sklearn.metrics.jaccard_similarity_score()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.jaccard_similarity_score(y_true, y_pred, normalize=True, sample_weight=None)

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sklearn.metrics.adjusted_rand_score()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.adjusted_rand_score(labels_true, labels_pred)

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sklearn.metrics.normalized_mutual_info_score()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.normalized_mutual_info_score(labels_true, labels_pred)

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sklearn.metrics.classification_report()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.classification_report(y_true, y_pred, labels=None, target_names=None, sample_weight=None, digits=2)

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sklearn.metrics.precision_score()
  • References/Python/scikit-learn/API Reference/metrics

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

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sklearn.metrics.pairwise.paired_cosine_distances()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise.paired_cosine_distances(X, Y)

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sklearn.metrics.pairwise.cosine_distances()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise.cosine_distances(X, Y=None)

2025-01-10 15:47:30
sklearn.metrics.precision_recall_curve()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.precision_recall_curve(y_true, probas_pred, pos_label=None, sample_weight=None)

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sklearn.metrics.pairwise.cosine_similarity()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.pairwise.cosine_similarity(X, Y=None, dense_output=True)

2025-01-10 15:47:30
sklearn.metrics.average_precision_score()
  • References/Python/scikit-learn/API Reference/metrics

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

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