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@ -99,7 +99,7 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
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'shot_open_goal','shot_follows_dribble', 'shot_redirect',
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'shot_open_goal','shot_follows_dribble', 'shot_redirect',
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'x1', 'y1','number_of_players_opponents',
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'x1', 'y1','number_of_players_opponents',
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'number_of_players_teammates','angle', 'distance',
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'number_of_players_teammates','angle', 'distance',
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'x_player_opponent_Goalkeeper',
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'x_player_opponent_Goalkeeper', 'x_player_opponent_8',
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'x_player_opponent_1', 'x_player_opponent_2','x_player_opponent_3',
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'x_player_opponent_1', 'x_player_opponent_2','x_player_opponent_3',
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'x_player_opponent_4','x_player_opponent_5', 'x_player_opponent_6',
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'x_player_opponent_4','x_player_opponent_5', 'x_player_opponent_6',
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'x_player_teammate_2','x_player_opponent_9', 'x_player_opponent_10',
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'x_player_teammate_2','x_player_opponent_9', 'x_player_opponent_10',
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@ -156,7 +156,7 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
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shot_open_goal,shot_follows_dribble, shot_redirect,
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shot_open_goal,shot_follows_dribble, shot_redirect,
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shooter[0], shooter[1],number_of_players_opponents,
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shooter[0], shooter[1],number_of_players_opponents,
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number_of_players_teammates,angle, distance,
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number_of_players_teammates,angle, distance,
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x_player_opponent_Goalkeeper,
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x_player_opponent_Goalkeeper, opponentsList[8][0],
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opponentsList[0][0], opponentsList[1][0], opponentsList[2][0],
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opponentsList[0][0], opponentsList[1][0], opponentsList[2][0],
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opponentsList[3][0], opponentsList[4][0], opponentsList[5][0],
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opponentsList[3][0], opponentsList[4][0], opponentsList[5][0],
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opponentsList[6][0], opponentsList[7][0], teamMatesList[8][0],
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opponentsList[6][0], opponentsList[7][0], teamMatesList[8][0],
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@ -176,6 +176,9 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
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x_player_teammate_Goalkeeper, y_player_teammate_Goalkeeper,
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x_player_teammate_Goalkeeper, y_player_teammate_Goalkeeper,
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shot_kick_off]
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shot_kick_off]
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categorical_columns = ['position_name', 'shot_technique_name', 'shot_type_name', 'number_of_players_opponents', 'number_of_players_teammates', 'shot_body_part_name'] # list all your object columns here
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# X_new = pd.get_dummies(X_new, columns=categorical_columns)
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X_new[categorical_columns] = X_new[categorical_columns].astype('category')
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return model.predict_proba(X_new)[0][1].round(2)
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return model.predict_proba(X_new)[0][1].round(2)
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