As described last week, the Scikit-learn chi-square feature selection is not usable until the bug #21455 is addressed. The problem concerns sklearn.feature_selection.chi2 and the derivative methods, including SelectKBest, if used for categorical features other than binary. The nature of the
Your model may be inaccurate
With Machine Learning in Python, you may do feature selection with SelectKBest. As I just confirmed, this method sometimes returns faulty results. This potentially impacts the accuracy of numerous ML models worldwide. Below the details and the way out. The
3 Steps to Unmask Data in Camouflage
I am looking at distribution of a certain data set (left). It has two peaks (this is called ‘bimodal’) therefore I suspect that those are two overimposed populations. How do I split the data, to rediscover the original two populations