config.json

{
  "model_type": "xgboost",
  "task": "regression",
  "framework": "sklearn",
  "target_variable": "PTS",
  "model_name": "NBA Performance Predictor",
  "version": "1.0.0",
  "description": "XGBoost model for predicting NBA player points per game using historical statistics and time-series features",

  "license": "MIT",
  "tags": [
    "xgboost",
    "nba",
    "sports-analytics",
    "regression",
    "time-series",
    "basketball"
  ],
  "metrics": {
    "rmse": "3-5 points",
    "r2_score": "0.6-0.8"
  },
  "input_features": [
    "Age",
    "G",
    "GS", 
    "MP",
    "FG",
    "FGA",
    "FG_1",
    "Pos_encoded",
    "Team_encoded",
    "Age_category_encoded",
    "PTS_lag_1",
    "PTS_lag_2",
    "TRB_lag_1",
    "AST_lag_1",
    "Points_per_minute_lag_1",
    "Efficiency_lag_1"
  ],
  "preprocessing": {
    "scaler": "StandardScaler",
    "encodings": {
      "position": "LabelEncoder",
      "team": "LabelEncoder",
      "age_category": "LabelEncoder"
    }
  }
}