result/Classification/scores_amazon_counterfactual_classification.json

{
    "metric_name": "macro_f1",
    "metric_value": 0.7991935990685706,
    "details": {
        "optimal_classifier_name": "logreg",
        "val_scores": {
            "knn_cosine_k_2": {
                "accuracy": 0.907725321888412,
                "macro_f1": 0.6109654998349738
            },
            "logreg": {
                "accuracy": 0.9206008583690987,
                "macro_f1": 0.7553180921566123
            }
        },
        "test_scores": {
            "logreg": {
                "accuracy": 0.930406852248394,
                "macro_f1": 0.7991935990685706
            }
        }
    }
}