Machine Learning, Logistic Regression, Support Vector Machine, Supervised Learning, Classification Algorithms.
00), m is large (50,000–1,000,000+): first, manually add more features and then use logistic regression or SVM with a linear kernel Generally, it is usually advisable to first try to use logistic regression to see how the model does, if it fails then you can try using SVM without a kernel (is