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Performance Metrics Explorer

Metric calculation and learning tool for binary and multi-class classification. Upload your own CSV or choose a sample dataset.

1. Dataset

CSV format: two columns — y_true,y_pred (integer class labels). Optional 3rd column y_score (probability for AUC-ROC in binary classification, range 0-1).

2. Confusion Matrix

No data set has been selected yet.

3. Metrics

MetricValueFormula (summary)

4. Information about Metrics

You can click on any metric button to read its description.

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