| { | |
| "metric_name": "spearman", | |
| "metric_value": 0.743657520470515, | |
| "details": { | |
| "optimal_similarity_metric": "dot_score", | |
| "val_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.7957368400871296, | |
| "spearman": 0.762797232405231 | |
| }, | |
| "manhatten_distance": { | |
| "pearson": 0.7896085210418337, | |
| "spearman": 0.7623109878831168 | |
| }, | |
| "euclidean_distance": { | |
| "pearson": 0.7896085210418337, | |
| "spearman": 0.7623109878831168 | |
| }, | |
| "dot_score": { | |
| "pearson": 0.7957067931754913, | |
| "spearman": 0.7628188190178943 | |
| } | |
| }, | |
| "test_scores": { | |
| "dot_score": { | |
| "pearson": 0.7800093069496337, | |
| "spearman": 0.743657520470515 | |
| } | |
| } | |
| } | |
| } |