title: Differences in FP and FN rates between two algorithems
body: <p>I am conducting binary classification using logistic regression with and without applying PCA. The application of PCA before logistic regression gives a higher accuracy and lower FNs in comparison to logistic regression alone. I would like to find out why this is happening, specifically why PCA produces less FNs. I have read that cost sensitivity analysis could help explain this, but I am not sure if this is correct. Any suggestions? </p>