{ "metric_name": "ndcg@10", "metric_value": 0.8768878489670099, "details": { "optimal_distance_metric": "euclidean_distance", "val_scores": { "cosine_similarity": { "accuracy@1": 0.82, "accuracy@3": 0.94, "accuracy@5": 0.96, "accuracy@10": 0.96, "ndcg@10": 0.8990879114471843, "mrr@10": 0.8783333333333333 }, "dot_score": { "accuracy@1": 0.68, "accuracy@3": 0.81, "accuracy@5": 0.88, "accuracy@10": 0.96, "ndcg@10": 0.8092872591620544, "mrr@10": 0.7623293650793651 }, "euclidean_distance": { "accuracy@1": 0.85, "accuracy@3": 0.94, "accuracy@5": 0.96, "accuracy@10": 0.97, "ndcg@10": 0.9113031320591165, "mrr@10": 0.8921666666666667 } }, "test_scores": { "euclidean_distance": { "accuracy@1": 0.801980198019802, "accuracy@3": 0.8935643564356436, "accuracy@5": 0.9331683168316832, "accuracy@10": 0.948019801980198, "ndcg@10": 0.8768878489670099, "mrr@10": 0.8536637592330663 } } } }