result/Classification/scores_amazon_counterfactual_classification.json

{
    "metric_name": "macro_f1",
    "metric_value": 0.7665550732749669,
    "details": {
        "optimal_classifier_name": "logreg",
        "val_scores": {
            "knn_cosine_k_2": {
                "accuracy": 0.9098712446351931,
                "macro_f1": 0.6139035745285253
            },
            "logreg": {
                "accuracy": 0.9206008583690987,
                "macro_f1": 0.7381028328396749
            }
        },
        "test_scores": {
            "logreg": {
                "accuracy": 0.923982869379015,
                "macro_f1": 0.7665550732749669
            }
        }
    }
}