Understanding Systematic Miscalibration in Machine Learning Classifiers

Markelle Kelly, Padhraic Smyth

View presentation: 2022-10-16T14:17:00Z GMT-0600 Change your timezone on the schedule page
Exemplar figure, described by caption below
A 2D plot with the variable "Age" on the x-axis and "% Error" on the y-axis. The plot includes two curves, with error bars, labeled as the "Actual Empirical Error" (in blue) and the "Model's Predicted Error" (in red). The red curve is significantly (by over five percentage points) higher than the blue curve around age 40, but much lower than the blue curve around age 60.

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