n",
      "training # 3PB5A5BD0V69G6G18SI7RQ2IYN2G7I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632926\n",
      "         Iterations 5\n",
      "training # 3PH3VY7DJLXOX2C76SE84DH50PEWZ2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633065\n",
      "         Iterations 5\n",
      "training # 3PH3VY7DJLXOX2C76SE84DH514GWZZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632925\n",
      "         Iterations 5\n",
      "training # 3PH3VY7DJLXOX2C76SE84DH52AUZWT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632975\n",
      "         Iterations 5\n",
      "training # 3PH3VY7DJLXOX2C76SE84DH52Q6WZY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633018\n",
      "         Iterations 5\n",
      "training # 3PIWWX1FJJ6CR374H7S7RTZ7HVAJJT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632951\n",
      "         Iterations 5\n",
      "training # 3PJUZCGDJ6GY1AYC4R43D9CQ5KA98K completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632900\n",
      "         Iterations 5\n",
      "training # 3PMBY0YE2730DDOPL3K8FV89VBKC9I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633156\n",
      "         Iterations 5\n",
      "training # 3PMBY0YE2730DDOPL3K8FV89VRDC97 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633032\n",
      "         Iterations 5\n",
      "training # 3PQ8K71NHXKQPH1WTV2H5VT51TDAAV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632608\n",
      "         Iterations 5\n",
      "training # 3PWWM24LHSYN1QDDJIPO3M4CYDA28S completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633065\n",
      "         Iterations 5\n",
      "training # 3PXX5PX6LXYV8R6OZ92D06DBJ3DBAQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632902\n",
      "         Iterations 5\n",
      "training # 3PZDLQMM0TLPDT3Q0U5T580VO4TC26 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633074\n",
      "         Iterations 5\n",
      "training # 3PZDLQMM0TLPDT3Q0U5T580VP612C9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632921\n",
      "         Iterations 5\n",
      "training # 3Q5C1WP23M1XPNCF2GI7MJKG3BD51H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632817\n",
      "         Iterations 5\n",
      "training # 3Q5C1WP23M1XPNCF2GI7MJKG5WW154 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633141\n",
      "         Iterations 5\n",
      "training # 3Q5ZZ9ZEVOFF0NW011RM1T7OIN058V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632752\n",
      "         Iterations 5\n",
      "training # 3Q5ZZ9ZEVOFF0NW011RM1T7OJ3Y58Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633098\n",
      "         Iterations 5\n",
      "training # 3Q8GYXHFEP2HCQMDID7R3F379POC5Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632832\n",
      "         Iterations 5\n",
      "training # 3QAPZX2QN4D5J18AOEC9A7YUE8W20O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632940\n",
      "         Iterations 5\n",
      "training # 3QAPZX2QN4D5J18AOEC9A7YUEAA206 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632871\n",
      "         Iterations 5\n",
      "training # 3QAPZX2QN4D5J18AOEC9A7YUGUQ02Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632966\n",
      "         Iterations 5\n",
      "training # 3QAVNHZ3EM47L0S0QMR7E99GVXMAL7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632683\n",
      "         Iterations 5\n",
      "training # 3QECW5O0KH1YY7OO4Z2HSP3BXH0T5M completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632876\n",
      "         Iterations 5\n",
      "training # 3QHK8ZVMIMIC4AXSW0R39KTMCJKLBX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632760\n",
      "         Iterations 5\n",
      "training # 3QILPRALQ5VJQC2651N8VA7A9808NO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632988\n",
      "         Iterations 5\n",
      "training # 3QJOXOW4XJRUHVRX63U8A5EWFLQEMV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632785\n",
      "         Iterations 5\n",
      "training # 3QJOXOW4XJRUHVRX63U8A5EWGHEEMC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632847\n",
      "         Iterations 5\n",
      "training # 3QXNC7EIPIVGJLT99NROKU68KDJ90Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632712\n",
      "         Iterations 5\n",
      "training # 3QY7M81QH7MEISCKYJ3MPIUB4177KT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632961\n",
      "         Iterations 5\n",
      "training # 3QY7M81QH7MEISCKYJ3MPIUB5PA7K9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632854\n",
      "         Iterations 5\n",
      "training # 3R2PKQ87NW86X0TJ2MKZVKCO7EUIM5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632902\n",
      "         Iterations 5\n",
      "training # 3R2PKQ87NW86X0TJ2MKZVKCO9KZMIS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632861\n",
      "         Iterations 5\n",
      "training # 3R2UR8A0IAGRNY3QEOZDQYO8QB3XOT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632916\n",
      "         Iterations 5\n",
      "training # 3R2UR8A0IAGRNY3QEOZDQYO8R2WXO5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633101\n",
      "         Iterations 5\n",
      "training # 3R6BYFZZP7CXHLQXFLGN34FUYQMFXV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633018\n",
      "         Iterations 5\n",
      "training # 3R6P78PK7KBWE4D8LVL8WMU0L1RTG1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632845\n",
      "         Iterations 5\n",
      "training # 3R8YZBNQ9HI0TVAFBONJL46K4WU7QV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632910\n",
      "         Iterations 5\n",
      "training # 3R9WASFE2ZGMMGQCG3480PV56QKZFC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632860\n",
      "         Iterations 5\n",
      "training # 3R9WASFE2ZGMMGQCG3480PV57NJZF6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632996\n",
      "         Iterations 5\n",
      "training # 3R9WASFE2ZGMMGQCG3480PV57NQFZT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632732\n",
      "         Iterations 5\n",
      "training # 3RANCT1ZVFHFN0KM5EJ407P5QRPBUS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633106\n",
      "         Iterations 5\n",
      "training # 3RGU30DZTA82SBDPK45Z7LROJMEMJ1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632898\n",
      "         Iterations 5\n",
      "training # 3RJSC4XJ10UXIYRX6XE78E160L905H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632949\n",
      "         Iterations 5\n",
      "training # 3RSDURM96AMUBCGBP6IJ4013PRHYEB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632804\n",
      "         Iterations 5\n",
      "training # 3RSDURM96AMUBCGBP6IJ4013PRNEYX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632942\n",
      "         Iterations 5\n",
      "training # 3RSDURM96AMUBCGBP6IJ4013PS6YE2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632960\n",
      "         Iterations 5\n",
      "training # 3RU7GD8VPOT1CHTSZE65GQC6K9GSPV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632959\n",
      "         Iterations 5\n",
      "training # 3RU7GD8VPOT1CHTSZE65GQC6K9SPS4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633025\n",
      "         Iterations 5\n",
      "training # 3RU7GD8VPOT1CHTSZE65GQC6MCXSPK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632941\n",
      "         Iterations 5\n",
      "training # 3RXPCZQMQPBV5K1ZJC1YQGB5VDT1GL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633001\n",
      "         Iterations 5\n",
      "training # 3RYC5T2D73TPB2TFKP60QG7AYERRPE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632856\n",
      "         Iterations 5\n",
      "training # 3S06PH7KSR4ST0R8HM0QKV88GPC1DG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632980\n",
      "         Iterations 5\n",
      "training # 3S06PH7KSR4ST0R8HM0QKV88IQJ1DR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632829\n",
      "         Iterations 5\n",
      "training # 3S0TNUHWKTIA40BTG795Z5VGV4XD8A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633068\n",
      "         Iterations 5\n",
      "training # 3S3AMIZX3U5CG316XJPA1RRZMBCDC7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632974\n",
      "         Iterations 5\n",
      "training # 3S4AW7T80BISJBCJHLHG16NG1L5L4G completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633011\n",
      "         Iterations 5\n",
      "training # 3S4AW7T80BISJBCJHLHG16NG3704L4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633013\n",
      "         Iterations 5\n",
      "training # 3S96KQ6I9M4T2K3HJ5K0Q1R3A2HDT5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632900\n",
      "         Iterations 5\n",
      "training # 3S96KQ6I9M4T2K3HJ5K0Q1R3BNDTDO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632828\n",
      "         Iterations 5\n",
      "training # 3SB4CE2TJVV2LU9P45UVP343277XAT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633009\n",
      "         Iterations 5\n",
      "training # 3SB4CE2TJVV2LU9P45UVP3432M8AX1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633009\n",
      "         Iterations 5\n",
      "training # 3SB5N7Y3O34VYVGHNTXYCBSVPY5G04 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632836\n",
      "         Iterations 5\n",
      "training # 3SB5N7Y3O34VYVGHNTXYCBSVQ070GV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632873\n",
      "         Iterations 5\n",
      "training # 3SBEHTYCWN36RHIXLP8APFZVHK1YIX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632852\n",
      "         Iterations 5\n",
      "training # 3SBEHTYCWN36RHIXLP8APFZVHL2IYK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632959\n",
      "         Iterations 5\n",
      "training # 3SBEHTYCWN36RHIXLP8APFZVHZRYIH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632903\n",
      "         Iterations 5\n",
      "training # 3SITXWYCNV9744EHAJURKEO9K97XB7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632861\n",
      "         Iterations 5\n",
      "training # 3SKEMFQBZ35II6H38OVS3IQ6GGH8KC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632875\n",
      "         Iterations 5\n",
      "training # 3SKRO2GZ71R076XI93MDO83Y29KK1B completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633005\n",
      "         Iterations 5\n",
      "training # 3SLE99ER0NDW9ZEWB1ICHZ4KRSSBZ6 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632984\n",
      "         Iterations 5\n",
      "training # 3SLE99ER0NDW9ZEWB1ICHZ4KSB8ZBD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633091\n",
      "         Iterations 5\n",
      "training # 3SLE99ER0NDW9ZEWB1ICHZ4KTXTBZJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632977\n",
      "         Iterations 5\n",
      "training # 3SNLUL3WO4NR096YWR8YEALA00GUL3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632850\n",
      "         Iterations 5\n",
      "training # 3SNVL38CI4SKU97GP0BX54MP4V6KC8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632987\n",
      "         Iterations 5\n",
      "training # 3SPJ03342132MS2337TA1GEVT3XYJN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633024\n",
      "         Iterations 5\n",
      "training # 3SPJ03342132MS2337TA1GEVU4OJY2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633047\n",
      "         Iterations 5\n",
      "training # 3SPJ03342132MS2337TA1GEVUZJYJ2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633020\n",
      "         Iterations 5\n",
      "training # 3SUWZRL0MYDSSS65JNNRL9HAPL86EA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632724\n",
      "         Iterations 5\n",
      "training # 3T111IHZ5EQ4JFD830A34Q7VV7S9RG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632761\n",
      "         Iterations 5\n",
      "training # 3T3IWE1XG6NNRT7MORQKQ0Y2TRXTQ1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632858\n",
      "         Iterations 5\n",
      "training # 3TAYZSBPLL85KASMXGVTKD4D92OS2E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632922\n",
      "         Iterations 5\n",
      "training # 3TDXMTX3CBU48X8RF6DI6OF2IBY6IX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632821\n",
      "         Iterations 5\n",
      "training # 3TE3O857308TJVS9IRVOU3ZHPOB2RK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632860\n",
      "         Iterations 5\n",
      "training # 3TE3O857308TJVS9IRVOU3ZHPPO2RZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632874\n",
      "         Iterations 5\n",
      "training # 3TOK3KHVJTIX8JXZWBVFWZBKQ3W7OO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633104\n",
      "         Iterations 5\n",
      "training # 3TPZPLC3M0CXS08D9Z548I4UV6L3PB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632972\n",
      "         Iterations 5\n",
      "training # 3TS1AR6UQQE326K6X8CP9526X9Y7F8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632846\n",
      "         Iterations 5\n",
      "training # 3TS1AR6UQQE326K6X8CP9526XHFF7D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632910\n",
      "         Iterations 5\n",
      "training # 3TU5ZICBRD14T9FYLTFPZ42FFGYQ8Z completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632983\n",
      "         Iterations 5\n",
      "training # 3TXD01ZLD4HV21ZDQZ9HSTJZGEOU4F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632984\n",
      "         Iterations 5\n",
      "training # 3TXD01ZLD4HV21ZDQZ9HSTJZGTRU4C completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632992\n",
      "         Iterations 5\n",
      "training # 3TXD01ZLD4HV21ZDQZ9HSTJZHNEU4O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632986\n",
      "         Iterations 5\n",
      "training # 3TXMY6UCAEO65C5B25VU1QYY5P0QCM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632821\n",
      "         Iterations 5\n",
      "training # 3TXWC2NHNZQGKUDLIPA8U0CRGDQ9SQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633040\n",
      "         Iterations 5\n",
      "training # 3TY7ZAOG5FK00HC0DKIDA3KOXIB0KN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632987\n",
      "         Iterations 5\n",
      "training # 3TYCR1GOTCJ8M8082E76V20P424LZY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632875\n",
      "         Iterations 5\n",
      "training # 3TYCR1GOTCJ8M8082E76V20P43SLZO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633004\n",
      "         Iterations 5\n",
      "training # 3U088ZLJVKTRVH6H2Y1GYEEJJMRW0F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632862\n",
      "         Iterations 5\n",
      "training # 3U088ZLJVKTRVH6H2Y1GYEEJK9R0WU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633145\n",
      "         Iterations 5\n",
      "training # 3U0SRXB7CD5P8HH24AT8MR2F014NRY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632842\n",
      "         Iterations 5\n",
      "training # 3U0SRXB7CD5P8HH24AT8MR2F0FMRNC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632868\n",
      "         Iterations 5\n",
      "training # 3U0SRXB7CD5P8HH24AT8MR2F15MRNT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632953\n",
      "         Iterations 5\n",
      "training # 3U4J9857OEBDPP8QS6QTQFBLHZFB7E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632849\n",
      "         Iterations 5\n",
      "training # 3U4J9857OEBDPP8QS6QTQFBLHZHB7G completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632647\n",
      "         Iterations 5\n",
      "training # 3U4J9857OEBDPP8QS6QTQFBLICVB7L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632843\n",
      "         Iterations 5\n",
      "training # 3U84XHCDICDCO0TNWM8P9LYEGRV4ZU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633004\n",
      "         Iterations 5\n",
      "training # 3U84XHCDICDCO0TNWM8P9LYEGVPZ4R completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632881\n",
      "         Iterations 5\n",
      "training # 3U84XHCDICDCO0TNWM8P9LYEIODZ43 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633025\n",
      "         Iterations 5\n",
      "training # 3U8YCDAGXPGMBKAVQP2A6PWXWHW0QU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632831\n",
      "         Iterations 5\n",
      "training # 3U8YCDAGXPGMBKAVQP2A6PWXWNO0QY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632898\n",
      "         Iterations 5\n",
      "training # 3UJ1CZ6IZHPXJ7B9FZXRIK7PTC85SL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632890\n",
      "         Iterations 5\n",
      "training # 3UJ1CZ6IZHPXJ7B9FZXRIK7PVDY5SF completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632942\n",
      "         Iterations 5\n",
      "training # 3UJ1CZ6IZHPXJ7B9FZXRIK7PVIVS59 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632759\n",
      "         Iterations 5\n",
      "training # 3UN61F00HWPLISBW0AXMSA2T78QR5G completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632950\n",
      "         Iterations 5\n",
      "training # 3UN61F00HWPLISBW0AXMSA2T96QR5E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632838\n",
      "         Iterations 5\n",
      "training # 3UN61F00HWPLISBW0AXMSA2T9C35RH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632814\n",
      "         Iterations 5\n",
      "training # 3VA45EW49NNJXXIX7VE6VPK7LCYO1Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632890\n",
      "         Iterations 5\n",
      "training # 3VAR3R6G1P118X2I6GNLAZ7F0EU8OL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633062\n",
      "         Iterations 5\n",
      "training # 3VAR3R6G1P118X2I6GNLAZ7FYDLO8O completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632895\n",
      "         Iterations 5\n",
      "training # 3VD82FOHKQO3K0SVNS3QCL3YO3JOC5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632811\n",
      "         Iterations 5\n",
      "training # 3VD82FOHKQO3K0SVNS3QCL3YQ5BOC3 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633077\n",
      "         Iterations 5\n",
      "training # 3VD82FOHKQO3K0SVNS3QCL3YQMNOCD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632872\n",
      "         Iterations 5\n",
      "training # 3VE8AYVF8MX72KPP7D4VN5Y18578FN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632843\n",
      "         Iterations 5\n",
      "training # 3VE8AYVF8MX72KPP7D4VN5Y18EWF81 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632854\n",
      "         Iterations 5\n",
      "training # 3VHHR074H3HP2YU2JJFN4I7QUXZ7LC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632860\n",
      "         Iterations 5\n",
      "training # 3VNL7UK1XFJQ04HDABFQE1UOLUYFTC completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632911\n",
      "         Iterations 5\n",
      "training # 3VNL7UK1XFJQ04HDABFQE1UOMS4TFT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632844\n",
      "         Iterations 5\n",
      "training # 3VSOLARPKB9C0DS6SA97MS4FNPO93E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632926\n",
      "         Iterations 5\n",
      "training # 3VSOLARPKB9C0DS6SA97MS4FOXQ39R completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632739\n",
      "         Iterations 5\n",
      "training # 3VW6495TLJ0SHHX2P7UDB3TJ7IZYYX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633007\n",
      "         Iterations 5\n",
      "training # 3VZLGYJEYLA3M2HXGXAU6WVCA36XZ7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632892\n",
      "         Iterations 5\n",
      "training # 3VZLGYJEYLA3M2HXGXAU6WVCC0UZXT completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632954\n",
      "         Iterations 5\n",
      "training # 3W2LOLRXLBFO0BWZ7X1SUZLB5F6KRE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633089\n",
      "         Iterations 5\n",
      "training # 3W2LOLRXLBFO0BWZ7X1SUZLB68UKRP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632803\n",
      "         Iterations 5\n",
      "training # 3W8CV64QJ2ZRULZ57VY9QM5P8439H4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632699\n",
      "         Iterations 5\n",
      "training # 3W8CV64QJ2ZRULZ57VY9QM5P8TUH9H completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633086\n",
      "         Iterations 5\n",
      "training # 3WAKVUDHUWGSLOHWSX7OV5396KMU7E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633071\n",
      "         Iterations 5\n",
      "training # 3WETL7AQWT8TZQQUPKWQACZD12E53A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632907\n",
      "         Iterations 5\n",
      "training # 3WETL7AQWT8TZQQUPKWQACZD3XZ53N completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633132\n",
      "         Iterations 5\n",
      "training # 3WEV0KO0OMSSNKQ2U5FAGWVH7Y4DSA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632888\n",
      "         Iterations 5\n",
      "training # 3WJ1OXY92AGC6T8HWXI394NABPO8A4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633015\n",
      "         Iterations 5\n",
      "training # 3WJEQKOXA82UVTOWXC9OUU02WAUA1F completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632831\n",
      "         Iterations 5\n",
      "training # 3WJEQKOXA82UVTOWXC9OUU02XIAA1C completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632924\n",
      "         Iterations 5\n",
      "training # 3WJEQKOXA82UVTOWXC9OUU02XSM1AZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632871\n",
      "         Iterations 5\n",
      "training # 3WJEQKOXA82UVTOWXC9OUU02Y0MA1P completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633086\n",
      "         Iterations 5\n",
      "training # 3WLEIWSYHOHGU1E6MMJUGZXB2072HN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632876\n",
      "         Iterations 5\n",
      "training # 3WMINLGALB3EIWYUD9Y8BQJTZNPAC4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633005\n",
      "         Iterations 5\n",
      "training # 3WMOAN2SRBXH1OYJDUYINORILJGVNM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632861\n",
      "         Iterations 5\n",
      "training # 3WOKGM4L71GJQ8XFBCA6HK1XGKU0O9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632968\n",
      "         Iterations 5\n",
      "training # 3WOKGM4L71GJQ8XFBCA6HK1XHH4O02 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632932\n",
      "         Iterations 5\n",
      "training # 3WQQ9FUS6AUHP3D92BIZ4F7GT1NB84 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632856\n",
      "         Iterations 5\n",
      "training # 3WR9XG3T63BT4QNHDRG6I15F83M47I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632922\n",
      "         Iterations 5\n",
      "training # 3WRFBPLXRAOXPFW0TKSC4TZZUJLN3J completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632971\n",
      "         Iterations 5\n",
      "training # 3WS1NTTKEYCPKVKMC9RGUQSJNIYF0U completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633136\n",
      "         Iterations 5\n",
      "training # 3WS1NTTKEYCPKVKMC9RGUQSJP090FS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633016\n",
      "         Iterations 5\n",
      "training # 3WYGZ5XF3WF01QWCMM1XK9Q7Q2VSKL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632873\n",
      "         Iterations 5\n",
      "training # 3WYP994K17RQYXNWJOZLSC9Q6PEY61 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632939\n",
      "         Iterations 5\n",
      "training # 3X0H8UUIT1ORWQQTB0K08KK2DDBWS0 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632967\n",
      "         Iterations 5\n",
      "training # 3X1FV8S5JXRBRWHXQQLNX4ILJUKVGD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633066\n",
      "         Iterations 5\n",
      "training # 3X3OR7WPZZ0T2CZLTO7TII3L45E8LK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632900\n",
      "         Iterations 5\n",
      "training # 3X3OR7WPZZ0T2CZLTO7TII3L4DZL8Y completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632974\n",
      "         Iterations 5\n",
      "training # 3X3OR7WPZZ0T2CZLTO7TII3L5TXL8T completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632965\n",
      "         Iterations 5\n",
      "training # 3X4JMASXCM9Z7E86775KB01YAZT0BG completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633080\n",
      "         Iterations 5\n",
      "training # 3X4MXAO0BGOFVBQGWBKVIAF6TW6WRY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632944\n",
      "         Iterations 5\n",
      "training # 3X65QVEQI0NVEFPYA0NYK4Z4V1MCLS completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632959\n",
      "         Iterations 5\n",
      "training # 3X65QVEQI0NVEFPYA0NYK4Z4VTVCLL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632796\n",
      "         Iterations 5\n",
      "training # 3X66WABAJWIRFNFE6GFHE9Q2T7WG31 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633142\n",
      "         Iterations 5\n",
      "training # 3XC1O3LBOSMC0WR9WMIO9EZ8IQNTLY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632920\n",
      "         Iterations 5\n",
      "training # 3XUHV3NRVKY8TYXT45LSE60NLXEH5S completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 3XUHV3NRVKY8TYXT45LSE60NM2B5HO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632831\n",
      "         Iterations 5\n",
      "training # 3XUHV3NRVKY8TYXT45LSE60NNBLH5T completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632907\n",
      "         Iterations 5\n",
      "training # 3XXU1SWE8MVUO43E1T5OGPHSSZA0AN completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632961\n",
      "         Iterations 5\n",
      "training # 3Y4W8Q93LZK8FC76O0KFRJFO7YKDVU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633019\n",
      "         Iterations 5\n",
      "training # 3Y5140Z9DXGCI3QWU2CRCO6JCJ5IP1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632964\n",
      "         Iterations 5\n",
      "training # 3Y5140Z9DXGCI3QWU2CRCO6JDYDPIB completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632918\n",
      "         Iterations 5\n",
      "training # 3Y54SXRO1LLFJME350AP01VRWEVTU2 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632988\n",
      "         Iterations 5\n",
      "training # 3Y54SXRO1LLFJME350AP01VRWJFUTX completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633021\n",
      "         Iterations 5\n",
      "training # 3Y54SXRO1LLFJME350AP01VRWWIUTQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633056\n",
      "         Iterations 5\n",
      "training # 3Y9N9SS8LYBO335N4QE98ON5FI53D8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632797\n",
      "         Iterations 5\n",
      "training # 3Y9N9SS8LYBO335N4QE98ON5GLL3DV completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632861\n",
      "         Iterations 5\n",
      "training # 3YDGXNSEOZUX44S0NW8CW11AHJB48E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632863\n",
      "         Iterations 5\n",
      "training # 3YDGXNSEOZUX44S0NW8CW11AJJD48I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632880\n",
      "         Iterations 5\n",
      "training # 3YDTZAI2WXGFT48FOBZXHRE23GQ41L completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632958\n",
      "         Iterations 5\n",
      "training # 3YGXWBAF70HZG7ID48OHYNXT9ECC4I completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632878\n",
      "         Iterations 5\n",
      "training # 3YHH42UU5BFBKNUIYKUEP3X3LFNL0B completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632908\n",
      "         Iterations 5\n",
      "training # 3YHH42UU5BFBKNUIYKUEP3X3LFPL0D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632987\n",
      "         Iterations 5\n",
      "training # 3YMU66OBIN869VMDL14JI3RCCJGGHO completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633051\n",
      "         Iterations 5\n",
      "training # 3YOH7BII097GTIDGGH62VWAEP7KVKQ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632881\n",
      "         Iterations 5\n",
      "training # 3YOH7BII097GTIDGGH62VWAER3WVKW completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632810\n",
      "         Iterations 5\n",
      "training # 3YOH7BII097GTIDGGH62VWAER7MKVJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632911\n",
      "         Iterations 5\n",
      "training # 3YT88D1N08YWH9BXW70WC1IVZDE3K5 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632976\n",
      "         Iterations 5\n",
      "training # 3YT88D1N08YWH9BXW70WC1IVZR23KL completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633004\n",
      "         Iterations 5\n",
      "training # 3YW4XOSQKQLEA22U3HQFUVCW3YN1UP completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632712\n",
      "         Iterations 5\n",
      "training # 3YW4XOSQKQLEA22U3HQFUVCW4VKU1A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632865\n",
      "         Iterations 5\n",
      "training # 3YWRV122CSZWL2MF22ZU95Z4I0E8UU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632854\n",
      "         Iterations 5\n",
      "training # 3Z2R0DQ0JHE4ARN4WLBOVW0YACWE2K completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632786\n",
      "         Iterations 5\n",
      "training # 3Z2R0DQ0JHE4ARN4WLBOVW0YASPE29 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632737\n",
      "         Iterations 5\n",
      "training # 3Z3ZLGNNSIUISC9S9CKT8NU4ZDY3QE completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633030\n",
      "         Iterations 5\n",
      "training # 3Z3ZLGNNSIUISC9S9CKT8NU4ZKXQ3E completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632874\n",
      "         Iterations 5\n",
      "training # 3Z4AIRP3C6D6R6WP8M12E2B0Y1XX1D completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632914\n",
      "         Iterations 5\n",
      "training # 3Z4AIRP3C6D6R6WP8M12E2B0YCOX1Q completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632863\n",
      "         Iterations 5\n",
      "training # 3Z4XG4ZF48RO26GA77AHTCY8CIUX8A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632833\n",
      "         Iterations 5\n",
      "training # 3Z4XG4ZF48RO26GA77AHTCY8CIV8XM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633061\n",
      "         Iterations 5\n",
      "training # 3Z7EFSHGN9EQE96NOJQMVYUR29LCX1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632890\n",
      "         Iterations 5\n",
      "training # 3Z7EFSHGN9EQE96NOJQMVYUR2A2CXK completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632960\n",
      "         Iterations 5\n",
      "training # 3Z7ISHFUH0VD71GP8PY2QXEJJM78Z4 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632920\n",
      "         Iterations 5\n",
      "training # 3Z7ISHFUH0VD71GP8PY2QXEJJM7Z8V completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632853\n",
      "         Iterations 5\n",
      "training # 3Z7ISHFUH0VD71GP8PY2QXEJKJ1Z8K completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632892\n",
      "         Iterations 5\n",
      "training # 3Z9WI9EOZZOBBHIWBSPYGVJ5IPGKHR completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632852\n",
      "         Iterations 5\n",
      "training # 3Z9WI9EOZZOBBHIWBSPYGVJ5JYMHKD completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632897\n",
      "         Iterations 5\n",
      "training # 3ZAK8W07I4EE3DHC7YMFGQTMY6I0UM completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632699\n",
      "         Iterations 5\n",
      "training # 3ZAK8W07I4EE3DHC7YMFGQTMZ220UZ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632955\n",
      "         Iterations 5\n",
      "training # 3ZAZR5XV01IFJ462P1E7SJA29DSZC1 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633005\n",
      "         Iterations 5\n",
      "training # 3ZAZR5XV01IFJ462P1E7SJA2ATCZCI completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633020\n",
      "         Iterations 5\n",
      "training # 3ZDAD0O1T1D70Q8YA5LCK8UVQ1PTXH completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633025\n",
      "         Iterations 5\n",
      "training # 3ZGVPD4G6THW5L8DBN9XHTA6Y1XZTU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633014\n",
      "         Iterations 5\n",
      "training # 3ZGVPD4G6THW5L8DBN9XHTA6YVDZTY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632871\n",
      "         Iterations 5\n",
      "training # 3ZOTGHDK5IBJRHHRKETQRQ7GCFKOSY completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.633037\n",
      "         Iterations 5\n",
      "training # 3ZOTGHDK5IBJRHHRKETQRQ7GCPWOSU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632841\n",
      "         Iterations 5\n",
      "training # 3ZPBJO59KP13XBCMJB3BCIOFXL9HDA completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632953\n",
      "         Iterations 5\n",
      "training # 3ZPBJO59KP13XBCMJB3BCIOFZIEDH7 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632988\n",
      "         Iterations 5\n",
      "training # 3ZPPDN2SLVWFAB83HUQ35J8CG1G9EJ completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632866\n",
      "         Iterations 5\n",
      "training # 3ZPPDN2SLVWFAB83HUQ35J8CGOH9EU completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632922\n",
      "         Iterations 5\n",
      "training # 3ZPPDN2SLVWFAB83HUQ35J8CGOKE92 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632760\n",
      "         Iterations 5\n",
      "training # 3ZQIG0FLQEG7OI7X5VP5J749DI5WV8 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632951\n",
      "         Iterations 5\n",
      "training # 3ZR9AIQJUB9FMFNXSSVX3MVS069409 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632982\n",
      "         Iterations 5\n",
      "training # 3ZV9H2YQQD7NC95ELLJZ0CCQMYBW3A completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632688\n",
      "         Iterations 5\n",
      "training # 3ZWFC4W1UU7DKP4L6MAVEMT6W0UFR9 completed\n",
      "prediction completed\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.632852\n",
      "         Iterations 5\n",
      "training # 3ZWFC4W1UU7DKP4L6MAVEMT6Y5OFRF completed\n",
      "prediction completed\n"
     ]
    }
   ],
   "source": [
    "# validate using leave-one-subject-out cross validation\n",
    "for i in IDlist_unique:\n",
    "    loso_cv(i, data, y_test_arr, y_pred_arr)\n",
    "    idt = str(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The AUROC after leave-one-subject-out cross-validation is  0.6764492857017359\n"
     ]
    }
   ],
   "source": [
    "# get auroc using leave-one-subject-our cross validation\n",
    "auroc_crossval = roc_auc_score(y_test_arr, y_pred_arr)  \n",
    "print(\"The AUROC after leave-one-subject-out cross-validation is \", auroc_crossval)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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