Which one is faster? Logistic regression or SVM with linear kernel?
<p>I am doing machine learning with python (scikit-learn) using the same data but with different classifiers. When I use 500k of data, LR and SVM (linear kernel) take about the same time, SVM (with polynomial kernel) takes forever. But using 5 million data, it seems LR is faster than SVM (linear) by a lot, I wonder if this is what people normally find?</p>