jiaqizheng2000

automl = AutoML( ml_task="regression", train_ensemble=True, fairness_threshold=0.8, results_path=resultpath, model_time_limit=30 * 60, start_random_models=10, top_models_to_improve=3, hill_climbing_steps=3, golden_features=True, features_selection=False, stack_models=True, explain_level=2, validation_strategy={ "validation_type": "kfold", "k_folds": 4, "shuffle": False, "stratify": True,} ) automl.fit(x_train, y_train)

[example.xlsx](https://github.com/mljar/mljar-supervised/files/13870946/example.xlsx)

Simply choose the first column as y_train, and the rest as X_train