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{
"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": {
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"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
}
}
}
} |