15-evaluation/evaluate_poi_identifier.ipynb

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   "source": [
    "# Starter Code for the Lesson 15: Evaluation Metrics"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "Start by copying your trained/tested POI identifier from that which you built in the validation mini-project.\n",
    "\n",
    "This is the second step toward building your POI identifier!\n",
    "\n",
    "Start by loading/formatting the data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "import sys\n",
    "import pickle\n",
    "\n",
    "sys.path.append(\"../utils/\")\n",
    "from feature_format import feature_format, target_feature_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('../17-final-project/final_project_dataset.pkl', 'rb') as f:\n",
    "    data_dict = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add more features to features_list!\n",
    "features_list = [\"poi\", \"salary\"]\n",
    "\n",
    "data = feature_format(data_dict, features_list)\n",
    "labels, features = target_feature_split(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ↓↓↓ Your Code Goes Here ↓↓↓"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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