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ruri-base / result /Classification /scores_amazon_counterfactual_classification.json
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{
"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
}
}
}
}