| { | |
| "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 | |
| } | |
| } | |
| } | |
| } |