``'weighted'``: Calculate metrics for each label, and find their average, weighted by support (the number of true instances for each label). This alters 'macro' ... ... <看更多>

precision recall f1-score support 1 0.50 0.67 0.57 3 2 0.33 1.00 0.50 1 3 1.00 0.25 0.40 4 accuracy 0.50 8 macro avg 0.61 0.64 0.49 8 ... ... <看更多>

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def streaming_counts(y_true, y_pred, num_classes):. """Computes the TP, FP and FN counts for the micro and macro f1 scores. The weighted ... ... <看更多>