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bet/test.ipynb
aszerW 15b75d9928 筛选测试
2025-10-13 21:32:28 +08:00

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{
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{
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"id": "480f73ee",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
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},
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"id": "94725a95",
"metadata": {},
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"source": [
"df = pd.read_feather(\"/Users/aszer/Documents/vscode/bet/data/api_signal_res/api_res_merged_processed.feather\")"
]
},
{
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"execution_count": 5,
"id": "9f9e8d09",
"metadata": {},
"outputs": [],
"source": [
"df = df[~df['id'].isna()]"
]
},
{
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"id": "b28ed7a8",
"metadata": {},
"outputs": [
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"/var/folders/km/5gc2fwqs19sbr04h1_j5_rzw0000gn/T/ipykernel_14723/1988817479.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['first_novig_price'] = df['first_novig_price'].astype(float)\n",
"/var/folders/km/5gc2fwqs19sbr04h1_j5_rzw0000gn/T/ipykernel_14723/1988817479.py:2: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['first_power_novig_price'] = df['first_power_novig_price'].astype(float)\n"
]
}
],
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"df['first_novig_price'] = df['first_novig_price'].astype(float)\n",
"df['first_power_novig_price'] = df['first_power_novig_price'].astype(float)"
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"/var/folders/km/5gc2fwqs19sbr04h1_j5_rzw0000gn/T/ipykernel_14723/2328886942.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df['mult_p'] = df['first_novig_price'].apply(american_odds_to_probability)\n",
"/var/folders/km/5gc2fwqs19sbr04h1_j5_rzw0000gn/T/ipykernel_14723/2328886942.py:2: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" <td>128</td>\n",
" <td>2025-07-12 18:46:39</td>\n",
" <td>2025-07-12 18:46:39</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.598566</td>\n",
" <td>0.613075</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>11718998</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>Korea - K3 League</td>\n",
" <td>2025031587E792E2</td>\n",
" <td>40477-42587-2025-07-12</td>\n",
" <td>Team Total</td>\n",
" <td>chuncheon_fc:0.5</td>\n",
" <td>2025-07-12 16:21:26</td>\n",
" <td>Chuncheon FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>125</td>\n",
" <td>2025-07-12 17:45:55</td>\n",
" <td>2025-07-12 17:45:55</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.593583</td>\n",
" <td>0.607512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>11750993</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>Korea - K3 League</td>\n",
" <td>2025031587E792E2</td>\n",
" <td>40477-42587-2025-07-12</td>\n",
" <td>Team Total</td>\n",
" <td>chuncheon_fc:0.5</td>\n",
" <td>2025-07-12 16:21:56</td>\n",
" <td>Chuncheon FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>125</td>\n",
" <td>2025-07-12 19:13:33</td>\n",
" <td>2025-07-12 19:13:33</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.593583</td>\n",
" <td>0.607512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>11715052</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>Korea - K3 League</td>\n",
" <td>2025031587E792E2</td>\n",
" <td>40477-42587-2025-07-12</td>\n",
" <td>Team Total</td>\n",
" <td>chuncheon_fc:0.5</td>\n",
" <td>2025-07-12 16:21:08</td>\n",
" <td>Chuncheon FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>128</td>\n",
" <td>2025-07-12 17:06:39</td>\n",
" <td>2025-07-12 17:06:39</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.598566</td>\n",
" <td>0.613075</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2687243</th>\n",
" <td>21087841</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>England - EFL Cup</td>\n",
" <td>20250812A37FF92A</td>\n",
" <td>10662-19531-2025-08-12</td>\n",
" <td>1st Half Team Total</td>\n",
" <td>gillingham_fc:0.5</td>\n",
" <td>2025-08-05 19:47:02</td>\n",
" <td>Gillingham FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>-189</td>\n",
" <td>2025-08-05 22:29:50</td>\n",
" <td>2025-08-05 22:29:50</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.395208</td>\n",
" <td>0.381813</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2687244</th>\n",
" <td>21121235</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>England - EFL Cup</td>\n",
" <td>20250812A37FF92A</td>\n",
" <td>10662-19531-2025-08-12</td>\n",
" <td>1st Half Team Total</td>\n",
" <td>gillingham_fc:0.5</td>\n",
" <td>2025-08-05 19:46:50</td>\n",
" <td>Gillingham FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>-192</td>\n",
" <td>2025-08-05 21:41:08</td>\n",
" <td>2025-08-05 21:41:08</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.391883</td>\n",
" <td>0.378070</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2687245</th>\n",
" <td>21050439</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>England - EFL Cup</td>\n",
" <td>20250812A37FF92A</td>\n",
" <td>10662-19531-2025-08-12</td>\n",
" <td>1st Half Team Total</td>\n",
" <td>gillingham_fc:0.5</td>\n",
" <td>2025-08-05 19:46:20</td>\n",
" <td>Gillingham FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>-189</td>\n",
" <td>2025-08-05 20:07:20</td>\n",
" <td>2025-08-05 20:07:20</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.395208</td>\n",
" <td>0.381813</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2687246</th>\n",
" <td>14576669</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>England - EFL Cup</td>\n",
" <td>20250812A37FF92A</td>\n",
" <td>10662-19531-2025-08-12</td>\n",
" <td>1st Half Team Total</td>\n",
" <td>gillingham_fc:0.5</td>\n",
" <td>2025-07-19 04:44:39</td>\n",
" <td>Gillingham FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>-185</td>\n",
" <td>2025-07-19 04:46:06</td>\n",
" <td>2025-07-19 04:46:06</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>lost</td>\n",
" <td>0.399049</td>\n",
" <td>0.386351</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2687247</th>\n",
" <td>20433756</td>\n",
" <td>1XBet</td>\n",
" <td>soccer</td>\n",
" <td>England - EFL Cup</td>\n",
" <td>20250812A37FF92A</td>\n",
" <td>10662-19531-2025-08-12</td>\n",
" <td>Team Total</td>\n",
" <td>gillingham_fc:0.5</td>\n",
" <td>2025-08-04 02:47:17</td>\n",
" <td>Gillingham FC Over 0.5</td>\n",
" <td>...</td>\n",
" <td>165</td>\n",
" <td>2025-08-04 03:38:28</td>\n",
" <td>2025-08-04 03:38:28</td>\n",
" <td>\\N</td>\n",
" <td>1xbet</td>\n",
" <td>1xbet</td>\n",
" <td>\\N</td>\n",
" <td>won</td>\n",
" <td>0.647838</td>\n",
" <td>0.664375</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2687248 rows × 49 columns</p>\n",
"</div>"
],
"text/plain": [
" id sportsbook sport league fixture_id \\\n",
"0 10891534 1XBet soccer Korea - K3 League 2025031587E792E2 \n",
"1 11725686 1XBet soccer Korea - K3 League 2025031587E792E2 \n",
"2 11718998 1XBet soccer Korea - K3 League 2025031587E792E2 \n",
"3 11750993 1XBet soccer Korea - K3 League 2025031587E792E2 \n",
"4 11715052 1XBet soccer Korea - K3 League 2025031587E792E2 \n",
"... ... ... ... ... ... \n",
"2687243 21087841 1XBet soccer England - EFL Cup 20250812A37FF92A \n",
"2687244 21121235 1XBet soccer England - EFL Cup 20250812A37FF92A \n",
"2687245 21050439 1XBet soccer England - EFL Cup 20250812A37FF92A \n",
"2687246 14576669 1XBet soccer England - EFL Cup 20250812A37FF92A \n",
"2687247 20433756 1XBet soccer England - EFL Cup 20250812A37FF92A \n",
"\n",
" game_id market grouping_key \\\n",
"0 40477-42587-2025-07-12 Team Total chuncheon_fc:0.5 \n",
"1 40477-42587-2025-07-12 Team Total chuncheon_fc:0.5 \n",
"2 40477-42587-2025-07-12 Team Total chuncheon_fc:0.5 \n",
"3 40477-42587-2025-07-12 Team Total chuncheon_fc:0.5 \n",
"4 40477-42587-2025-07-12 Team Total chuncheon_fc:0.5 \n",
"... ... ... ... \n",
"2687243 10662-19531-2025-08-12 1st Half Team Total gillingham_fc:0.5 \n",
"2687244 10662-19531-2025-08-12 1st Half Team Total gillingham_fc:0.5 \n",
"2687245 10662-19531-2025-08-12 1st Half Team Total gillingham_fc:0.5 \n",
"2687246 10662-19531-2025-08-12 1st Half Team Total gillingham_fc:0.5 \n",
"2687247 10662-19531-2025-08-12 Team Total gillingham_fc:0.5 \n",
"\n",
" timestamp first_name ... \\\n",
"0 2025-07-10 23:43:55 Chuncheon FC Over 0.5 ... \n",
"1 2025-07-12 16:21:46 Chuncheon FC Over 0.5 ... \n",
"2 2025-07-12 16:21:26 Chuncheon FC Over 0.5 ... \n",
"3 2025-07-12 16:21:56 Chuncheon FC Over 0.5 ... \n",
"4 2025-07-12 16:21:08 Chuncheon FC Over 0.5 ... \n",
"... ... ... ... \n",
"2687243 2025-08-05 19:47:02 Gillingham FC Over 0.5 ... \n",
"2687244 2025-08-05 19:46:50 Gillingham FC Over 0.5 ... \n",
"2687245 2025-08-05 19:46:20 Gillingham FC Over 0.5 ... \n",
"2687246 2025-07-19 04:44:39 Gillingham FC Over 0.5 ... \n",
"2687247 2025-08-04 02:47:17 Gillingham FC Over 0.5 ... \n",
"\n",
" max_price_realtime_second gmt_created gmt_modified \\\n",
"0 138 2025-07-11 01:16:04 2025-07-11 01:16:04 \n",
"1 128 2025-07-12 18:46:39 2025-07-12 18:46:39 \n",
"2 125 2025-07-12 17:45:55 2025-07-12 17:45:55 \n",
"3 125 2025-07-12 19:13:33 2025-07-12 19:13:33 \n",
"4 128 2025-07-12 17:06:39 2025-07-12 17:06:39 \n",
"... ... ... ... \n",
"2687243 -189 2025-08-05 22:29:50 2025-08-05 22:29:50 \n",
"2687244 -192 2025-08-05 21:41:08 2025-08-05 21:41:08 \n",
"2687245 -189 2025-08-05 20:07:20 2025-08-05 20:07:20 \n",
"2687246 -185 2025-07-19 04:46:06 2025-07-19 04:46:06 \n",
"2687247 165 2025-08-04 03:38:28 2025-08-04 03:38:28 \n",
"\n",
" bet_id max_price_sportsbook_realtime_first \\\n",
"0 \\N 1xbet \n",
"1 \\N 1xbet \n",
"2 \\N 1xbet \n",
"3 \\N 1xbet \n",
"4 \\N 1xbet \n",
"... ... ... \n",
"2687243 \\N 1xbet \n",
"2687244 \\N 1xbet \n",
"2687245 \\N 1xbet \n",
"2687246 \\N 1xbet \n",
"2687247 \\N 1xbet \n",
"\n",
" max_price_sportsbook_realtime_second bet_status res mult_p \\\n",
"0 1xbet \\N lost 0.618265 \n",
"1 1xbet \\N lost 0.598566 \n",
"2 1xbet \\N lost 0.593583 \n",
"3 1xbet \\N lost 0.593583 \n",
"4 1xbet \\N lost 0.598566 \n",
"... ... ... ... ... \n",
"2687243 1xbet \\N lost 0.395208 \n",
"2687244 1xbet \\N lost 0.391883 \n",
"2687245 1xbet \\N lost 0.395208 \n",
"2687246 1xbet \\N lost 0.399049 \n",
"2687247 1xbet \\N won 0.647838 \n",
"\n",
" power_p \n",
"0 0.637413 \n",
"1 0.613075 \n",
"2 0.607512 \n",
"3 0.607512 \n",
"4 0.613075 \n",
"... ... \n",
"2687243 0.381813 \n",
"2687244 0.378070 \n",
"2687245 0.381813 \n",
"2687246 0.386351 \n",
"2687247 0.664375 \n",
"\n",
"[2687248 rows x 49 columns]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "e3922153",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
"columns": [
{
"name": "sport",
"rawType": "object",
"type": "string"
},
{
"name": "count",
"rawType": "int64",
"type": "integer"
}
],
"ref": "83f0f1b4-fa7c-4118-b40b-e425efcfcbd2",
"rows": [
[
"basketball",
"925450"
],
[
"soccer",
"780603"
],
[
"tennis",
"471408"
],
[
"baseball",
"257880"
],
[
"football",
"145377"
],
[
"hockey",
"106530"
]
],
"shape": {
"columns": 1,
"rows": 6
}
},
"text/plain": [
"sport\n",
"basketball 925450\n",
"soccer 780603\n",
"tennis 471408\n",
"baseball 257880\n",
"football 145377\n",
"hockey 106530\n",
"Name: count, dtype: int64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[\"sport\"].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "2dfaf8ca",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"{'logloss': 0.690496687613604, 'brier': 0.24850224250360972, 'ece': 0.1155599024710577, 'accuracy': 0.5340467110630467, 'reg_alpha': -0.4665279896418917, 'reg_beta': 0.7157222168536969, 'n_samples': 52707, 'filter_cols': 'basketball,FIBA - EuroBasket'}\n",
"{'logloss': 0.6376234810642204, 'brier': 0.2180371329100866, 'ece': 0.09167431133757119, 'accuracy': 0.66439443458773, 'reg_alpha': -0.3478294258464765, 'reg_beta': 0.6584022406399682, 'n_samples': 10709, 'filter_cols': 'hockey,Champions Hockey League'}\n",
"{'logloss': 0.543836628850608, 'brier': 0.18112953543645421, 'ece': 0.045054680119660885, 'accuracy': 0.7346689096192078, 'reg_alpha': -0.23513007637508887, 'reg_beta': 0.8218775009035377, 'n_samples': 13078, 'filter_cols': 'soccer,USA - Major League Soccer'}\n",
"{'logloss': 0.5270332331563206, 'brier': 0.1719470900987721, 'ece': 0.09616008154589088, 'accuracy': 0.7463364841434085, 'reg_alpha': 0.11490250282057982, 'reg_beta': 0.9362960089061145, 'n_samples': 71516, 'filter_cols': 'hockey,Russia - KHL'}\n",
"{'logloss': 0.5991151059519255, 'brier': 0.20920131398932934, 'ece': 0.028903016413601174, 'accuracy': 0.6439574745064005, 'reg_alpha': -0.0846665924239476, 'reg_beta': 1.077467899977688, 'n_samples': 23045, 'filter_cols': 'football,CFL'}\n"
]
}
],
"source": [
"from pinnacle_experiments import compute_metrics\n",
"data_list = []\n",
"cols = ['sport', 'league']\n",
"for cs in df[cols].drop_duplicates().values:\n",
" tmp_df = df[cols + [\"mult_p\", \"power_p\", \"res\"]].copy()\n",
" for i, col in enumerate(cols):\n",
" tmp_df = tmp_df[tmp_df[col] == cs[i]]\n",
" if len(tmp_df) < 10000:\n",
" continue\n",
" tmp_df['win_prob'] = tmp_df['power_p']\n",
" res = compute_metrics(tmp_df)\n",
" res['filter_cols'] = ','.join(cs)\n",
" data_list.append(res)\n",
" print(res)\n"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "ace930ea",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
"columns": [
{
"name": "index",
"rawType": "int64",
"type": "integer"
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{
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"rawType": "float64",
"type": "float"
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{
"name": "brier",
"rawType": "float64",
"type": "float"
},
{
"name": "ece",
"rawType": "float64",
"type": "float"
},
{
"name": "accuracy",
"rawType": "float64",
"type": "float"
},
{
"name": "reg_alpha",
"rawType": "float64",
"type": "float"
},
{
"name": "reg_beta",
"rawType": "float64",
"type": "float"
},
{
"name": "n_samples",
"rawType": "int64",
"type": "integer"
},
{
"name": "filter_cols",
"rawType": "object",
"type": "string"
}
],
"ref": "4b7896dd-a59e-450c-969a-0001198b5243",
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[
"31",
"0.6662412181077698",
"0.23761860704839485",
"0.0371234165065266",
"0.5762058677274987",
"0.14384728831394308",
"1.0122831905930834",
"16088",
"basketball,China - NBL"
],
[
"15",
"0.6663527462332455",
"0.2376036967707234",
"0.03388370303890966",
"0.5815045853319084",
"0.1427883577274798",
"0.9585163808012259",
"40237",
"basketball,Australia - WNBL1"
],
[
"18",
"0.6664131480072407",
"0.23734593846080834",
"0.03973042095862628",
"0.5884353741496599",
"0.16354638818996434",
"0.9235021333238036",
"22344",
"basketball,Bolivia - Libobasquet"
],
[
"22",
"0.6694831953994473",
"0.23880427198786064",
"0.0494441246999416",
"0.5744888833426925",
"0.20676041102966616",
"0.9590826303757036",
"48081",
"basketball,Puerto Rico - BSN"
],
[
"0",
"0.6718531901325372",
"0.24002926206705708",
"0.1679080185574861",
"0.5691254615869584",
"0.7344124574203825",
"0.85131391447554",
"22206",
"baseball,KBO"
],
[
"9",
"0.6738677166094174",
"0.24058309962923094",
"0.06333551603206661",
"0.5795182098413061",
"0.26463993587125495",
"0.8981561913782147",
"17518",
"baseball,USA - MiLB AAA"
],
[
"20",
"0.6743861779775661",
"0.2412480172744158",
"0.015513743623443238",
"0.5570667235131103",
"0.058203056104794385",
"0.9120078334316958",
"46910",
"basketball,Mexico - LNBP"
],
[
"14",
"0.6753012111340029",
"0.24169869361255503",
"0.02448996747466243",
"0.5641184679795317",
"0.06064210193942301",
"0.8827670034874413",
"19347",
"basketball,Dominican Republic - LNB"
],
[
"41",
"0.677503041073367",
"0.24270438482768675",
"0.04378053947325764",
"0.5569868850276279",
"0.17744009971512947",
"0.9148317266934788",
"30042",
"basketball,International - Basketball Friendlies"
],
[
"3",
"0.6778458553288703",
"0.24217731125205963",
"0.0211771798093546",
"0.5623018370162403",
"0.06011902436284209",
"0.7370162757823379",
"330536",
"basketball,WNBA"
],
[
"39",
"0.6778785335442384",
"0.2425457515701249",
"0.11338451442238878",
"0.5629315756434401",
"0.4728341875736046",
"0.9725149989076598",
"25488",
"basketball,FIBA - AfroBasket Women"
],
[
"37",
"0.6779141524967058",
"0.24296124183454898",
"0.04688443972472623",
"0.5649335688503188",
"0.08623201295120345",
"0.6758222365325911",
"13021",
"basketball,Singapore - NBL"
],
[
"44",
"0.6783613746943183",
"0.24307107713988957",
"0.07723683417016428",
"0.5644073811213627",
"0.3195117930781072",
"0.8363495683865486",
"16908",
"basketball,FIBA - Asia Cup"
],
[
"28",
"0.6785833976976212",
"0.24268156334569332",
"0.035344529371626916",
"0.565502621250752",
"0.10562901599408482",
"0.6709422644266951",
"34907",
"basketball,Philippines - MPBL"
],
[
"13",
"0.6796181336012113",
"0.24355523418897007",
"0.014339156695711576",
"0.558685038515786",
"0.0499721910919082",
"0.8563315738887669",
"46085",
"basketball,Australia - NBL1"
],
[
"11",
"0.6807902492613571",
"0.24390682117235568",
"0.14930636161730468",
"0.551194679366122",
"0.6332019443776384",
"0.9341802439753223",
"12179",
"basketball,New Zealand - NBL"
],
[
"45",
"0.6813451744463095",
"0.2443012618218192",
"0.019343239530617864",
"0.5531254617999113",
"0.018180630465103775",
"0.8162874920525484",
"13534",
"basketball,FIBA - AfroBasket"
],
[
"10",
"0.683375372057873",
"0.2446761157606083",
"0.027801071343018034",
"0.5552355001946283",
"0.034197784307159425",
"0.6338216756896216",
"12845",
"basketball,Indonesia - IBL"
]
],
"shape": {
"columns": 8,
"rows": 53
}
},
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>logloss</th>\n",
" <th>brier</th>\n",
" <th>ece</th>\n",
" <th>accuracy</th>\n",
" <th>reg_alpha</th>\n",
" <th>reg_beta</th>\n",
" <th>n_samples</th>\n",
" <th>filter_cols</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>0.464565</td>\n",
" <td>0.152943</td>\n",
" <td>0.043543</td>\n",
" <td>0.762862</td>\n",
" <td>0.274781</td>\n",
" <td>0.998295</td>\n",
" <td>10943</td>\n",
" <td>soccer,Peru - Primera Division</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>0.520734</td>\n",
" <td>0.174765</td>\n",
" <td>0.042646</td>\n",
" <td>0.727845</td>\n",
" <td>0.131899</td>\n",
" <td>0.834340</td>\n",
" <td>10009</td>\n",
" <td>soccer,Norway - Eliteserien</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>0.527033</td>\n",
" <td>0.171947</td>\n",
" <td>0.096160</td>\n",
" <td>0.746336</td>\n",
" <td>0.114903</td>\n",
" <td>0.936296</td>\n",
" <td>71516</td>\n",
" <td>hockey,Russia - KHL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>0.535015</td>\n",
" <td>0.176782</td>\n",
" <td>0.111219</td>\n",
" <td>0.738750</td>\n",
" <td>0.660331</td>\n",
" <td>0.946272</td>\n",
" <td>66488</td>\n",
" <td>football,NCAAF</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>0.535792</td>\n",
" <td>0.177590</td>\n",
" <td>0.032241</td>\n",
" <td>0.727798</td>\n",
" <td>0.108563</td>\n",
" <td>0.791771</td>\n",
" <td>11249</td>\n",
" <td>soccer,USA - USL Championship</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>0.537645</td>\n",
" <td>0.181974</td>\n",
" <td>0.031149</td>\n",
" <td>0.705679</td>\n",
" <td>0.072041</td>\n",
" <td>0.887307</td>\n",
" <td>54162</td>\n",
" <td>football,NFL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>0.538711</td>\n",
" <td>0.181265</td>\n",
" <td>0.054371</td>\n",
" <td>0.730290</td>\n",
" <td>0.093414</td>\n",
" <td>0.764190</td>\n",
" <td>13407</td>\n",
" <td>soccer,Argentina - Primera Nacional</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>0.543837</td>\n",
" <td>0.181130</td>\n",
" <td>0.045055</td>\n",
" <td>0.734669</td>\n",
" <td>0.235130</td>\n",
" <td>0.821878</td>\n",
" <td>13078</td>\n",
" <td>soccer,USA - Major League Soccer</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>0.549081</td>\n",
" <td>0.183400</td>\n",
" <td>0.042721</td>\n",
" <td>0.724390</td>\n",
" <td>0.137785</td>\n",
" <td>0.812733</td>\n",
" <td>10406</td>\n",
" <td>soccer,UEFA - Europa Conference League</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>0.561293</td>\n",
" <td>0.188768</td>\n",
" <td>0.052492</td>\n",
" <td>0.706528</td>\n",
" <td>0.266302</td>\n",
" <td>0.776085</td>\n",
" <td>13756</td>\n",
" <td>soccer,International - Club Friendlies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>0.561882</td>\n",
" <td>0.191536</td>\n",
" <td>0.033802</td>\n",
" <td>0.695933</td>\n",
" <td>0.036839</td>\n",
" <td>0.925295</td>\n",
" <td>22893</td>\n",
" <td>soccer,Argentina - Primera Division</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>0.566517</td>\n",
" <td>0.189724</td>\n",
" <td>0.082218</td>\n",
" <td>0.713140</td>\n",
" <td>0.424757</td>\n",
" <td>0.703853</td>\n",
" <td>10723</td>\n",
" <td>soccer,England - League 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>0.566888</td>\n",
" <td>0.194560</td>\n",
" <td>0.035359</td>\n",
" <td>0.695430</td>\n",
" <td>0.074138</td>\n",
" <td>1.007326</td>\n",
" <td>11160</td>\n",
" <td>soccer,Finland - Veikkausliiga</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>0.572710</td>\n",
" <td>0.187939</td>\n",
" <td>0.060116</td>\n",
" <td>0.718579</td>\n",
" <td>0.304164</td>\n",
" <td>0.648201</td>\n",
" <td>10980</td>\n",
" <td>soccer,Brazil - Copa do Brasil</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>0.575627</td>\n",
" <td>0.192801</td>\n",
" <td>0.054032</td>\n",
" <td>0.707427</td>\n",
" <td>0.237266</td>\n",
" <td>0.726354</td>\n",
" <td>11269</td>\n",
" <td>soccer,Romania - Liga I</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>0.579453</td>\n",
" <td>0.197797</td>\n",
" <td>0.027817</td>\n",
" <td>0.685311</td>\n",
" <td>0.002665</td>\n",
" <td>0.849358</td>\n",
" <td>12050</td>\n",
" <td>soccer,Brazil - Serie A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>0.589420</td>\n",
" <td>0.203278</td>\n",
" <td>0.044250</td>\n",
" <td>0.664119</td>\n",
" <td>0.083614</td>\n",
" <td>0.875885</td>\n",
" <td>27864</td>\n",
" <td>soccer,Belgium - Jupiler Pro League</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>0.590700</td>\n",
" <td>0.201161</td>\n",
" <td>0.045602</td>\n",
" <td>0.676971</td>\n",
" <td>0.195143</td>\n",
" <td>0.708406</td>\n",
" <td>12454</td>\n",
" <td>soccer,UEFA - Champions League</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>0.594246</td>\n",
" <td>0.204917</td>\n",
" <td>0.035847</td>\n",
" <td>0.674240</td>\n",
" <td>0.113102</td>\n",
" <td>0.851690</td>\n",
" <td>11576</td>\n",
" <td>soccer,Sweden - Allsvenskan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>0.597442</td>\n",
" <td>0.201261</td>\n",
" <td>0.062009</td>\n",
" <td>0.705796</td>\n",
" <td>0.242840</td>\n",
" <td>0.696571</td>\n",
" <td>13630</td>\n",
" <td>soccer,Serbia - Super Liga</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>0.599115</td>\n",
" <td>0.209201</td>\n",
" <td>0.028903</td>\n",
" <td>0.643957</td>\n",
" <td>0.084667</td>\n",
" <td>1.077468</td>\n",
" <td>23045</td>\n",
" <td>football,CFL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>0.599694</td>\n",
" <td>0.203798</td>\n",
" <td>0.084088</td>\n",
" <td>0.676031</td>\n",
" <td>0.318081</td>\n",
" <td>0.615183</td>\n",
" <td>12174</td>\n",
" <td>soccer,Brazil - Serie B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>0.617782</td>\n",
" <td>0.209778</td>\n",
" <td>0.086492</td>\n",
" <td>0.686149</td>\n",
" <td>0.287952</td>\n",
" <td>0.611388</td>\n",
" <td>23543</td>\n",
" <td>soccer,Mexico - Liga MX</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.629714</td>\n",
" <td>0.220410</td>\n",
" <td>0.017822</td>\n",
" <td>0.628876</td>\n",
" <td>0.041707</td>\n",
" <td>0.862464</td>\n",
" <td>179250</td>\n",
" <td>tennis,ATP</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>0.637623</td>\n",
" <td>0.218037</td>\n",
" <td>0.091674</td>\n",
" <td>0.664394</td>\n",
" <td>0.347829</td>\n",
" <td>0.658402</td>\n",
" <td>10709</td>\n",
" <td>hockey,Champions Hockey League</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.646996</td>\n",
" <td>0.227903</td>\n",
" <td>0.028335</td>\n",
" <td>0.614722</td>\n",
" <td>0.096585</td>\n",
" <td>0.802897</td>\n",
" <td>146411</td>\n",
" <td>tennis,WTA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>0.647355</td>\n",
" <td>0.228791</td>\n",
" <td>0.023958</td>\n",
" <td>0.602464</td>\n",
" <td>0.104731</td>\n",
" <td>0.959911</td>\n",
" <td>29957</td>\n",
" <td>tennis,ITF Men</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>0.648792</td>\n",
" <td>0.229147</td>\n",
" <td>0.014266</td>\n",
" <td>0.612889</td>\n",
" <td>0.044337</td>\n",
" <td>0.864323</td>\n",
" <td>161884</td>\n",
" <td>baseball,MLB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.652410</td>\n",
" <td>0.230997</td>\n",
" <td>0.017813</td>\n",
" <td>0.599634</td>\n",
" <td>0.043153</td>\n",
" <td>0.957035</td>\n",
" <td>115729</td>\n",
" <td>tennis,ATP Challenger</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>0.654060</td>\n",
" <td>0.231602</td>\n",
" <td>0.048484</td>\n",
" <td>0.595263</td>\n",
" <td>0.148427</td>\n",
" <td>0.737568</td>\n",
" <td>19929</td>\n",
" <td>hockey,Australia - Ice Hockey League</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>0.658351</td>\n",
" <td>0.233137</td>\n",
" <td>0.138689</td>\n",
" <td>0.615862</td>\n",
" <td>0.598327</td>\n",
" <td>1.676715</td>\n",
" <td>20641</td>\n",
" <td>basketball,Philippines - Phillipine Cup</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>0.664333</td>\n",
" <td>0.235569</td>\n",
" <td>0.134413</td>\n",
" <td>0.604237</td>\n",
" <td>0.579036</td>\n",
" <td>0.693627</td>\n",
" <td>44279</td>\n",
" <td>baseball,NPB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>0.666241</td>\n",
" <td>0.237619</td>\n",
" <td>0.037123</td>\n",
" <td>0.576206</td>\n",
" <td>0.143847</td>\n",
" <td>1.012283</td>\n",
" <td>16088</td>\n",
" <td>basketball,China - NBL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>0.666353</td>\n",
" <td>0.237604</td>\n",
" <td>0.033884</td>\n",
" <td>0.581505</td>\n",
" <td>0.142788</td>\n",
" <td>0.958516</td>\n",
" <td>40237</td>\n",
" <td>basketball,Australia - WNBL1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>0.666413</td>\n",
" <td>0.237346</td>\n",
" <td>0.039730</td>\n",
" <td>0.588435</td>\n",
" <td>0.163546</td>\n",
" <td>0.923502</td>\n",
" <td>22344</td>\n",
" <td>basketball,Bolivia - Libobasquet</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>0.669483</td>\n",
" <td>0.238804</td>\n",
" <td>0.049444</td>\n",
" <td>0.574489</td>\n",
" <td>0.206760</td>\n",
" <td>0.959083</td>\n",
" <td>48081</td>\n",
" <td>basketball,Puerto Rico - BSN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.671853</td>\n",
" <td>0.240029</td>\n",
" <td>0.167908</td>\n",
" <td>0.569125</td>\n",
" <td>0.734412</td>\n",
" <td>0.851314</td>\n",
" <td>22206</td>\n",
" <td>baseball,KBO</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>0.673868</td>\n",
" <td>0.240583</td>\n",
" <td>0.063336</td>\n",
" <td>0.579518</td>\n",
" <td>0.264640</td>\n",
" <td>0.898156</td>\n",
" <td>17518</td>\n",
" <td>baseball,USA - MiLB AAA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>0.674386</td>\n",
" <td>0.241248</td>\n",
" <td>0.015514</td>\n",
" <td>0.557067</td>\n",
" <td>0.058203</td>\n",
" <td>0.912008</td>\n",
" <td>46910</td>\n",
" <td>basketball,Mexico - LNBP</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>0.675301</td>\n",
" <td>0.241699</td>\n",
" <td>0.024490</td>\n",
" <td>0.564118</td>\n",
" <td>0.060642</td>\n",
" <td>0.882767</td>\n",
" <td>19347</td>\n",
" <td>basketball,Dominican Republic - LNB</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>0.677503</td>\n",
" <td>0.242704</td>\n",
" <td>0.043781</td>\n",
" <td>0.556987</td>\n",
" <td>0.177440</td>\n",
" <td>0.914832</td>\n",
" <td>30042</td>\n",
" <td>basketball,International - Basketball Friendlies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.677846</td>\n",
" <td>0.242177</td>\n",
" <td>0.021177</td>\n",
" <td>0.562302</td>\n",
" <td>0.060119</td>\n",
" <td>0.737016</td>\n",
" <td>330536</td>\n",
" <td>basketball,WNBA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>0.677879</td>\n",
" <td>0.242546</td>\n",
" <td>0.113385</td>\n",
" <td>0.562932</td>\n",
" <td>0.472834</td>\n",
" <td>0.972515</td>\n",
" <td>25488</td>\n",
" <td>basketball,FIBA - AfroBasket Women</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>0.677914</td>\n",
" <td>0.242961</td>\n",
" <td>0.046884</td>\n",
" <td>0.564934</td>\n",
" <td>0.086232</td>\n",
" <td>0.675822</td>\n",
" <td>13021</td>\n",
" <td>basketball,Singapore - NBL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>0.678361</td>\n",
" <td>0.243071</td>\n",
" <td>0.077237</td>\n",
" <td>0.564407</td>\n",
" <td>0.319512</td>\n",
" <td>0.836350</td>\n",
" <td>16908</td>\n",
" <td>basketball,FIBA - Asia Cup</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>0.678583</td>\n",
" <td>0.242682</td>\n",
" <td>0.035345</td>\n",
" <td>0.565503</td>\n",
" <td>0.105629</td>\n",
" <td>0.670942</td>\n",
" <td>34907</td>\n",
" <td>basketball,Philippines - MPBL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>0.679618</td>\n",
" <td>0.243555</td>\n",
" <td>0.014339</td>\n",
" <td>0.558685</td>\n",
" <td>0.049972</td>\n",
" <td>0.856332</td>\n",
" <td>46085</td>\n",
" <td>basketball,Australia - NBL1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>0.680790</td>\n",
" <td>0.243907</td>\n",
" <td>0.149306</td>\n",
" <td>0.551195</td>\n",
" <td>0.633202</td>\n",
" <td>0.934180</td>\n",
" <td>12179</td>\n",
" <td>basketball,New Zealand - NBL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>0.681345</td>\n",
" <td>0.244301</td>\n",
" <td>0.019343</td>\n",
" <td>0.553125</td>\n",
" <td>0.018181</td>\n",
" <td>0.816287</td>\n",
" <td>13534</td>\n",
" <td>basketball,FIBA - AfroBasket</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>0.683375</td>\n",
" <td>0.244676</td>\n",
" <td>0.027801</td>\n",
" <td>0.555236</td>\n",
" <td>0.034198</td>\n",
" <td>0.633822</td>\n",
" <td>12845</td>\n",
" <td>basketball,Indonesia - IBL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>0.687267</td>\n",
" <td>0.247091</td>\n",
" <td>0.012684</td>\n",
" <td>0.542382</td>\n",
" <td>0.051167</td>\n",
" <td>0.958999</td>\n",
" <td>22191</td>\n",
" <td>basketball,USA - NBA Summer League</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>0.690497</td>\n",
" <td>0.248502</td>\n",
" <td>0.115560</td>\n",
" <td>0.534047</td>\n",
" <td>0.466528</td>\n",
" <td>0.715722</td>\n",
" <td>52707</td>\n",
" <td>basketball,FIBA - EuroBasket</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>0.692288</td>\n",
" <td>0.249291</td>\n",
" <td>0.040366</td>\n",
" <td>0.536856</td>\n",
" <td>0.077883</td>\n",
" <td>0.516146</td>\n",
" <td>16293</td>\n",
" <td>basketball,FIBA - Americup</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" logloss brier ece accuracy reg_alpha reg_beta n_samples \\\n",
"21 0.464565 0.152943 0.043543 0.762862 0.274781 0.998295 10943 \n",
"23 0.520734 0.174765 0.042646 0.727845 0.131899 0.834340 10009 \n",
"51 0.527033 0.171947 0.096160 0.746336 0.114903 0.936296 71516 \n",
"47 0.535015 0.176782 0.111219 0.738750 0.660331 0.946272 66488 \n",
"8 0.535792 0.177590 0.032241 0.727798 0.108563 0.791771 11249 \n",
"42 0.537645 0.181974 0.031149 0.705679 0.072041 0.887307 54162 \n",
"32 0.538711 0.181265 0.054371 0.730290 0.093414 0.764190 13407 \n",
"50 0.543837 0.181130 0.045055 0.734669 0.235130 0.821878 13078 \n",
"27 0.549081 0.183400 0.042721 0.724390 0.137785 0.812733 10406 \n",
"35 0.561293 0.188768 0.052492 0.706528 0.266302 0.776085 13756 \n",
"29 0.561882 0.191536 0.033802 0.695933 0.036839 0.925295 22893 \n",
"43 0.566517 0.189724 0.082218 0.713140 0.424757 0.703853 10723 \n",
"17 0.566888 0.194560 0.035359 0.695430 0.074138 1.007326 11160 \n",
"40 0.572710 0.187939 0.060116 0.718579 0.304164 0.648201 10980 \n",
"30 0.575627 0.192801 0.054032 0.707427 0.237266 0.726354 11269 \n",
"34 0.579453 0.197797 0.027817 0.685311 0.002665 0.849358 12050 \n",
"38 0.589420 0.203278 0.044250 0.664119 0.083614 0.875885 27864 \n",
"26 0.590700 0.201161 0.045602 0.676971 0.195143 0.708406 12454 \n",
"24 0.594246 0.204917 0.035847 0.674240 0.113102 0.851690 11576 \n",
"36 0.597442 0.201261 0.062009 0.705796 0.242840 0.696571 13630 \n",
"52 0.599115 0.209201 0.028903 0.643957 0.084667 1.077468 23045 \n",
"12 0.599694 0.203798 0.084088 0.676031 0.318081 0.615183 12174 \n",
"33 0.617782 0.209778 0.086492 0.686149 0.287952 0.611388 23543 \n",
"2 0.629714 0.220410 0.017822 0.628876 0.041707 0.862464 179250 \n",
"49 0.637623 0.218037 0.091674 0.664394 0.347829 0.658402 10709 \n",
"4 0.646996 0.227903 0.028335 0.614722 0.096585 0.802897 146411 \n",
"6 0.647355 0.228791 0.023958 0.602464 0.104731 0.959911 29957 \n",
"5 0.648792 0.229147 0.014266 0.612889 0.044337 0.864323 161884 \n",
"1 0.652410 0.230997 0.017813 0.599634 0.043153 0.957035 115729 \n",
"16 0.654060 0.231602 0.048484 0.595263 0.148427 0.737568 19929 \n",
"19 0.658351 0.233137 0.138689 0.615862 0.598327 1.676715 20641 \n",
"7 0.664333 0.235569 0.134413 0.604237 0.579036 0.693627 44279 \n",
"31 0.666241 0.237619 0.037123 0.576206 0.143847 1.012283 16088 \n",
"15 0.666353 0.237604 0.033884 0.581505 0.142788 0.958516 40237 \n",
"18 0.666413 0.237346 0.039730 0.588435 0.163546 0.923502 22344 \n",
"22 0.669483 0.238804 0.049444 0.574489 0.206760 0.959083 48081 \n",
"0 0.671853 0.240029 0.167908 0.569125 0.734412 0.851314 22206 \n",
"9 0.673868 0.240583 0.063336 0.579518 0.264640 0.898156 17518 \n",
"20 0.674386 0.241248 0.015514 0.557067 0.058203 0.912008 46910 \n",
"14 0.675301 0.241699 0.024490 0.564118 0.060642 0.882767 19347 \n",
"41 0.677503 0.242704 0.043781 0.556987 0.177440 0.914832 30042 \n",
"3 0.677846 0.242177 0.021177 0.562302 0.060119 0.737016 330536 \n",
"39 0.677879 0.242546 0.113385 0.562932 0.472834 0.972515 25488 \n",
"37 0.677914 0.242961 0.046884 0.564934 0.086232 0.675822 13021 \n",
"44 0.678361 0.243071 0.077237 0.564407 0.319512 0.836350 16908 \n",
"28 0.678583 0.242682 0.035345 0.565503 0.105629 0.670942 34907 \n",
"13 0.679618 0.243555 0.014339 0.558685 0.049972 0.856332 46085 \n",
"11 0.680790 0.243907 0.149306 0.551195 0.633202 0.934180 12179 \n",
"45 0.681345 0.244301 0.019343 0.553125 0.018181 0.816287 13534 \n",
"10 0.683375 0.244676 0.027801 0.555236 0.034198 0.633822 12845 \n",
"25 0.687267 0.247091 0.012684 0.542382 0.051167 0.958999 22191 \n",
"48 0.690497 0.248502 0.115560 0.534047 0.466528 0.715722 52707 \n",
"46 0.692288 0.249291 0.040366 0.536856 0.077883 0.516146 16293 \n",
"\n",
" filter_cols \n",
"21 soccer,Peru - Primera Division \n",
"23 soccer,Norway - Eliteserien \n",
"51 hockey,Russia - KHL \n",
"47 football,NCAAF \n",
"8 soccer,USA - USL Championship \n",
"42 football,NFL \n",
"32 soccer,Argentina - Primera Nacional \n",
"50 soccer,USA - Major League Soccer \n",
"27 soccer,UEFA - Europa Conference League \n",
"35 soccer,International - Club Friendlies \n",
"29 soccer,Argentina - Primera Division \n",
"43 soccer,England - League 2 \n",
"17 soccer,Finland - Veikkausliiga \n",
"40 soccer,Brazil - Copa do Brasil \n",
"30 soccer,Romania - Liga I \n",
"34 soccer,Brazil - Serie A \n",
"38 soccer,Belgium - Jupiler Pro League \n",
"26 soccer,UEFA - Champions League \n",
"24 soccer,Sweden - Allsvenskan \n",
"36 soccer,Serbia - Super Liga \n",
"52 football,CFL \n",
"12 soccer,Brazil - Serie B \n",
"33 soccer,Mexico - Liga MX \n",
"2 tennis,ATP \n",
"49 hockey,Champions Hockey League \n",
"4 tennis,WTA \n",
"6 tennis,ITF Men \n",
"5 baseball,MLB \n",
"1 tennis,ATP Challenger \n",
"16 hockey,Australia - Ice Hockey League \n",
"19 basketball,Philippines - Phillipine Cup \n",
"7 baseball,NPB \n",
"31 basketball,China - NBL \n",
"15 basketball,Australia - WNBL1 \n",
"18 basketball,Bolivia - Libobasquet \n",
"22 basketball,Puerto Rico - BSN \n",
"0 baseball,KBO \n",
"9 baseball,USA - MiLB AAA \n",
"20 basketball,Mexico - LNBP \n",
"14 basketball,Dominican Republic - LNB \n",
"41 basketball,International - Basketball Friendlies \n",
"3 basketball,WNBA \n",
"39 basketball,FIBA - AfroBasket Women \n",
"37 basketball,Singapore - NBL \n",
"44 basketball,FIBA - Asia Cup \n",
"28 basketball,Philippines - MPBL \n",
"13 basketball,Australia - NBL1 \n",
"11 basketball,New Zealand - NBL \n",
"45 basketball,FIBA - AfroBasket \n",
"10 basketball,Indonesia - IBL \n",
"25 basketball,USA - NBA Summer League \n",
"48 basketball,FIBA - EuroBasket \n",
"46 basketball,FIBA - Americup "
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"res_df = pd.DataFrame(data_list)\n",
"res_df['reg_alpha'] = abs(res_df['reg_alpha'])\n",
"res_df.sort_values(by=['logloss','brier','ece', 'reg_alpha'])"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "qa",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.18"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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