{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# Importing the libraries\nimport pandas as pd\nimport numpy as np\nfrom matplotlib import pyplot\nfrom IPython.core.display import display, HTML, Javascript\n\nimport warnings\nwarnings.simplefilter(action='ignore', category=FutureWarning)\n\nfrom pandas.core.common import SettingWithCopyWarning\nwarnings.simplefilter(action=\"ignore\", category=SettingWithCopyWarning)\n\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport plotly.express as px\n\nimport plotly as py\nimport plotly.graph_objects as go\n\nimport plotly.io as pio\npio.templates\n\nfrom sklearn.model_selection import TimeSeriesSplit\n\nimport xgboost as xgb\nfrom sklearn.metrics import mean_squared_error\n\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.linear_model import Lasso\nfrom sklearn.linear_model import ElasticNet\nfrom sklearn.tree import DecisionTreeRegressor\nfrom sklearn.neighbors import KNeighborsRegressor\nfrom sklearn.svm import SVR\nfrom sklearn.ensemble import RandomForestRegressor\nfrom sklearn.ensemble import GradientBoostingRegressor\nfrom sklearn.ensemble import ExtraTreesRegressor\nfrom sklearn.ensemble import AdaBoostRegressor\n\ncolor_pal = sns.color_palette()\nplt.style.use('fivethirtyeight')\n\n# pandas setting\npd.set_option('display.max_columns', None)\n# pd.options.display.float_format = '{:.9f}'.format","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:21.784571Z","iopub.execute_input":"2022-11-07T11:09:21.785034Z","iopub.status.idle":"2022-11-07T11:09:23.991741Z","shell.execute_reply.started":"2022-11-07T11:09:21.784948Z","shell.execute_reply":"2022-11-07T11:09:23.990838Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Helping function\n\ndef chartHeader01(text,desc=\"\",\n fontsize=28,\n fontfamily='Garamond',\n fontweight='Bold',\n color='#3D5A80'):\n '''\n returns a styled header\n '''\n chart_title = \"{0}\".format(text,fontsize,fontfamily,fontweight,color)\n chart_desc = \"{0}\".format(desc)\n chart_text = chart_title + \"
\" + chart_desc\n return chart_text\n\ndef styledict01(hover_background = '#E7B4A5',hover_color = '#F6F5F4',\n header_background = '#3D5A80',header_color = '#F6F5F4',header_font = 'Garamond',header_border = \"1px solid #eee\",\n header_padding=None,header_border_collapse=\"collapse\",header_text_transform = None, header_fontsize = '14px', header_width = \"100px\",header_textalign='center',\n td_color = \"#3D5A80\", td_border=\"1px solid #eee\", td_align=\"center\", td_padding = \"10px 35px\", td_border_collapse=\"collapse\",td_fontsize=\"13px\",td_fontfamily=\"Helvetica\"\n ):\n stylesdict1 = [\n dict(selector=\"tr:hover\",props=[(\"background\", hover_background),\n (\"color\", hover_color),\n ]),\n dict(selector=\"th\", props=[(\"color\", header_color),\n (\"font-family\", header_font),\n (\"border\", header_border),\n (\"padding\", header_padding),\n (\"border-collapse\",header_border_collapse),\n (\"background\", header_background),\n (\"text-transform\",header_text_transform),\n (\"font-size\", header_fontsize),\n (\"max-width\", header_width),\n (\"text-align\",header_textalign)\n ]),\n dict(selector=\"td\", props=[(\"color\", td_color),\n (\"border\", td_border),\n (\"text-align\",td_align),\n (\"padding\", td_padding), # \"12px 35px\"\n (\"border-collapse\", td_border_collapse),\n (\"font-size\", td_fontsize),\n (\"font-family\",td_fontfamily)\n ]),\n dict(selector=\"caption\", props=[(\"caption-side\", \"top\"),\n (\"text-align\",\"left\")])\n ]\n return stylesdict1\n\ndef create_features(df):\n \"\"\"\n Create time series features based on time series index.\n \"\"\"\n df['dayofweek'] = df.index.dayofweek\n df['quarter'] = df.index.quarter\n df['month'] = df.index.month\n df['dayofyear'] = df.index.dayofyear\n df['dayofmonth'] = df.index.day\n return df","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:23.993418Z","iopub.execute_input":"2022-11-07T11:09:23.993905Z","iopub.status.idle":"2022-11-07T11:09:24.007761Z","shell.execute_reply.started":"2022-11-07T11:09:23.993876Z","shell.execute_reply":"2022-11-07T11:09:24.006874Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Introduction\n\nI'm exploring horse racing for the first time, and one thing that attracted me the most was the resilience the jockey has to have. During the race, the jockey has to balance weight on the toes, which are pressed tightly into a thin metal stirrup, while guiding an animal weighing more than 1,000 pounds around a race track at nearly 40 miles per hour.\n\nDuring a race, only the insides of his feet and ankles are in constant contact with the horse. He is effectively floating in midair while holding a rein that acts as his steering wheel. But, unlike a steering wheel, it's not attached to a chassis.\n\nIf the horse stumbles or the jockey loses his balance, there is nothing firm to hold. A racehorse's neck tends to be slippery and in perpetual motion. And if he falls, his life can change in an instant. Still, they risk their lives and livelihood each time they ride a horse.","metadata":{}},{"cell_type":"code","source":"# file paths\ndf_file = '../input/big-data-derby-2022-feature-engg-start-race/fe_combo_start_race_v2.1.parquet'\n\nelo_hist_file = '../input/feature-engg-bdd-jockey-rating/overall_elo_history.csv'\n\neod_elo_hist_file = '../input/feature-engg-bdd-jockey-rating/overall_eod_elo_hist.csv'\n\ncurrent_elo_file = '../input/feature-engg-bdd-jockey-rating/overall_current_elo.csv'\n\nohlc_elo_file = '../input/feature-engg-bdd-jockey-rating/overall_ohlc_elo_hist.csv'\n\n# combined start and race table with derived features\n# https://www.kaggle.com/datasets/asksawant/big-data-derby-2022-feature-engg-start-race\ndf = pd.read_parquet(df_file)\n\nmldf = pd.read_parquet(df_file)\n\n# jockey multi elo rating files\n# https://www.kaggle.com/datasets/asksawant/feature-engg-bdd-jockey-rating\n\n# Overall multi elo rating without considering race_type class\nelo_hist = pd.read_csv(elo_hist_file)\ncurrent_elo = pd.read_csv(current_elo_file)\neod_elo_hist = pd.read_csv(eod_elo_hist_file)\nohlc_elo_hist = pd.read_csv(ohlc_elo_file)","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:24.009379Z","iopub.execute_input":"2022-11-07T11:09:24.009695Z","iopub.status.idle":"2022-11-07T11:09:24.553942Z","shell.execute_reply.started":"2022-11-07T11:09:24.009665Z","shell.execute_reply":"2022-11-07T11:09:24.552786Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Performance of Jockey at the end of the year 2019\n\nIn 2019 total of 178 jockeys participated in racing, of which Manuel Franco is the highest-appearing jockey with 1274 total races and 16.8 winning per cent in the year 2019.
Jose Lezcano has the highest winning per cent of 20.81% and 990 total appearances in 2019.\nHere is the overall performance of the top 10 highest-appearing jockeys. I will explain the Elo rating in the Elo rating section.\n\n*Note: The table displays the Elo rating of the jockey at the end of the year.*","metadata":{}},{"cell_type":"code","source":"# List of top 10 jockeys with highest appearance\nt10_list = pd.DataFrame(df['jockey'].value_counts()).reset_index().head(10)['index'].unique()\n\n# pivot table for overall performance of the jockey\npt01 = df.pivot_table(values='race_number',index=['jockey'],columns=['final_place'],aggfunc='count',fill_value=0)\npt01['No. of appearance in the year 2019'] = pt01.sum(axis=1)\npt01['No. of appearance in top 3 in a race'] = pt01[1] + pt01[2] + pt01[3]\npt01 = pt01.drop(columns=[2,3,4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], axis=1)\npt01['Win percent'] = (pt01[1]/pt01['No. of appearance in the year 2019']).map('{:.2%}'.format)\npt01.reset_index(inplace=True)\npt02 = current_elo.sort_values(by=['n_games'],ascending=False).head(10)\npt01 = pd.merge(pt01,pt02[['jockey','rating']],how='left',on=['jockey'])\npt01.rename(columns={'jockey':'Jockey',1:'No. of wins in the year 2019','rating':'Elo Rating'},inplace=True)\npt01 = pt01[['Jockey', 'No. of appearance in the year 2019', 'No. of wins in the year 2019',\n 'No. of appearance in top 3 in a race', 'Win percent','Elo Rating']]\n\ndf_title = 'Top 10 jockeys with highest appearance'\n# df_desc = 'Manuel Franco is the highest-appearing jockey with 1274 total races and 16.8 winning per cent.
Jose Lezcano has the highest winning per cent of 20.81 and 990 total appearances in the year 2019'\ndf_header = chartHeader01(df_title,fontsize=18)\ndisplay(pt01.sort_values(by=['No. of appearance in the year 2019'],ascending=False).head(10).style\\\n .set_table_styles(styledict01())\\\n .hide_index()\\\n .set_caption(df_header)\\\n .bar(subset=['Elo Rating'], color='#98C1D9'))","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:24.557342Z","iopub.execute_input":"2022-11-07T11:09:24.558301Z","iopub.status.idle":"2022-11-07T11:09:24.678148Z","shell.execute_reply.started":"2022-11-07T11:09:24.558255Z","shell.execute_reply":"2022-11-07T11:09:24.677058Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The table does not show how the jockey performed from the start to the end of 2019. One solution is to calculate the win per cent and loss per cent after each race; still, it does not give the complete picture of the performance. Horse racing is a multiplayer game, and the implementation of other jockeys also influences the race's outcome. This is why we will use a multiplayer Elo rating to see the jockey's performance.","metadata":{}},{"cell_type":"markdown","source":"## Elo rating of the jockey\n\nThe essential characteristic of the Elo rating system is that performance is not measured absolutely but inferred from wins, losses and draws against other players of varying ratings. In other words, players' ratings depend on their performance and the ratings of their opponents.\n\nThe Elo rating system is a method for calculating the relative skill levels of players in zero-sum games such as chess, and it's been applied to many other games. As the horse race has multiple participants, we can not use the standard Elo rating, which is used for two-player games. Therefore, we will use a Multi-Elo rating system for our purpose.\n\nSimply put, winning the races consistently will improve the rating and constantly losing hurts it. You gain more points when you win against stronger players and gain fewer when you win against weaker players than you. You lose more points against weaker players and fewer when you lose against stronger players than you.\n\nThe score function used for analysis is exponential instead of a linear scoring function, as horsing racing rewards more to the winner, and the prize reduces exponentially as we go down the line. \nFor example, The purse is typically divided with 60% going to the winner, 20% going to second place, 10% going to third place, fourth place receiving 5%, and 2.5%. Any horse that finishes sixth or worse gets the remainder.\nImproving from 2nd to 1st place is worth more than improving from 5th to 4th place - exponential score function. The linear score function doesn't care whether you finish near the top or the bottom — improving from 5th place to 4th is just as valuable as improving from 2nd to 1st.\n\nFor more information about how multi elo rating works, see this [blog post](https://towardsdatascience.com/developing-a-generalized-elo-rating-system-for-multiplayer-games-b9b495e87802). Multi Elo rating is calculate using this [package.](https://github.com/djcunningham0/multielo)\n\n[Here is the notebook](https://www.kaggle.com/asksawant/bdd-fe-jockey-rating/) used for calculating the jockey rating.","metadata":{}},{"cell_type":"code","source":"df_title = 'What was the highest Elo achieved during the year?'\ndf_header = chartHeader01(df_title,fontsize=18)\ndisplay(elo_hist[elo_hist['rating'] == elo_hist['rating'].max()].style\\\n .set_table_styles(styledict01())\\\n .hide_index()\\\n .set_caption(df_header))\n\ndf_title = 'What was the lowest Elo achieved during the year?'\ndf_header = chartHeader01(df_title,fontsize=18)\ndisplay(elo_hist[elo_hist['rating'] == elo_hist['rating'].min()].style\\\n .set_table_styles(styledict01())\\\n .hide_index()\\\n .set_caption(df_header))\n\npt01 = elo_hist[elo_hist['jockey'].isin(t10_list)].groupby('jockey').agg(total=pd.NamedAgg(column='rating',aggfunc='count'),\n end=pd.NamedAgg(column='rating',aggfunc='last'),\n high=pd.NamedAgg(column='rating',aggfunc='max'),\n low=pd.NamedAgg(column='rating',aggfunc='min'))\\\n .sort_values(by=['total'],ascending=False)\\\n .reset_index()\n\npt01.rename(columns={'jockey':'Jockey',\n 'total':'Number of appearance',\n 'end': 'Rating at end of the year',\n 'high': 'Highest rating during the year',\n 'low' : 'Lowest rating during the year'\n },inplace=True)\n\ndf_title = 'Elo rating snapshot of top 10 highest appearance jockeys'\ndf_header = chartHeader01(df_title,fontsize=18)\ndisplay(pt01.style\\\n .set_table_styles(styledict01())\\\n .hide_index()\\\n .set_caption(df_header)\n .bar(subset=['Number of appearance', 'Rating at end of the year','Highest rating during the year', 'Lowest rating during the year'], color='#98C1D9'))\n\n","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:24.679637Z","iopub.execute_input":"2022-11-07T11:09:24.680019Z","iopub.status.idle":"2022-11-07T11:09:24.727072Z","shell.execute_reply.started":"2022-11-07T11:09:24.679988Z","shell.execute_reply":"2022-11-07T11:09:24.726102Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pt01 = eod_elo_hist[eod_elo_hist['jockey'].isin(t10_list)]\npt01.rename(columns={'jockey':'Jockey',\n 'race_date':'Date',\n 'rating':'Rating'},inplace=True)\n\ntitle_format = \"End of the day Elo rating of top 10 highest appearning jockeys\"\n\nfig = px.line(pt01,x=\"Date\", y=\"Rating\", color='Jockey', markers=True,template='ggplot2',title=title_format)\nfig.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:24.728551Z","iopub.execute_input":"2022-11-07T11:09:24.728898Z","iopub.status.idle":"2022-11-07T11:09:26.019892Z","shell.execute_reply.started":"2022-11-07T11:09:24.728868Z","shell.execute_reply":"2022-11-07T11:09:26.019005Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"jockey = 'Manuel Franco'","metadata":{"execution":{"iopub.status.busy":"2022-11-07T11:09:26.021181Z","iopub.execute_input":"2022-11-07T11:09:26.021696Z","iopub.status.idle":"2022-11-07T11:09:26.026245Z","shell.execute_reply.started":"2022-11-07T11:09:26.021664Z","shell.execute_reply":"2022-11-07T11:09:26.025293Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"johlc_df = ohlc_elo_hist[(ohlc_elo_hist['jockey'] == jockey)].reset_index(drop=True)\njohlc_df = johlc_df.sort_values(by=['race_date']).reset_index(drop=True)\nfig = go.Figure(data=[go.Candlestick(x=johlc_df['race_date'],\n open=johlc_df['open'],\n high=johlc_df['high'],\n low=johlc_df['low'],\n close=johlc_df['close'])])\n\ntitle_format = \"Candlestick of Jockey Elo rating \"\nfig.update_layout(template='ggplot2', title=title_format)\nfig.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:26.027858Z","iopub.execute_input":"2022-11-07T11:09:26.028463Z","iopub.status.idle":"2022-11-07T11:09:26.077589Z","shell.execute_reply.started":"2022-11-07T11:09:26.028432Z","shell.execute_reply":"2022-11-07T11:09:26.076346Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"*Note: Till now, we have used only `race_date`, `race_number`, `jockey`, and `final_place`; we haven't touched any other dimension of the dataset yet. But before touching any different dimension, Let's try to predict the Elo rating.*","metadata":{}},{"cell_type":"markdown","source":"## Time series forecasting of Elo rating and the trend of the Elo Rating.\n\nIn the previous section, we understood that an increase in Elo rating indicated that a jockey performs better than other jockeys and vice versa. Predicting the Elo rating or correctly classifying whether the Elo rating will increase, decrease or remain constant compared to the previous rating might help stakeholders in horse racing understand how jockeys might perform in the coming days.Many factors might influence the horse race, and correctly forecasting each element can be difficult. Every horse race event is different, and we do not have control over the external or internal factors affecting the race.\n\nOne of the critical attributes of a good jockey is that he is a razor-sharp planner. He understands the peculiarities of his horse, the tendencies of the other horses and jockeys, track conditions, and whether there are any advantages or disadvantages and plans accordingly. There might be conditions for which the jockey also can not plan, but still, he has a better understanding of horse races than all of us.\nIf he can handle the conditions better,he will increase his win chances and indirectly increases his Elo rating.\n\n**Problem Definition**:\nIt is a time series forecasting Elo's rating for Manuel Franco using historical Elo's rating. The evaluation metric for the problem root means square error (RSME). The target column is the rating of the jockey after the race.\n\n**Selecting the features for model**
\nKeeping the model simple, we will be using only historical Elo rating for predicting the Future.\n\n- `rating` - Elo rating of the Manuel Franco after the race. Also the **Target** Column\n- `prev_rating` - Elo rating of the Manuel Franco before the race\n- `race_date` - Date of the race","metadata":{}},{"cell_type":"code","source":"print('Time Series forecasting of Elo rating for Manuel Franco \\n')\n\nprint('Step 1. Data Preparation \\n')\nprint('- Selecting Manuel Franco: Done \\n')\n# Selecting 'Manuel Franco' from the jockey\n# we will be doing the prediction for Manuel Franco\nmldf1 = mldf[mldf['jockey'] == 'Manuel Franco'].reset_index(drop=True)\n\n# Selecting the training and target features\nprint('- Selecting the training and target feature: Done \\n')\nmldf2 = mldf1[['race_date','prev_rating','rating']]\n\n# Finding the missing values\nprint('- Finding the missing values: Done \\n')\nprint('- Missing Values are:')\nprint(mldf2.isnull().sum())\n\n# setting the race_date as index column\nprint('\\n- Setting the race_date as index: Done \\n')\nmldf2 = mldf2.set_index('race_date')\nmldf2.index = pd.to_datetime(mldf2.index)\n\n# Adding derived features from date column\nprint('- Adding derived features from date column: Done \\n')\nmldf2 = create_features(mldf2)\n\n# adding day before yesterday rating\nprint('- Adding day before yesterday rating: Done \\n')\nmldf2['p1rating'] = mldf2['prev_rating'].shift(fill_value=1000)\n\n# printing the scatter plot\nprint('- Elo rating of Manuel Franco during the year\\n')\nfig, ax1 = plt.subplots(1,1,figsize=(12,5))\nsns.scatterplot(data=mldf2, x=mldf2.index, y='rating', ax=ax1)\nax1.set_title('Elo rating of Manuel Franco')\nplt.show()\n\nfig = px.histogram(mldf2, x=\"rating\",\n title = 'Histogram of rating',\n width = 600,\n height = 400,\n template='ggplot2')\nfig.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:26.079303Z","iopub.execute_input":"2022-11-07T11:09:26.080087Z","iopub.status.idle":"2022-11-07T11:09:26.492512Z","shell.execute_reply.started":"2022-11-07T11:09:26.080043Z","shell.execute_reply":"2022-11-07T11:09:26.491597Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Time Series Cross Validation\n","metadata":{}},{"cell_type":"code","source":"tss = TimeSeriesSplit(n_splits=5)\nmldf2 = mldf2.sort_index()\n\nfig, axs = plt.subplots(5, 1, figsize=(15, 15), sharex=True)\n\nfold = 0\nfor train_idx, val_idx in tss.split(mldf2):\n train = mldf2.iloc[train_idx]\n test = mldf2.iloc[val_idx]\n train['rating'].plot(ax=axs[fold],\n label='Training Set',\n title=f'Data Train/Test Split Fold {fold}')\n test['rating'].plot(ax=axs[fold],\n label='Test Set')\n axs[fold].axvline(test.index.min(), color='black', ls='--')\n fold += 1\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:26.495143Z","iopub.execute_input":"2022-11-07T11:09:26.495659Z","iopub.status.idle":"2022-11-07T11:09:28.136426Z","shell.execute_reply.started":"2022-11-07T11:09:26.495629Z","shell.execute_reply":"2022-11-07T11:09:28.135052Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Model Training\n\nTraining using Algorithms\n- LinearRegression\n- Lasso\n- ElasticNet\n- AdaBoostRegressor\n- GradientBoostRegressor\n- RandomForestRegressor\n- ExtraTreesRegressor\n- XGBoost","metadata":{}},{"cell_type":"code","source":"def training(model,mldf2,n,feature,target):\n \n '''\n Function returns the score and rating trend classification accuracy\n '''\n \n tss = TimeSeriesSplit(n_splits=n)\n mldf2 = mldf2.sort_index()\n\n\n fold = 0\n preds = []\n scores = []\n for train_idx, val_idx in tss.split(mldf2):\n train = mldf2.iloc[train_idx]\n test = mldf2.iloc[val_idx]\n\n FEATURES = feature\n TARGET = target\n\n X_train = train[FEATURES]\n y_train = train[TARGET]\n\n X_test = test[FEATURES]\n y_test = test[TARGET]\n\n reg = model\n \n reg.fit(X_train, y_train)\n\n y_pred = reg.predict(X_test)\n preds.append(y_pred)\n score = np.sqrt(mean_squared_error(y_test, y_pred))\n scores.append(score)\n \n test['prediction'] = y_pred\n return scores","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:28.138174Z","iopub.execute_input":"2022-11-07T11:09:28.138846Z","iopub.status.idle":"2022-11-07T11:09:28.150359Z","shell.execute_reply.started":"2022-11-07T11:09:28.138801Z","shell.execute_reply":"2022-11-07T11:09:28.149170Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Spot-Check Algorithms\nmodels = []\nmodels.append(('LR', LinearRegression()))\nmodels.append(('LASSO', Lasso()))\nmodels.append(('EN', ElasticNet()))\n# models.append(('KNN', KNeighborsRegressor()))\n# models.append(('CART', DecisionTreeRegressor()))\n# models.append(('SVR', SVR()))\nmodels.append(('AB',AdaBoostRegressor()))\nmodels.append(('GBM',GradientBoostingRegressor()))\nmodels.append(('RF',RandomForestRegressor()))\nmodels.append(('ET',ExtraTreesRegressor()))","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:28.152400Z","iopub.execute_input":"2022-11-07T11:09:28.153418Z","iopub.status.idle":"2022-11-07T11:09:28.162999Z","shell.execute_reply.started":"2022-11-07T11:09:28.153357Z","shell.execute_reply":"2022-11-07T11:09:28.161821Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"results = []\nnames = []\nfeature = ['prev_rating','p1rating','dayofweek','quarter', 'month', 'dayofyear','dayofmonth']\ntarget = 'rating'\n\nfor name, model in models:\n model_score = training(model,mldf2,5,feature,target)\n results.append(model_score)\n names.append(name)\n msg = \"%s: %f\" % (name, np.mean(model_score))\n print(msg)\n print(model_score)\n \nprint('\\nXGBoost\\n')\n\ntss = TimeSeriesSplit(n_splits=5)\nmldf2 = mldf2.sort_index()\n\n\nfold = 0\npreds = []\nscores = []\nfor train_idx, val_idx in tss.split(mldf2):\n train = mldf2.iloc[train_idx]\n test = mldf2.iloc[val_idx]\n\n FEATURES = ['prev_rating','p1rating','dayofweek','quarter', 'month', 'dayofyear','dayofmonth']\n TARGET = 'rating'\n\n X_train = train[FEATURES]\n y_train = train[TARGET]\n\n X_test = test[FEATURES]\n y_test = test[TARGET]\n\n reg = xgb.XGBRegressor(base_score=0.5, booster='gbtree', \n n_estimators=3000,\n early_stopping_rounds=50,\n max_depth=4,\n learning_rate=0.01)\n \n reg.fit(X_train, y_train,\n eval_set=[(X_train, y_train), (X_test, y_test)],\n verbose=100)\n\n y_pred = reg.predict(X_test)\n preds.append(y_pred)\n score = np.sqrt(mean_squared_error(y_test, y_pred))\n scores.append(score)\n\ntest['prediction'] = y_pred\ntest = test.reset_index()\n\nprint(f'Score across folds {np.mean(scores):0.4f}')\nprint(f'Fold scores:{scores}')\nresults.append(scores)\nnames.append('XGB')","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:28.164458Z","iopub.execute_input":"2022-11-07T11:09:28.164940Z","iopub.status.idle":"2022-11-07T11:09:51.181839Z","shell.execute_reply.started":"2022-11-07T11:09:28.164880Z","shell.execute_reply":"2022-11-07T11:09:51.180981Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ax = test['rating'].plot(figsize=(15, 5), title='Test Data',style='+')\ntest['prediction'].plot(style='.')\nplt.legend(['Truth Data','Prediction'])\nplt.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:51.183495Z","iopub.execute_input":"2022-11-07T11:09:51.184191Z","iopub.status.idle":"2022-11-07T11:09:51.434433Z","shell.execute_reply.started":"2022-11-07T11:09:51.184155Z","shell.execute_reply":"2022-11-07T11:09:51.433127Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Compare Algorithms\nfig = pyplot.figure()\nfig.suptitle('Algorithm Comparison')\nax = fig.add_subplot(111)\npyplot.boxplot(results)\nax.set_xticklabels(names)\npyplot.show()","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-11-07T11:09:51.435855Z","iopub.execute_input":"2022-11-07T11:09:51.436242Z","iopub.status.idle":"2022-11-07T11:09:51.700472Z","shell.execute_reply.started":"2022-11-07T11:09:51.436210Z","shell.execute_reply":"2022-11-07T11:09:51.699248Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Model conclusion\nLasso algorithm gave the best rmse score of 28.072 compared to other regression algorithms. This is a basic model, and we have only used historical ratings for forecasting the rating after the race. We can also experiment by adding other features to the dataset for training the model.\nApart from predicting the rating, we can also try the classification approach. \nClassifying the Elo rating will increase, decrease or remain constant in the future may help the jockey to understand how he is performing compared to others, and he can plan accordingly for the coming days.\n[Here is the Dashboard](https://app.powerbi.com/view?r=eyJrIjoiMTVmNGY5NzQtOGI2Ny00NzgxLTk4ODItZDExODM4N2U0YjQzIiwidCI6IjU3OGQ5ZjNlLTlkMTItNDBiMi1hNjJlLWI3NzdiZGYyNTVhMiJ9)","metadata":{}},{"cell_type":"markdown","source":"![Screenshot 2022-11-11 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