why does pca reduce machine learn score?
I’m working on a machine learning problem and trying to boost the effectiveness of the model. I have use Randomized search to find the best hyper-parameters for my model and it increased the score but not to a satisfactory level.
I decided to employ pca(Principal Component Analysis).
why does pca reduce machine learn score?
I’m working on a machine learning problem and trying to boost the effectiveness of the model. I have use Randomized search to find the best hyper-parameters for my model and it increased the score but not to a satisfactory level.
I decided to employ pca(Principal Component Analysis).