Permutation Feature Importance Doesn't Make Sense
It gives arbitrary results when faced with dependent data
It gives arbitrary results when faced with dependent data
I've got a fever! And the only prescription... is more neural networks.
One thing that has always bugged me about Bradley Terry models is that it can’t model rock-paper-scissors. Let’s see if we can fix that!
How to tell who’s the best player?
Why get many samples when LLM do trick
I solve my guilty pleasure puzzle using Julia
How to correct prevalence estimates using PPI
Calibration is an important idea in statistical prediction. However, it’s not the only thing.
I find a strange plot of p-values from a hypothesis test and investigate.
How quickly can I generate a Poisson(1) random variable?