{ "metric_name": "spearman", "metric_value": 0.8426164139167538, "details": { "optimal_similarity_metric": "manhatten_distance", "val_scores": { "cosine_similarity": { "pearson": 0.8561010991360143, "spearman": 0.816640933451772 }, "manhatten_distance": { "pearson": 0.8538233899023175, "spearman": 0.8173500466699406 }, "euclidean_distance": { "pearson": 0.8538233899023175, "spearman": 0.8173500466699406 }, "dot_score": { "pearson": 0.8304879187538848, "spearman": 0.7769676321807759 } }, "test_scores": { "manhatten_distance": { "pearson": 0.8763180052177622, "spearman": 0.8426164139167538 } } } }