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I really like yardstick's API for computing discrimination. Calibration is also an important metric for classification models. Is there any interest in developing some yardstick functions to compute a calibration statistic?
Frank Harrell's Unreliability index seems like a good candidate. The Unreliability index is a chi-square statistic with 2 degrees of freedom testing the hypothesis that calibration slope and intercept are ideal (i.e., the slope is 1, the intercept is 0).
The text was updated successfully, but these errors were encountered:
I really like
yardstick
's API for computing discrimination. Calibration is also an important metric for classification models. Is there any interest in developing someyardstick
functions to compute a calibration statistic?Frank Harrell's Unreliability index seems like a good candidate. The Unreliability index is a chi-square statistic with 2 degrees of freedom testing the hypothesis that calibration slope and intercept are ideal (i.e., the slope is 1, the intercept is 0).
The text was updated successfully, but these errors were encountered: