Defending the P Value in Machine Learning?

i became aware of some your thoughts on these matters when i came across your paper defending the p value. So i think we should understand what that is. The p is, of course, for a probability. And the p value is the y of seeing the observed data, or something more extreme than the observed data,. That hypothesis is typically called the null hypothesis. It witis small. An typical threshold that has been used like 100 years, is like five%. But in court of cors can be very tiny, like ten to the minus ten.