Line Plot from Scientific Research

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Calibration curves of pre-calibration (left) and post-calibration (right) scores, showing that sample composition can be used to map classification scores to actual probabilities. The x axis represents scores averaged across multiple bins; the y axis represents the fraction of positives in each bin; the 45 dashed line represents a perfect calibration scenario. freq., frequency; MAE, mean absolute error of the scores relative to the true probabilities.
#Line Plot#Calibration Curves#Pre-Calibration Scores#Post-Calibration Scores#Sample Composition#Classification Scores#Probabilities#Frequency#Mean Absolute Error
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