| { | |
| "metric_name": "spearman", | |
| "metric_value": 0.8343927017558587, | |
| "details": { | |
| "optimal_similarity_metric": "cosine_similarity", | |
| "val_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.8446183563656585, | |
| "spearman": 0.8367170844896946 | |
| }, | |
| "manhatten_distance": { | |
| "pearson": 0.8472993028173297, | |
| "spearman": 0.8343797412370403 | |
| }, | |
| "euclidean_distance": { | |
| "pearson": 0.8472993028173297, | |
| "spearman": 0.8343797412370403 | |
| }, | |
| "dot_score": { | |
| "pearson": 0.8211250471651956, | |
| "spearman": 0.8029357210718526 | |
| } | |
| }, | |
| "test_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.8400443214276277, | |
| "spearman": 0.8343927017558587 | |
| } | |
| } | |
| } | |
| } |