Aug 31, 2018 · 1 min read
Hello Michael, I was using 193 features to fit my classification models earlier and now using only 13 features I am able to achieve approximately the same accuracy, this means that out of those 193 features only 13 were important. Can you suggest me how can I use PCA to find out which features out of the 193 are important for correct classification?