| { | |
| "metric_name": "spearman", | |
| "metric_value": 0.8231772134744029, | |
| "details": { | |
| "optimal_similarity_metric": "cosine_similarity", | |
| "val_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.8390312744889947, | |
| "spearman": 0.8309726355825223 | |
| }, | |
| "manhatten_distance": { | |
| "pearson": 0.8439757378089565, | |
| "spearman": 0.8296746939532708 | |
| }, | |
| "euclidean_distance": { | |
| "pearson": 0.8439757378089565, | |
| "spearman": 0.8296746939532708 | |
| }, | |
| "dot_score": { | |
| "pearson": 0.8235943624962084, | |
| "spearman": 0.8066842966908715 | |
| } | |
| }, | |
| "test_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.8323321086750828, | |
| "spearman": 0.8231772134744029 | |
| } | |
| } | |
| } | |
| } |