Danselem
/
weather_health
connected to https://github.com/Danselem/weather_health.git


  
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            modeling:
  n_trials: 5
  model_family: logistic_regression # gradient_boosting #random_forest # , logistic_regression, hist_gradient_boosting, lightgbm
  objective_function: Logloss # Logloss, CrossEntropy
  loss_function: F1 # Precision, F1, Accuracy

data:
  raw_data_path: data/raw/Weather-related disease prediction.csv
  interim_data_path: data/interim/weather_disease.parquet
  x_train_path: data/processed/x_train.csv
  y_train_path: data/processed/y_train.csv
  x_test_path: data/processed/x_test.csv
  y_test_path: data/processed/y_test.csv
  output_dir: data/processed

  target_col: prognosis

directories:
  model_dir: models
  processed_data_dir: data/processed
  reports_dir: reports

eda:
  output_prefix: weather-health-eda

artifacts:
  model_path: models/weather_disease_model.pkl
  scaler_path: data/processed/minmax_scaler.pkl
  label_encoder_path: data/processed/label_encoder.pkl

reports:
  model_metrics_path: reports/model_metrics.csv
  predictions_path: reports/predictions.csv
  feature_importance_path: reports/feature_importance.png
  confusion_matrix_path: reports/confusion_matrix.png
  classification_report_path: reports/classification_report.txt