{ "metric_name": "ndcg@10", "metric_value": 0.3803302462897418, "details": { "optimal_distance_metric": "euclidean_distance", "val_scores": { "cosine_similarity": { "accuracy@1": 0.25323275862068967, "accuracy@3": 0.4073275862068966, "accuracy@5": 0.47737068965517243, "accuracy@10": 0.5775862068965517, "ndcg@10": 0.4050275055597, "mrr@10": 0.35105406746031714 }, "dot_score": { "accuracy@1": 0.18426724137931033, "accuracy@3": 0.3308189655172414, "accuracy@5": 0.39870689655172414, "accuracy@10": 0.5021551724137931, "ndcg@10": 0.3312247600613045, "mrr@10": 0.2781006260262726 }, "euclidean_distance": { "accuracy@1": 0.2521551724137931, "accuracy@3": 0.41163793103448276, "accuracy@5": 0.4827586206896552, "accuracy@10": 0.5808189655172413, "ndcg@10": 0.40565667279158407, "mrr@10": 0.35095657156540727 } }, "test_scores": { "euclidean_distance": { "accuracy@1": 0.24722222222222223, "accuracy@3": 0.41944444444444445, "accuracy@5": 0.5027777777777778, "accuracy@10": 0.6166666666666667, "ndcg@10": 0.3803302462897418, "mrr@10": 0.3568121693121691 } } } }