M
Marvin
Video
Confidence Intervals and Error Bars for Comparing Model Performance in Machine Learning
A confidence interval quantifies the sampling uncertainty of a performance estimate computed from a finite sample of size n: a 95% interval x̄ ± ε means that, over repeated samples of that same size n…