| { | |
| "metric_name": "spearman", | |
| "metric_value": 0.8342848039994751, | |
| "details": { | |
| "optimal_similarity_metric": "manhatten_distance", | |
| "val_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.8402004412140045, | |
| "spearman": 0.7947630577888891 | |
| }, | |
| "manhatten_distance": { | |
| "pearson": 0.8359705278620446, | |
| "spearman": 0.7954996671020325 | |
| }, | |
| "euclidean_distance": { | |
| "pearson": 0.8359705278620446, | |
| "spearman": 0.7954996671020325 | |
| }, | |
| "dot_score": { | |
| "pearson": 0.8146522053769387, | |
| "spearman": 0.7576805023715597 | |
| } | |
| }, | |
| "test_scores": { | |
| "manhatten_distance": { | |
| "pearson": 0.8665411120423515, | |
| "spearman": 0.8342848039994751 | |
| } | |
| } | |
| } | |
| } |