{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import gc\n",
    "\n",
    "sns.set_style(\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = pd.read_parquet('../data/tools.parquet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "inc_tools = [\n",
    "    'prediction-online', \n",
    "    'prediction-offline', \n",
    "    'claude-prediction-online', \n",
    "    'claude-prediction-offline', \n",
    "    'prediction-offline-sme',\n",
    "    'prediction-online-sme',\n",
    "    'prediction-request-rag',\n",
    "    'prediction-request-reasoning',\n",
    "    'prediction-url-cot-claude', \n",
    "    'prediction-request-rag-claude',\n",
    "    'prediction-request-reasoning-claude'\n",
    "]\n",
    "# include only tools that are in inc_tools\n",
    "tools_inc = tools[tools['tool'].isin(inc_tools)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# only include non error requests\n",
    "tools_non_error = tools_inc[tools_inc['error'] != 1]\n",
    "tools_non_error['currentAnswer'].replace('no', 'No', inplace=True)\n",
    "tools_non_error['currentAnswer'].replace('yes', 'Yes', inplace=True)\n",
    "tools_non_error = tools_non_error[tools_non_error['currentAnswer'].isin(['Yes', 'No'])]\n",
    "tools_non_error = tools_non_error[tools_non_error['vote'].isin(['Yes', 'No'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools_non_error['win'] = tools_non_error['currentAnswer'] == tools_non_error['vote']\n",
    "tools_non_error['win'] = tools_non_error['win'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del tools\n",
    "del tools_inc\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>request_id</th>\n",
       "      <th>request_block</th>\n",
       "      <th>prompt_request</th>\n",
       "      <th>tool</th>\n",
       "      <th>nonce</th>\n",
       "      <th>trader_address</th>\n",
       "      <th>deliver_block</th>\n",
       "      <th>error</th>\n",
       "      <th>error_message</th>\n",
       "      <th>prompt_response</th>\n",
       "      <th>...</th>\n",
       "      <th>confidence</th>\n",
       "      <th>info_utility</th>\n",
       "      <th>vote</th>\n",
       "      <th>win_probability</th>\n",
       "      <th>title</th>\n",
       "      <th>currentAnswer</th>\n",
       "      <th>request_time</th>\n",
       "      <th>request_month_year</th>\n",
       "      <th>request_month_year_week</th>\n",
       "      <th>win</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3006386814233319828691780626079673319114537324...</td>\n",
       "      <td>29624577</td>\n",
       "      <td>With the given question \"Will the Bored Ape Ya...</td>\n",
       "      <td>prediction-online</td>\n",
       "      <td>f53a0449-fd88-4b19-af92-419818f83b74</td>\n",
       "      <td>0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490</td>\n",
       "      <td>29624613</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.9</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.60</td>\n",
       "      <td>Will the Bored Ape Yacht Club still be blockin...</td>\n",
       "      <td>No</td>\n",
       "      <td>2023-08-24 16:04:50</td>\n",
       "      <td>2023-08</td>\n",
       "      <td>2023-08-21/2023-08-27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3331123099573261158036411767774642098138230831...</td>\n",
       "      <td>29624616</td>\n",
       "      <td>With the given question \"Will the Xbox 360 sto...</td>\n",
       "      <td>prediction-online</td>\n",
       "      <td>1a5a576c-2430-4e09-a1ec-a8166da356d4</td>\n",
       "      <td>0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490</td>\n",
       "      <td>29625988</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>No</td>\n",
       "      <td>0.80</td>\n",
       "      <td>Will the Xbox 360 store close before 24 August...</td>\n",
       "      <td>No</td>\n",
       "      <td>2023-08-24 16:08:20</td>\n",
       "      <td>2023-08</td>\n",
       "      <td>2023-08-21/2023-08-27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8876870293926357350592315669265884828102242482...</td>\n",
       "      <td>29625975</td>\n",
       "      <td>With the given question \"Will Arctic sea ice r...</td>\n",
       "      <td>prediction-online</td>\n",
       "      <td>74ba8707-a7b7-4979-8845-de7d4400b011</td>\n",
       "      <td>0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490</td>\n",
       "      <td>29626031</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.60</td>\n",
       "      <td>Will Arctic sea ice reach a new lowest level b...</td>\n",
       "      <td>No</td>\n",
       "      <td>2023-08-24 18:05:35</td>\n",
       "      <td>2023-08</td>\n",
       "      <td>2023-08-21/2023-08-27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2909784377514364366708664729310496697567238257...</td>\n",
       "      <td>29626002</td>\n",
       "      <td>With the given question \"Will Amazon have a ne...</td>\n",
       "      <td>prediction-online</td>\n",
       "      <td>41e37a98-b091-46bb-a78a-10865ac20600</td>\n",
       "      <td>0xDF5d21397543Eb0fB47aFc616073cD922E020635</td>\n",
       "      <td>29626020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.65</td>\n",
       "      <td>Will Amazon have a new Senior Vice President o...</td>\n",
       "      <td>No</td>\n",
       "      <td>2023-08-24 18:08:00</td>\n",
       "      <td>2023-08</td>\n",
       "      <td>2023-08-21/2023-08-27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1027551294836394984613821404170252168134524127...</td>\n",
       "      <td>29626041</td>\n",
       "      <td>With the given question \"Will the 'Jalapeño Ga...</td>\n",
       "      <td>prediction-online</td>\n",
       "      <td>c7e9c3c1-dc20-4126-b198-c10bf3257d1b</td>\n",
       "      <td>0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490</td>\n",
       "      <td>29626076</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0.70</td>\n",
       "      <td>Will the 'Jalapeño Gate' controversy be resolv...</td>\n",
       "      <td>No</td>\n",
       "      <td>2023-08-24 18:11:20</td>\n",
       "      <td>2023-08</td>\n",
       "      <td>2023-08-21/2023-08-27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          request_id  request_block  \\\n",
       "0  3006386814233319828691780626079673319114537324...       29624577   \n",
       "1  3331123099573261158036411767774642098138230831...       29624616   \n",
       "4  8876870293926357350592315669265884828102242482...       29625975   \n",
       "5  2909784377514364366708664729310496697567238257...       29626002   \n",
       "6  1027551294836394984613821404170252168134524127...       29626041   \n",
       "\n",
       "                                      prompt_request               tool  \\\n",
       "0  With the given question \"Will the Bored Ape Ya...  prediction-online   \n",
       "1  With the given question \"Will the Xbox 360 sto...  prediction-online   \n",
       "4  With the given question \"Will Arctic sea ice r...  prediction-online   \n",
       "5  With the given question \"Will Amazon have a ne...  prediction-online   \n",
       "6  With the given question \"Will the 'Jalapeño Ga...  prediction-online   \n",
       "\n",
       "                                  nonce  \\\n",
       "0  f53a0449-fd88-4b19-af92-419818f83b74   \n",
       "1  1a5a576c-2430-4e09-a1ec-a8166da356d4   \n",
       "4  74ba8707-a7b7-4979-8845-de7d4400b011   \n",
       "5  41e37a98-b091-46bb-a78a-10865ac20600   \n",
       "6  c7e9c3c1-dc20-4126-b198-c10bf3257d1b   \n",
       "\n",
       "                               trader_address  deliver_block  error  \\\n",
       "0  0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490       29624613    0.0   \n",
       "1  0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490       29625988    0.0   \n",
       "4  0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490       29626031    0.0   \n",
       "5  0xDF5d21397543Eb0fB47aFc616073cD922E020635       29626020    0.0   \n",
       "6  0x44d97681a1d4d86D8Ddb7D960b063E22FD9DB490       29626076    0.0   \n",
       "\n",
       "  error_message prompt_response  ... confidence  info_utility  vote  \\\n",
       "0          None            None  ...        0.8           0.9   Yes   \n",
       "1          None            None  ...        0.7           0.6    No   \n",
       "4          None            None  ...        0.8           0.7   Yes   \n",
       "5          None            None  ...        0.8           0.6   Yes   \n",
       "6          None            None  ...        0.8           0.6   Yes   \n",
       "\n",
       "   win_probability                                              title  \\\n",
       "0             0.60  Will the Bored Ape Yacht Club still be blockin...   \n",
       "1             0.80  Will the Xbox 360 store close before 24 August...   \n",
       "4             0.60  Will Arctic sea ice reach a new lowest level b...   \n",
       "5             0.65  Will Amazon have a new Senior Vice President o...   \n",
       "6             0.70  Will the 'Jalapeño Gate' controversy be resolv...   \n",
       "\n",
       "  currentAnswer         request_time request_month_year  \\\n",
       "0            No  2023-08-24 16:04:50            2023-08   \n",
       "1            No  2023-08-24 16:08:20            2023-08   \n",
       "4            No  2023-08-24 18:05:35            2023-08   \n",
       "5            No  2023-08-24 18:08:00            2023-08   \n",
       "6            No  2023-08-24 18:11:20            2023-08   \n",
       "\n",
       "  request_month_year_week win  \n",
       "0   2023-08-21/2023-08-27   0  \n",
       "1   2023-08-21/2023-08-27   1  \n",
       "4   2023-08-21/2023-08-27   0  \n",
       "5   2023-08-21/2023-08-27   0  \n",
       "6   2023-08-21/2023-08-27   0  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools_non_error.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Confidence analysis per Trader answer type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of confidence on the winning trades')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=tools_non_error[tools_non_error[\"win\"]==1], x=\"confidence\", kde=True)\n",
    "plt.xlabel('Confidence percentage')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of confidence on the winning trades')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "winning_trades = tools_non_error[tools_non_error[\"win\"]==1]\n",
    "non_winning_trades = tools_non_error[tools_non_error[\"win\"]==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of confidence on the NON-winning trades')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=tools_non_error[tools_non_error[\"win\"]==0], x=\"confidence\", kde=True)\n",
    "plt.xlabel('Confidence percentage')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of confidence on the NON-winning trades')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "win\n",
       "1    109540\n",
       "0     91498\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools_non_error.win.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>request_block</th>\n",
       "      <th>deliver_block</th>\n",
       "      <th>error</th>\n",
       "      <th>p_yes</th>\n",
       "      <th>p_no</th>\n",
       "      <th>confidence</th>\n",
       "      <th>info_utility</th>\n",
       "      <th>win_probability</th>\n",
       "      <th>win</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.095400e+05</td>\n",
       "      <td>1.095400e+05</td>\n",
       "      <td>109540.0</td>\n",
       "      <td>109540.000000</td>\n",
       "      <td>109540.000000</td>\n",
       "      <td>109540.000000</td>\n",
       "      <td>109540.000000</td>\n",
       "      <td>109540.000000</td>\n",
       "      <td>109540.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.252190e+07</td>\n",
       "      <td>3.252205e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.453541</td>\n",
       "      <td>0.546459</td>\n",
       "      <td>0.749623</td>\n",
       "      <td>0.643063</td>\n",
       "      <td>0.713424</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.246011e+06</td>\n",
       "      <td>1.245733e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.236433</td>\n",
       "      <td>0.236433</td>\n",
       "      <td>0.116751</td>\n",
       "      <td>0.234643</td>\n",
       "      <td>0.111842</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.902952e+07</td>\n",
       "      <td>2.902953e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.502000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.157338e+07</td>\n",
       "      <td>3.157339e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.300844e+07</td>\n",
       "      <td>3.300848e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.348162e+07</td>\n",
       "      <td>3.348164e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.406412e+07</td>\n",
       "      <td>3.406415e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       request_block  deliver_block     error          p_yes           p_no  \\\n",
       "count   1.095400e+05   1.095400e+05  109540.0  109540.000000  109540.000000   \n",
       "mean    3.252190e+07   3.252205e+07       0.0       0.453541       0.546459   \n",
       "std     1.246011e+06   1.245733e+06       0.0       0.236433       0.236433   \n",
       "min     2.902952e+07   2.902953e+07       0.0       0.000000       0.000000   \n",
       "25%     3.157338e+07   3.157339e+07       0.0       0.300000       0.350000   \n",
       "50%     3.300844e+07   3.300848e+07       0.0       0.400000       0.600000   \n",
       "75%     3.348162e+07   3.348164e+07       0.0       0.650000       0.700000   \n",
       "max     3.406412e+07   3.406415e+07       0.0       1.000000       1.000000   \n",
       "\n",
       "          confidence   info_utility  win_probability       win  \n",
       "count  109540.000000  109540.000000    109540.000000  109540.0  \n",
       "mean        0.749623       0.643063         0.713424       1.0  \n",
       "std         0.116751       0.234643         0.111842       0.0  \n",
       "min         0.000000       0.000000         0.502000       1.0  \n",
       "25%         0.700000       0.500000         0.600000       1.0  \n",
       "50%         0.800000       0.700000         0.700000       1.0  \n",
       "75%         0.800000       0.800000         0.800000       1.0  \n",
       "max         1.000000       1.000000         1.000000       1.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winning_trades.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    109540.000000\n",
       "mean          0.749623\n",
       "std           0.116751\n",
       "min           0.000000\n",
       "25%           0.700000\n",
       "50%           0.800000\n",
       "75%           0.800000\n",
       "max           1.000000\n",
       "Name: confidence, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winning_trades.confidence.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>request_block</th>\n",
       "      <th>deliver_block</th>\n",
       "      <th>error</th>\n",
       "      <th>p_yes</th>\n",
       "      <th>p_no</th>\n",
       "      <th>confidence</th>\n",
       "      <th>info_utility</th>\n",
       "      <th>win_probability</th>\n",
       "      <th>win</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9.149800e+04</td>\n",
       "      <td>9.149800e+04</td>\n",
       "      <td>91498.0</td>\n",
       "      <td>91498.000000</td>\n",
       "      <td>91498.000000</td>\n",
       "      <td>91498.000000</td>\n",
       "      <td>91498.000000</td>\n",
       "      <td>91498.000000</td>\n",
       "      <td>91498.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.233187e+07</td>\n",
       "      <td>3.233206e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.523302</td>\n",
       "      <td>0.476698</td>\n",
       "      <td>0.761938</td>\n",
       "      <td>0.644957</td>\n",
       "      <td>0.695807</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.263300e+06</td>\n",
       "      <td>1.262970e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.219429</td>\n",
       "      <td>0.219429</td>\n",
       "      <td>0.107188</td>\n",
       "      <td>0.218935</td>\n",
       "      <td>0.101741</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.902954e+07</td>\n",
       "      <td>2.902955e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.502000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.140342e+07</td>\n",
       "      <td>3.140344e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.277588e+07</td>\n",
       "      <td>3.277591e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.330261e+07</td>\n",
       "      <td>3.330264e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.406362e+07</td>\n",
       "      <td>3.406364e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       request_block  deliver_block    error         p_yes          p_no  \\\n",
       "count   9.149800e+04   9.149800e+04  91498.0  91498.000000  91498.000000   \n",
       "mean    3.233187e+07   3.233206e+07      0.0      0.523302      0.476698   \n",
       "std     1.263300e+06   1.262970e+06      0.0      0.219429      0.219429   \n",
       "min     2.902954e+07   2.902955e+07      0.0      0.000000      0.000000   \n",
       "25%     3.140342e+07   3.140344e+07      0.0      0.300000      0.300000   \n",
       "50%     3.277588e+07   3.277591e+07      0.0      0.600000      0.400000   \n",
       "75%     3.330261e+07   3.330264e+07      0.0      0.700000      0.700000   \n",
       "max     3.406362e+07   3.406364e+07      0.0      1.000000      1.000000   \n",
       "\n",
       "         confidence  info_utility  win_probability      win  \n",
       "count  91498.000000  91498.000000     91498.000000  91498.0  \n",
       "mean       0.761938      0.644957         0.695807      0.0  \n",
       "std        0.107188      0.218935         0.101741      0.0  \n",
       "min        0.000000      0.000000         0.502000      0.0  \n",
       "25%        0.700000      0.500000         0.600000      0.0  \n",
       "50%        0.800000      0.700000         0.700000      0.0  \n",
       "75%        0.800000      0.800000         0.800000      0.0  \n",
       "max        1.000000      1.000000         1.000000      0.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_winning_trades.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    91498.000000\n",
       "mean         0.761938\n",
       "std          0.107188\n",
       "min          0.000000\n",
       "25%          0.700000\n",
       "50%          0.800000\n",
       "75%          0.800000\n",
       "max          1.000000\n",
       "Name: confidence, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_winning_trades.confidence.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This means on average the non winning trades show a higher confidence."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation between confidence and win_probability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "corr_matrix = tools_non_error[[\"confidence\", \"win_probability\"]].corr().round(2)\n",
    "sns.heatmap(corr_matrix, annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/anGftm67Wuls2bK59uxJKfINv3z5AK1ds0QFBQV6uM0j+vnnLFeEjJvUkCFDNGDAAKs22yqAJOXk5BRpL3xsW0k4f/68srKy9OKLLyoiIkIfffSRxo8fr1WrVqlq1aoljs2h1QGvv/664uPjLQmAJNWsWVMTJkzQvHnzHOkSAMpUTs5lLf7gE7399iuKjopQ585/07PPDNFbc96TJAUHV5O/v7+kqxsA1a9XRwMHjrI8FxxczbI6ALcgJ64OMJlMCgwMtDqKSwL8/PyKfNgXPi78u1jotddeU8OGDfXoo4+qSZMmevnllxUQEKAVK1bY9TYdSgK8vLz0888/F2k/fvz4/5xQAwDuZPQ/47V37wFt+jJJs/9vqia/9Lo+/XS9JOl0Rop6PNJZktS1a3uVLx+g7dvW6nRGiuWY9cZLrgwfpanAcN5RQsHBwTp//rzy8vIsbVlZWfL397fanE+SDh48qEaNGlkee3t7q1GjRsrMzLTrbTq0OqB3794aM2aMBgwYoEaNGskwDB04cECLFy8uMsaBm1Pq1vWuDgEodTk5lzVw0CgNHDSqyHO+pv/eA6VJ+IMl7nPQ4884IzR4oNDQUPn6+iolJUXR0dGSpOTkZIWHh1tNCpSk6tWr68iRI1Ztx44ds2tlgORgEjBs2DBVq1ZNSUlJSkhIkCQ1aNBAL774ojp37uxIlwAAuA8X7PkfEBCguLg4xcfHa9q0aTpz5owSExM1ffrVjaqysrJ02223yd/fXz169NC4cePUpEkTRUZGKikpSZmZmeratatd1/Qy3GSNy5WzR10dAuB2Amq0cnUIgFvKM58u1f5/f7Gn0/qq8NLHJT43JydH8fHx2rhxowIDAzVo0CA99thjkqR77rlH06dPV7du3SRJSUlJSkxM1E8//aTQ0FBNnDhRYWFhdsVW4iRgzpw5GjRokAICAoosdbA1bNgwu4KQSAKA4pAEAMW7VZOAslbi4YCdO3eqX79+CggI0M6dO697nu2e2wAA3HTs3PP/ZlXiJKBmzZqWDTVGjBihe++9V+XKlSu1wAAAcBnuImht3bp1unjx6i5a/fr102+//VZqQQEA4EpGQYHTDndW4kpAeHi4+vXrp9q1a8swDD399NPXrQQsXrzYaQECAIDSUeIkYPbs2fr888/122+/affu3br33nu5ayAA4NbkIcMBJU4CKleurP79+1seF64UAADglkMScH3Dhg3TiRMnlJp69QYctgrvbwwAANyXQ0nAe++9p5kzZ6pSpUpFhgS8vLxIAgAANzeWCF7fe++9p3/+858aNGiQs+MBAMD1PGQ4wKG7CObm5io2NtbZsQAAgDLkUBLQqVMnffjhh3KT2w4AAOBURoHhtMOdOTQccOnSJX3yySdas2aNatasWWS/APYJAADc1Nz8w9tZHEoC6tSpoyeffNLZsQAAgDLk8BLBQpcuXVJ+fr4qVarktKAAAHApN9/u11kcSgIkadGiRVqwYIHOnj0rSapSpYp69erl0G2EAQBwKwwHXN/bb7+tJUuWaOTIkYqMjFRBQYH27t2rOXPmyGQyafDgwc6OEwCAskMScH3Lly/X1KlT1bp1a0tbaGiogoODNXXqVJIAAABuAg6vDqhTp06R9rp16+rcuXM3GhMAAC7lKUvgHdonIDIyUomJiSq4ZuJEfn6+3nvvPTVt2tRpwQEA4BIFhvMON+ZQJWD8+PF69NFHtW3bNoWFhUmSDh48KLPZrAULFjg1QAAAUDocSgLq16+vCRMm6MKFCzp69Kj8/Py0efNmvfXWW2rUqJGzYwQAoGy5+Td4Z3EoCfjggw80a9YsvfDCC4qPj5ckeXt7a/To0Ro3bpx69OjhzBgBAChT7r7dr7M4NCfg/fff1+uvv66uXbta2saOHauZM2dq3rx5TgsOAACUHocqAefPn1etWrWKtNetW9eyeRAAADctKgHXFxUVpdmzZysnJ8fSlpubq7lz5yoyMtJpwQEA4BIFTjzcmEOVgBdffFEDBw5UTEyMZb+AkydPKigoSO+8844z4wMAAKXEoSSgVq1aWrdunb799lsdP35cvr6+qlOnjmJiYuTj4+PsGAEAKFOeMjHQ4RsImUwmPfTQQ86MBQAA90ASAACAh3LzsXxncWhiIAAAuPlRCQAAwAZzAgAA8FQMBwAAgFsZlQAAAGwwHAAAgKdy0XBAbm6uJk+erI0bN8rf318DBw7UwIEDi5zXt29f7dq1q0h7t27dNH369BJfjyQAAAA3MWPGDKWmpmrRokXKzMzU2LFjVaNGDbVt29bqvNmzZ+vKlSuWx/v27dOoUaPUu3dvu65HEgAAgA3DBZWA7OxsJSUlaf78+QoLC1NYWJjS09O1dOnSIknA7bffbvk5Pz9fs2bN0uOPP67w8HC7rsnEQAAAbLngBkJpaWnKy8uzuhFfVFSU9u3bp4KC63e0cuVKXbx4UU888UTJL/b/UQkAAKAUmc1mmc1mqzaTySSTyWTVlpWVpcqVK1u1BwUFKTc3VxcuXFCVKlWK9G0YhhYsWKB+/fqpQoUKdsdGJQAAABtGgfOOhIQERUVFWR0JCQlFrpmTk1MkMSh8bJtEFNq5c6d++ukn9ejRw6H3SSUAAABbTpwTMGTIEA0YMMCqzfbDXpL8/PyKfNgXPvb39y+27w0bNuiBBx6wmiNgD5IAAABsOHNiYHGl/+IEBwfr/PnzysvLk6/v1Y/nrKws+fv7q2LFisW+5ttvv9WwYcMcjo3hAAAA3EBoaKh8fX2VkpJiaUtOTlZ4eLi8vYt+XJ87d04ZGRmKiopy+JokAQAA2HDmnICSCggIUFxcnOLj47V//35t2rRJiYmJ6tevn6SrVYHLly9bzk9PT5efn59q1qzp8PskCQAAwIYrkgBJGj9+vMLCwtS/f39NnjxZw4cPV2xsrCQpJiZG69ats5z7yy+/qGLFivLy8nL4fXoZhuEWGyRfOXvU1SEAbiegRitXhwC4pTzz6VLt/+e/Pui0voI3/9tpfTkbEwMBALBlOP7t+mZCEgAAgA1XbBvsCswJAADAQ1EJAADAhlHAcAAAAB6J4QAAAHBLoxIAAIANg9UBAAB4Jk8ZDiAJAADAhqdMDGROAAAAHopKAAAANtxjQ/3SRxIAAIANhgMAAMAtjUoAAAA2PKUSQBIAAIANT5kTwHAAAAAeikoAAAA2GA4AAMBDecq2wQwHAADgoagEAABgg3sHAADgoQo8ZDiAJAAAABvMCQAAALc0KgEAANhgiSAAAB6KHQMBAMAtjUoAAAA2GA4AAMBDecoSQYYDAADwUFQCAACw4Sn7BJAEAABgg9UBAADglkYlAAAAG54yMZAkAAAAG8wJAADAQzEnAAAAlKnc3FxNmDBB0dHRiomJUWJi4nXPPXTokHr16qWmTZuqU6dO2rFjh93XIwkAAMBGgeHltMMeM2bMUGpqqhYtWqRJkyZpzpw5+uKLL4qc99tvv2ngwIG6++67tXr1arVp00bDhg3TL7/8Ytf13GY4IKBGK1eHALidnMxvXR0C4JFcMScgOztbSUlJmj9/vsLCwhQWFqb09HQtXbpUbdu2tTp31apVKl++vOLj4+Xj46MRI0bo3//+t1JTU/Xggw+W+JpukwQAAODJ0tLSlJeXp8jISEtbVFSU5s6dq4KCAnl7/7d4v2vXLj300EPy8fGxtK1YscLuazIcAACADWcOB5jNZl26dMnqMJvNRa6ZlZWlypUry2QyWdqCgoKUm5urCxcuWJ2bkZGhKlWq6IUXXlDLli3Vo0cPJScn2/0+SQIAALBhOPFISEhQVFSU1ZGQkFDkmjk5OVYJgCTLY9ukITs7W/PmzVO1atU0f/58NWvWTIMGDdJ//vMfu94nwwEAAJSiIUOGaMCAAVZtth/2kuTn51fkw77wsb+/v1W7j4+PQkNDNWLECElS48aNtXXrVn322Wd68sknSxwbSQAAADacuWOgyWQq9kPfVnBwsM6fP6+8vDz5+l79eM7KypK/v78qVqxodW61atVUr149q7Y6derYXQlgOAAAABuG4eW0o6RCQ0Pl6+urlJQUS1tycrLCw8OtJgVK0r333qtDhw5ZtR09elQhISF2vU+SAAAA3EBAQIDi4uIUHx+v/fv3a9OmTUpMTFS/fv0kXa0KXL58WZLUs2dPHTp0SLNnz9aJEyf0f//3f8rIyFCXLl3suiZJAAAANgqceNhj/PjxCgsLU//+/TV58mQNHz5csbGxkqSYmBitW7dOkhQSEqIFCxZo8+bN6tixozZv3qx58+YpODjYrut5GYZ77JDsa7KvhAF4AjYLAopXLqjeH590A7654xGn9fXAT0lO68vZmBgIAICNArf4elz6GA4AAMBDUQkAAMBGgcr+3gGuQBIAAIANw0OSAIYDAADwUFQCAACwYe/SvpsVSQAAADYYDgAAALc0KgEAANhgOAAAAA/lKUkAwwEAAHgoKgEAANjwlImBJAEAANgo8IwcgCQAAABbnrJtMHMCAADwUFQCAACw4SF3EiYJAADAFksEAQDALY1KAAAANgq8PGNiIEkAAAA2PGVOAMMBAAB4KCoBAADY8JSJgSQBAADY8JQdAxkOAADAQ1EJAADAhqdsG0wSAACADU9ZHUASAACADeYEAACAWxqVAAAAbLBEEAAAD+UpcwIYDgAAwENRCQAAwIanTAwkCQAAwIanzAlgOAAAAA9FJQAAABtUAgAA8FCGl/MOe+Tm5mrChAmKjo5WTEyMEhMTr3vu0KFDdc8991gdmzdvtut6VAIAAHATM2bMUGpqqhYtWqTMzEyNHTtWNWrUUNu2bYuce+TIEc2cOVP333+/pa1SpUp2XY8kAAAAG64YDsjOzlZSUpLmz5+vsLAwhYWFKT09XUuXLi2SBJjNZp06dUrh4eGqVq2aw9dkOAAAABsFTjzMZrMuXbpkdZjN5iLXTEtLU15eniIjIy1tUVFR2rdvnwoKrNOSo0ePysvLS3fdddcNvU+SAAAAbBhOPBISEhQVFWV1JCQkFLlmVlaWKleuLJPJZGkLCgpSbm6uLly4YHXu0aNHFRgYqDFjxigmJkbdu3fXv//9b7vfp93DAX369FGHDh30t7/9TVWqVLH7ggAAeJIhQ4ZowIABVm3XftAXysnJKdJe+Ni2cnD06FFdvnxZMTExGjx4sL788ksNHTpUy5YtU3h4eIljszsJaN26tVatWqWpU6eqRYsWat++vWJjY3XbbbfZ2xUAAG7JmTsGmkymYj/0bfn5+RX5sC987O/vb9X+1FNPqW/fvpaJgI0aNdLBgwe1fPlyu5IAu4cDBg4cqOXLl2vDhg26//77tWzZMsXExOipp57S2rVrlZOTY2+XAAC4FWfOCSip4OBgnT9/Xnl5eZa2rKws+fv7q2LFilbnent7F1kJUK9ePf388892XPEGVgeEhITo8ccfV2xsrFasWKGFCxfqm2++Ubly5dSpUyeNGjWK4QIAAEooNDRUvr6+SklJUXR0tCQpOTlZ4eHh8va2/s4+btw4eXl5afr06Za2tLQ0NWzY0K5rOjQx8MSJE0pISFDXrl3Vrl077d+/X88//7y2bdumVatW6dSpUxo8eLAjXQMA4HKuqAQEBAQoLi5O8fHx2r9/vzZt2qTExET169dP0tWqwOXLlyVdHZpfvXq1Pv30U504cUJz5sxRcnKy+vTpY9f7tLsS0LlzZ6Wnpys8PFxxcXFq37691RrFihUrqkePHnrhhRfs7RoAALdguOi648ePV3x8vPr376/AwEANHz5csbGxkqSYmBhNnz5d3bp1U2xsrCZNmqR3331XmZmZatCggRYsWKCaNWvadT0vwzDseq9z585Vhw4d/ufaxN9//12SVKFChRL362sKsScMwCPkZH7r6hAAt1QuqF6p9v9aLfu+Uf8vo08ucVpfzmb3cEBSUlKxKwF+/vlny9aFFSpUsCsBAADAnRR4Oe9wZyUaDvjiiy8smxBkZmbqpZdekp+fn9U5p0+flo+Pj/MjBACgjHEXwWs0b97c8rNhGCpuBKFBgwZ65513nBcZAAAoVSWqBFSpUsWyDCEkJESDBg1SQEBAqQYGAICruGpiYFkrURKwe/duRUZGytfXVy1atFBqaup1z23WrJnTggMAwBUKPCQNKFES0LdvX23dulVVq1ZV3759r3uel5eXfvjhB6cFBwCAK3jKnIASJQFpaWnF/gwAAG5eJUoCMjMzS9xhjRo1HA4GAAB34BmDASVMAlq3bi0vr6uLHYtbGeDl5SXDMBgOAADcEhgOuMZXX31V2nEAAIAyVqIkICSELX0BAJ7D3Xf6c5YSJQGhoaHasmWLqlatqkaNGlmGBorDcAAA4GbHEsFrLFq0SJUqVZIkLV68uFQDAgAAZaNEScC12wYX/pydna2TJ0+qXLlyqlmzZpF7CQAAcLPyjDpACZOAa/3222+aNm2aVq9erby8PEmSyWRSz549NXr0aJlMJqcHCQBAWWJ1wHW88MILOnbsmN5//301btxYhmFo3759mjp1qnJycvTyyy+XRpwAAMDJSnQXwWv961//0vTp09WsWTNVqFBBgYGBatmypaZNm6a1a9eWRowAAJSpAhlOO9yZ3ZWA4OBgnTt3rkh7Tk6Obr/9dmfEBACAS7n3R7fzlPgugoU6deqksWPHatiwYQoPD5ePj48OHTqkN998U4899lhpxQkAQJnxlDkBXkZx+wDbaNSoUck6u4Ftg31NbEgE2MrJ/NbVIQBuqVxQvVLtf3SdXk7r67XjHzmtL2ez+y6CAADc6tx9LN9Z7J4TIEl5eXn65ZdflJ+fL+nqTYXMZrN++OEHtW/f3qkBAgBQ1jwjBXAgCdi0aZNeeOEFXbhwochz1apVIwkAAOAmYfcSwddff11t2rTR2rVrVbFiRX388ceaO3euQkJCNGrUqFIIEQCAslXgxMOd2V0JyMjIUEJCgmrVqqUmTZooKytLDz/8sLy9vTVjxgx169atNOIEAKDMGB4yIGB3JaBixYrKycmRJNWtW9cyabBevXo6deqUc6MDAAClxu4k4MEHH9TkyZN1+PBhtWjRQp999pkOHjyoZcuWqXr16qURIwAAZcpThgPsTgImTpyo2rVrKzU1VQ8//LAiIiLUvXt3LV26VGPHji2NGAEAKFOesm1wiTYL+iOXLl2Sn5+fypUr53AfbBYEFMVmQUDxSnuzoKfq9HBaX+8cX+60vpzNoX0CMjIylJSUpCNHjqhcuXKqX7++evbsqWrVqjk7PgAAypx7f393HruHA9avX6+2bdsqJSVFtWrVUnBwsLZt26Y2bdpo+/btpREjbpCfn5/mJbyms2e+V8aJvXpm1JDrntu+3UPas3ujLpz7UXuTv1THjm2KPW/8uBF6b8Gs0goZcDtms1lxfZ7Urr37XR0KyoCnDAfYXQmYNWuWnnvuOQ0cONCq/e2339aUKVO4nbAbevWV5xUVFaE2sT1Uq3ZNvf/emzpx8pRWrrT+fxUeHqqk5fM1dtwUrf/ia8W2eVDLP56nP/25g/bv/95y3j/+0UWTXnxOSz9cWdZvBXCJ3FyzxsS/qsPHTrg6FJQRd5/Q5yx2VwLOnDmjv/71r0Xa27ZtyxJBN1S+fIAGDeylZ599Ud+lpOqzz77Qa6+/q6eHPlbk3F4947R581bNeTtRR44c17tzF+lf/9qmR7p3kiT5+PhozuzpWjDvdR05yj+G8AxHjp1Q78HPKCPzP64OBXA6u5OAjh076v3337fcN6DQRx99pDZtii8dw3UimoapXLly2rZ9j6Vt69Zdat48Ul5eXlbnLv4gSROen16kj4oVb5MkBQZWUNPwUP05ppN27Egu3cABN7E75YCa39dUSxPecHUoKEOGE/9zZyUaDujbt6/lA+PKlSv67rvv9O9//1uhoaHy9vZWenq6Tp8+rQcffLBUg4X97rizus6ePacrV65Y2n4+k6WAgABVrVpZZ8+es7SnpR22em3jxg3VunWMEuZ/IEm6ePFXPfCXuDKJG3AXPbt2dHUIcAFPGQ4oURLQokULq8ctW7a0ety4cWPnRQSnKl8+QLm5Zqu2wsd+fn7XfV3VqpW1fNl8bdu2W59/vqFUYwQAXJWbm6vJkydr48aN8vf318CBA4vMwbN16tQpderUSXPnzi3yef1HSpQEDBs2rNj2S5cuKT8/X5UqVbLroig7ly/nys/PZNVW+Dg7O6fY11SvHqQv1n8kb29v9eg5WE7YSgIAbiquKuPPmDFDqampWrRokTIzMzV27FjVqFFDbdu2ve5r4uPjlZ2d7dD1HNonYNGiRVqwYIHOnj0rSapSpYp69ep13WQBrpN5+icFBVWRj4+PZR7HHcHVlZ2dowsXLhY5v0aNO/TlxqsbWzz0cHer4QIA8BSuGA7Izs5WUlKS5s+fr7CwMIWFhSk9PV1Lly69bhLw+eef6/fff3f4mnYnAW+//baWLFmikSNHKjIyUgUFBdq7d6/mzJkjk8mkwYMHOxwMnC9lX6quXLmiP7W4T1u37ZYktWzZXHv2pBT5hl++fIDWrlmigoICPdzmEf38c5YrQgaAW4rZbJbZbD0sazKZZDJZV2nT0tKUl5enyMhIS1tUVJTmzp2rgoICeXtbz+U/f/68Zs6cqcTERHXs6NjcFbuTgOXLl2vq1Klq3bq1pS00NFTBwcGaOnUqSYCbycm5rMUffKK3335Fjz/+rGqE3KFnnxmiQU88K0kKDq6mixd/0+XLlzV+3AjVr1dHDz3c3fJcYR+//vqby94DAJS1AicOgyYkJGjOnDlWbcOGDdPw4cOt2rKyslS5cmWr5CAoKEi5ubm6cOGCqlSpYnX+K6+8oq5du6pBgwYOx2Z3EnDp0iXVqVOnSHvdunV17hylY3c0+p/xenvOK9r0ZZIuXvxVk196XZ9+ul6SdDojRQMHPaPFHyxX167tVb58gLZvs95EaNHi5Rr0+DOuCB0AXMKZMwKGDBmiAQMGWLXZVgEkKScnp0h74WPbSsK2bduUnJysNWvW3FBsdicBkZGRSkxM1EsvvWQpTeTn5ysxMVFNmza9oWBQOnJyLmvgoFEaOGhUkeeuvXFTk/CSL/EkKYAnSt263tUh4CZUXOm/OH5+fkU+7Asf+/v7W9ouX76sF198UZMmTbJqd4TdScD48eP16KOPatu2bQoLC5MkHTx4UGazWQsWLLihYAAAcAeu2PM/ODhY58+fV15ennx9r348Z2Vlyd/fXxUrVrSct3//fmVkZGjEiBFWr3/iiScUFxenl156qcTXtDsJqF+/vtavX6/Vq1fr6NGj8vPzU8uWLdWpUydVqFDB3u4AAHA7rlgiGBoaKl9fX6WkpCg6OlqSlJycrPDwcKtJgU2bNtXGjRutXhsbG6spU6YU2cfnj9idBHTr1k3Tp09Xv3797H0pAAA3BVcsEQwICFBcXJzi4+M1bdo0nTlzRomJiZo+/ep27llZWbrtttvk7++v2rVrF3l9cHCwqlatatc1HbqBkI+Pj70vAwAAf2D8+PEKCwtT//79NXnyZA0fPlyxsbGSpJiYGK1bt86p1/My7NwO7rXXXtOaNWvUuXNnhYSEFNl6Ni4uzqFArp2gBuCqnMxvXR0C4JbKBdUr1f4fqd3FaX0lnfjMaX05m93DAevWrZO3t3exyxK8vLwcTgIAAHAX7n73P2exOwn4+uuvSyMOAABQxhy6d8CRI0e0YsUKHT16VF5eXmrUqJG6d++ukBBK+gCAm5+n3ErY7omBX3/9tbp06aIDBw6obt26uuuuu7Rz50516NBBu3fvLo0YAQAoU4ZhOO1wZ3ZXAmbOnKmRI0fqiSeesGp/9913NXXqVH366afOig0AAJQiuysB//nPf/TQQw8VaW/btq2OHTvmlKAAAHClAhlOO9yZ3UlAu3bttGDBAl25csWqPSkpSe3bt3daYAAAuEqBEw93ZvdwQG5urjZu3KhvvvlGTZo0Ubly5XTo0CFlZGQoIiLCaifBxYsXOzVYAADgPHYnAfXq1dOTTz5p1XbPPfc4LSAAAFyNfQKuY9iwYSU6b/DgwTpz5oyqV69ud1AAALiSu4/lO4tD+wSUxJ49e5Sbm1ta3QMAUGrcfWmfs9g9MbCkPOUPEACAm1WpVQIAALhZufusfmchCQAAwIanTAwsteEAAADg3qgEAABgg9UBAAB4KE+Z3F5qwwGvvvqqgoKCSqt7AABwg+yuBJw+fVpvvvmmDhw4oLy8vCLZ0ldffSVJio2NdU6EAACUMYYDrmPMmDE6f/68Hn30UQUGBpZGTAAAuJSnrA6wOwnYv3+/Vq1apbvvvrs04gEAwOUKmBNQvDp16ujcuXOlEQsAAChDdlcCnnjiCT3//PMaMGCAateurXLlylk936xZM6cFBwCAK3hGHUDyMuxcB9GoUaPrd+blpR9++MGhQHxNIQ69DriV5WR+6+oQALdULqheqfbfMqS10/raevprp/XlbHZXAtLS0kojDgAAUMZKlARkZmbqzjvvlJeXlzIzM//nuTVq1HBKYAAAuApLBK/RunVrbd26VVWrVlXr1q3l5eVV7G5KNzIcAACAu/CUHQNLlAR89dVXqlKliiQpODhYvXr1UqtWrVSpUiV5eXmVaoAAAKB0lCgJCAn576S9p59+Wlu3btXChQvl4+Ojli1bqlWrVoqJiVHlypVLLVAAAMqKpwwH2L06oJBhGPr++++1fft2bd26Vbt371ZoaKiSkpIcCoTVAUBRrA4AilfaqwOa1XjAaX3tzvzGaX05m0N3EczPz9fBgwe1d+9e7du3Tz/++KNMJpMqVqzo7PgAAEApsTsJ6Nu3r1JTU1WxYkVFREQoKipKQ4YMUePGjeXtXWo3JQQAoMwwMfB6L/D1lZeXlypXrqzq1asrODhYwcHBJAAAgFsGcwL+h7y8PB08eFC7d+/Wnj17lJKSottuu03R0dGaPn26Q4EwJwAoijkBQPFKe05A5B0tndbXdz9tdVpfzubQ13dfX19FREToL3/5i1q1aqXmzZvrp59+0o4dO5wdHwAAHiM3N1cTJkxQdHS0YmJilJiYeN1zP//8c/3tb39T06ZN1bNnT+3fv9/u69k9HLB06VLt2rVLe/bsUXZ2tpo1a6aWLVtq5MiRql+/vt0BAADgblw1HDBjxgylpqZq0aJFyszM1NixY1WjRg21bdvW6rw9e/Zo4sSJmjJliu677z59+OGHeuKJJ/T111+rQoUKJb6e3UnA8uXLFRMTo549eyoqKkomk8neLgAAcGuGC5KA7OxsJSUlaf78+QoLC1NYWJjS09O1dOnSIklAVlaWnnrqKXXp0kXS1T18EhMTdeTIETVt2rTE17Q7Cfjss8/sfQkAAPgDaWlpysvLU2RkpKUtKipKc+fOVUFBgdUE/Hbt2ll+vnz5shYuXKiqVavaXZF3aJ8AAABuZQVOXCJoNptlNput2kwmU5FKelZWlipXrmzVHhQUpNzcXF24cMGyff+1tm/froEDB8owDL322mt2DQVIJAEAABThzOGAhIQEzZkzx6pt2LBhGj58uFVbTk5OkcSg8LFtElGoQYMGWrlypTZv3qxx48apZs2auvfee0scG0kAAAClaMiQIRowYIBVW3Hz6fz8/Ip82Bc+9vf3L7bvoKAgBQUFKTQ0VPv27dPHH39MEgAAwI1w5nBAcaX/4gQHB+v8+fPKy8uTr+/Vj+esrCz5+/sX2ZZ///798vHxUVhYmKWtfv36OnLkiF2xsc0fAAA2DCf+V1KhoaHy9fVVSkqKpS05OVnh4eFFduX95JNP9MYbb1i1HTx4UPXq2beJEkkAAABuICAgQHFxcYqPj9f+/fu1adMmJSYmql+/fpKuVgUuX74sSfrHP/6hHTt2aNGiRTp+/Ljeeust7d+/X4899phd13T4VsLOxrbBQFFsGwwUr7S3DW5YLdppff2YtafE5+bk5Cg+Pl4bN25UYGCgBg0aZPlgv+eeezR9+nR169ZNkrR582a98cYbOnHihBo0aKCJEyfqvvvusys2kgDAjZEEAMUr7SSgQbUop/WVnpXstL6cjYmBAADYcObEQHfGnAAAADwUlQAAAGy44t4BrkASAACADcMocHUIZYLhAAAAPBSVAAAAbBQwHAAAgGdyk9XzpY7hAAAAPBSVAAAAbDAcAACAh2I4AAAA3NKoBAAAYMNTtg0mCQAAwAY7BgIA4KGYEwAAAG5pVAIAALDBEkEAADwUwwEAAOCWRiUAAAAbLBEEAMBDMRwAAABuaVQCAACwweoAAAA8FMMBAADglkYlAAAAG6wOAADAQ3EDIQAAPJSnVAKYEwAAgIeiEgAAgA1PWR1AEgAAgA1PmRPAcAAAAB6KSgAAADYYDgAAwEN5ShLAcAAAAB6KSgAAADY8ow4geRmeUvMAAABWGA4AAMBDkQQAAOChSAIAAPBQJAEAAHgokgAAADwUSQAAAB6KJAAAAA9FEgAAgIciCQAAwEORBAAA4KFIAjzEuXPn1KdPH4WHh2vs2LHq27evZs+efd3z77nnHu3cubMMIwT+69SpU7rnnnt06tQpV4dSxOzZs9W3b1+HX/+/frd27type+65R1LRP4NrX/fLL79o/fr1DscAFOIGQh7i888/1/Hjx/Xpp5+qcuXK8vb2Vrly5VwdFlCsO++8U1u2bFGVKlVcHUqZioyM1JYtW4p9bsuWLapUqZIk6bXXXpNhGGrXrl1ZhodbEEmAh7h06ZLq1Kmj+vXruzoU4A/5+PioWrVqrg6jzJlMpuu+72vbue8bnIXhADd04sQJDRo0SJGRkfrLX/6ixYsXS5KOHDmiQYMG6b777lOrVq00Z84cFRQUSLpaonzuuec0adIk3Xfffbr//vs1f/58y3OzZ8/W7t27LSVF2+GAOXPm6P7771eLFi2UlJRkFY/ZbNaUKVPUokULtWjRQqNHj9aFCxck/bdkuXHjRj388MMKDw/XkCFDLM9L0jfffKOuXbsqIiJCnTt31vbt2y3Pffnll2rfvr0iIiLUvXt37dq1qzT+SOFGOnfurCVLllgeDxgwQH369LE8XrZsmR544IEipfDPPvtMHTt2VJMmTdS7d29lZGSU6HqzZ8/WM888o/HjxysiIkJ/+9vf9NVXX1meb926tWbOnKmYmBjFxcXJMIz/+bsmSVeuXNHEiRMVERGhhx9+WOvWrbM8d+nSJY0fP17333+/mjRporZt22rTpk1WMe3evVuxsbGKiIjQyJEjdfHiRUnWwwG2Cn93Z8+erVWrVmnVqlVq3bq13n33XXXq1Mnq3MTERPXu3btEfz7wbCQBbiY3N1cDBw5UhQoVtHz5cr344ouaNWuWPvvsM/Xu3VvVq1dXUlKSJk2apCVLllgSBEnasGGD/Pz8tGrVKg0aNEivvfaajh07poEDB2rgwIGWUmNkZKTVNZctW6bFixdr2rRpWrhwoVasWGH1/BtvvKHU1FTNnz9fixcv1qVLlzRy5Eirc+bOnas33nhDS5Ys0YEDB/T+++9LktLT0zV06FC1adPG8o/4U089paysLKWlpWns2LEaOnSoPv/8c3Xu3FlPPPGETpw4UUp/unAHMTExlmTvypUrSklJ0YEDB3TlyhVJ0tatW9WzZ88ir5s9e7YmTpyolStX6vz583rzzTdLfM0vv/xShmFo5cqV+vvf/64RI0bo8OHDludXr16t9957T6+88orOnz//h79r3333nSRp5cqV6tWrl0aPHm35ezt16lQdO3ZMiYmJWrNmjaKjozVx4kSZzWbL65cuXaqJEydq6dKlOnbsmKZPn17i9zJw4EC1a9dO7dq10yeffKIOHTroxx9/1LFjxyznrF+/Xh06dChxn/BgBtzKpk2bjHvvvdf47bffLG2ffPKJsXDhQuPBBx80rly5Ymn/8MMPjZYtWxqGYRhvvfWW0bJlSyMvL8/yfPPmzY3PP//c8nyfPn0sz/Xp08d46623DMMwjG7duhlz5syxPJeenm40bNjQ2LFjh5GdnW2EhYUZaWlplucvXrxoNGrUyEhLSzMyMjKMhg0bGps3b7Y8P23aNGPAgAGWn6+9rmEYxqxZs4zDhw8bo0ePNqZPn2713LBhw4q04daydetW409/+pNRUFBgfPfdd0bnzp2NmJgYIyUlxcjPzzeaN29u7N+/32jYsKGRkZFhGIZhNGzY0FiyZImlj0WLFhmxsbElut5bb71l/PnPfzZyc3MtbY8++qjxyiuvGIZhGH/961+NmTNnWvX9R79rMTExhtlstjzfp08fSx8rVqwwDh06ZHnuyJEjRsOGDY3MzMxi38vOnTuNxo0bG7/99puxY8cOo2HDhoZhGJbfrWv/DHbs2GEYhmGMHTvWGDt2rKWP7t27G++8845hGIZx6tQpo3HjxsbZs2dL9OcDz8acADdz7Ngx1a1bV4GBgZa2v//975o0aZLCwsLk6/vf/2WRkZHKysrSr7/+KkmqWbOmfHx8LM9XqFBBeXl5f3jNI0eO6Omnn7Y8vvvuu1W+fHlJUkZGhq5cuVLkm1lBQYGOHz+usLAwSVLt2rUtzwUGBlq+1R07dsxyTqFRo0ZZrrt+/XotW7bM8tyVK1cUExPzhzHj5hUdHa2cnBylp6dr9+7dio6O1pkzZ5ScnCwfHx95e3vr9ttvL/K66/0dK4kmTZrIZDJZPT5y5IjlcUhIiOXnI0eO/OHvWmhoqNXE2rCwMEt/cXFx2rRpk5YvX66jR4/q4MGDkqT8/HzL+eHh4ZafGzdurLy8PJ08ebLE78dWhw4dtGrVKg0dOlTr169X8+bNVbVqVYf7g+cgCXAz1/7Dcy0/P78ibYVjlIX/uBQ3298o4QQi2/MK4yjs+8MPP7QkBoWqVq1qGfu/3kqD672fwr6feOIJxcXFWbX7+/uXKGbcnEwmk6Kjo7Vr1y7t2bNHXbp00ZkzZ7Rnzx7l5+erZcuW8vLyKvK6G1nNYvv3MD8/X97e/x0Nvfb3qyS/a9e+tvD5wvjGjBmj7777Tl26dFGvXr1UrVo1/eMf/7A6/9pkvfB370beX/v27fXqq6/qxIkT2rBhg3r06OFwX/AszAlwM3Xq1NGJEyeUk5NjaXv11Vf14Ycf6uDBg1bffr777jtVqVKl2G9N9mjQoIEOHDhgeXzq1CnLN5677rpLPj4+unDhgmrXrq3atWsrMDBQ06dP1y+//PKHfdeuXVtpaWlWbT179tTatWtVt25dnTp1ytJv7dq1tWzZMn3zzTc39H7g/grnBaSkpCgqKkpRUVHau3evtmzZolatWjn9eocOHbKa2JeamnrdCXh169b9w9+19PR0q9fs379f9erV06VLl7RmzRrNmjVLI0aMUJs2bSyT/q5NtH/88Uer15YrV041a9Ys8fuxTZKqV6+u5s2ba8WKFUpLS1NsbGyJ+4JnIwlwMzExMQoKCtKLL76oI0eO6KuvvtLHH3+sN998U2az2dK+adMmzZ49W7169Sr2W5M9+vTpo8WLF2vDhg368ccfNXHiRMs3ncDAQD3yyCOKj4/Xzp07dfjwYY0ZM0YnTpwo0T9avXr10p49e/T+++/rxIkTSkhIUHp6uqKjo/XYY49p3bp1Wrx4sU6ePKmFCxdq4cKFqlOnzg29H7i/mJgYff311woMDFRwcLAaN26snJwc7d69u1SSgIyMDM2cOVNHjx7Vu+++q4MHD6p79+7FntupU6c//F3LzMzUyy+/rCNHjujtt9/W999/r169eslkMikgIEAbN27UqVOn9O233+qll16SJKuJgbNmzdL27duVkpKiKVOmqGfPngoICCjx+wkICNDp06f1888/W9o6duyohQsXqmXLlpb9BIA/QhLgZnx9ffXOO+/ozJkz6tq1q6ZOnaoxY8bo4Ycf1oIFC3Ty5EnFxcXp5ZdfVv/+/TVs2LAbvmaXLl00YsQIvfzyy+rdu7datmypihUrWp4fN26c7r//fo0YMUI9evSQr6+v5s2bZ1XSvJ5atWpp9uzZWrFihTp27KgNGzZo7ty5Cg4O1r333qsZM2boww8/VPv27bV8+XK9/vrratas2Q2/J7i3u+++W1WrVlVUVJSkq+XxyMhINWrUqFQ2CIqIiNC5c+cUFxen9evXa968ebrrrruKPTcwMPAPf9cefPBBXbhwQV27dtWaNWv07rvvKjg4WCaTSTNnztSGDRvUoUMHvfLKKxo6dKiqVaumH374wfL6AQMGaOLEiRowYIAiIyM1evRou95Ply5ddOzYMXXu3NlSYYiNjVV+fr7at2/vwJ8QPJWXUdJBYwC4Cc2ePVu7du3SBx984OpQStXx48cVFxenrVu3qkKFCq4OBzcJJgYCwE3s0qVL2rJli5YtW6YOHTqQAMAuJAEAblobNmzQuHHjrvt8VFSUIiIiyjAi13j++edVq1YtzZw509Wh4CbDcACAm9bvv/+us2fPXvd5f39/BQcHl2FEwM2FJAAAAA/F6gAAADwUSQAAAB6KJAAAAA9FEgAAgIciCQAAwEORBAAA4KFIAgAA8FD/D3aM/aF5ZGvxAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_matrix = winning_trades[[\"confidence\", \"win_probability\"]].corr().round(2)\n",
    "sns.heatmap(corr_matrix, annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_matrix = non_winning_trades[[\"confidence\", \"win_probability\"]].corr().round(2)\n",
    "sns.heatmap(corr_matrix, annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Per tool analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1686a75f0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x1000 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(winning_trades, col=\"tool\", height=2.5, col_wrap=3, sharey=False)\n",
    "g.map(sns.histplot, \"confidence\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">confidence</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tool</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>claude-prediction-offline</th>\n",
       "      <td>0.60</td>\n",
       "      <td>0.596431</td>\n",
       "      <td>1331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claude-prediction-online</th>\n",
       "      <td>0.60</td>\n",
       "      <td>0.590868</td>\n",
       "      <td>9527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-offline</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.684258</td>\n",
       "      <td>6816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-offline-sme</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.743488</td>\n",
       "      <td>2196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-online</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.770757</td>\n",
       "      <td>16132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-online-sme</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.771355</td>\n",
       "      <td>39269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-rag</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.817804</td>\n",
       "      <td>13603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-rag-claude</th>\n",
       "      <td>0.70</td>\n",
       "      <td>0.725028</td>\n",
       "      <td>4447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-reasoning</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.771400</td>\n",
       "      <td>10090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-reasoning-claude</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.772052</td>\n",
       "      <td>3630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-url-cot-claude</th>\n",
       "      <td>0.70</td>\n",
       "      <td>0.694298</td>\n",
       "      <td>2499</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    confidence                 \n",
       "                                        median      mean  count\n",
       "tool                                                           \n",
       "claude-prediction-offline                 0.60  0.596431   1331\n",
       "claude-prediction-online                  0.60  0.590868   9527\n",
       "prediction-offline                        0.80  0.684258   6816\n",
       "prediction-offline-sme                    0.80  0.743488   2196\n",
       "prediction-online                         0.80  0.770757  16132\n",
       "prediction-online-sme                     0.80  0.771355  39269\n",
       "prediction-request-rag                    0.80  0.817804  13603\n",
       "prediction-request-rag-claude             0.70  0.725028   4447\n",
       "prediction-request-reasoning              0.75  0.771400  10090\n",
       "prediction-request-reasoning-claude       0.80  0.772052   3630\n",
       "prediction-url-cot-claude                 0.70  0.694298   2499"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winning_trades.groupby(\"tool\")[[\"confidence\"]].agg(['median', 'mean', 'count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x168aedc40>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x1000 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(non_winning_trades, col=\"tool\", height=2.5, col_wrap=3, sharey=False)\n",
    "g.map(sns.histplot, \"confidence\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">confidence</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tool</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>claude-prediction-offline</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.584436</td>\n",
       "      <td>1001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claude-prediction-online</th>\n",
       "      <td>0.60</td>\n",
       "      <td>0.616474</td>\n",
       "      <td>6182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-offline</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.694949</td>\n",
       "      <td>5355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-offline-sme</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.763837</td>\n",
       "      <td>1814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-online</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.780465</td>\n",
       "      <td>15329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-online-sme</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.770700</td>\n",
       "      <td>36533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-rag</th>\n",
       "      <td>0.90</td>\n",
       "      <td>0.840758</td>\n",
       "      <td>13900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-rag-claude</th>\n",
       "      <td>0.70</td>\n",
       "      <td>0.729777</td>\n",
       "      <td>2334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-reasoning</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.746198</td>\n",
       "      <td>5973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-request-reasoning-claude</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.763014</td>\n",
       "      <td>1752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prediction-url-cot-claude</th>\n",
       "      <td>0.70</td>\n",
       "      <td>0.686226</td>\n",
       "      <td>1325</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    confidence                 \n",
       "                                        median      mean  count\n",
       "tool                                                           \n",
       "claude-prediction-offline                 0.50  0.584436   1001\n",
       "claude-prediction-online                  0.60  0.616474   6182\n",
       "prediction-offline                        0.80  0.694949   5355\n",
       "prediction-offline-sme                    0.80  0.763837   1814\n",
       "prediction-online                         0.80  0.780465  15329\n",
       "prediction-online-sme                     0.80  0.770700  36533\n",
       "prediction-request-rag                    0.90  0.840758  13900\n",
       "prediction-request-rag-claude             0.70  0.729777   2334\n",
       "prediction-request-reasoning              0.75  0.746198   5973\n",
       "prediction-request-reasoning-claude       0.80  0.763014   1752\n",
       "prediction-url-cot-claude                 0.70  0.686226   1325"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_winning_trades.groupby(\"tool\")[[\"confidence\"]].agg(['median', 'mean', 'count'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In conclusion we found tools very confident on both sides of the winning and non winning answers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "444"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "del tools_non_error\n",
    "del winning_trades\n",
    "del non_winning_trades\n",
    "gc.collect()"
   ]
  }
 ],
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