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