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sklearn.metrics.pairwise_distances_argmin_min()

References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise_distances_argmin_min(X, Y, axis=1, metric='euclidean', batch_size=500, metric_kwargs=None)

2025-01-10 15:47:30

sklearn.metrics.label_ranking_loss()

References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.label_ranking_loss(y_true, y_score, sample_weight=None)

2025-01-10 15:47:30

sklearn.metrics.recall_score()

References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.recall_score(y_true, y_pred, labels=None, pos_label=1, average='binary', sample_weight=None)

2025-01-10 15:47:30

sklearn.metrics.roc_auc_score()

References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.roc_auc_score(y_true, y_score, average='macro', sample_weight=None)

2025-01-10 15:47:30

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