On Optimal Threshold for Maximizing F1 Score
May 15, 2021 | 9 min readThis post attempts to take a deeper look at F1 score. Do you know that, for calibrated classifiers, the optimal threshold is half the max F1? How come? Here it's explained.
Under the sea, in the hippocampus's garden...
This post attempts to take a deeper look at F1 score. Do you know that, for calibrated classifiers, the optimal threshold is half the max F1? How come? Here it's explained.
コロナ以前に書かれた「広義・新型コロナウイルス関連書籍」をいくつか読んだので、良かったものを紹介します。自然科学寄りの選書です。
This post steps forward to multiple linear regression. The method of least squares is revisited --with linear algebra.
This post summarizes the basics of simple linear regression --method of least squares and coefficient of determination.
Is the sample correlation coefficient an unbiased estimator? No! This post visualizes how large its bias is and shows how to fix it.
A golang implementation of dispatcher-worker pattern with errgroup. It immediately cancels the other jobs when an error occurs in any goroutine.
The correlation coefficient is a familiar statistic, but there are several variations whose differences should be noted. This post recaps the definitions of these common measures.
When you sample from a finite population without replacement, beware the finite population correction. The samples are not independent of each other.