This table presents calibration statistics across probability bins, showing the relationship between predicted probabilities and observed frequencies.

Bin # Bin Range # Samples Avg. Pred. Probability Observed Frequency Calibration Error ECE Contribution
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Calibration Metrics

Expected Calibration Error (ECE):
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Maximum Calibration Error (MCE):
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Brier Score:
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Reliability Diagram Deviation:
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⚖️ Calibration Error measures the difference between predicted probabilities and observed frequencies within each bin. A well-calibrated model should have small errors across all bins.
📈 ECE Contribution is each bin's weighted contribution to the overall Expected Calibration Error. Bins with more samples and larger errors contribute more significantly to the total calibration error.