Classifiers like logistic regression or Support Vector Machine classifiers are binary classifiers. These classifiers, by default, can solve binary classification problems. But, we can use a One-vs-One (OVO) strategy with a binary classifier to solve a multiclass...

We can use the One-vs-Rest (OVR) classifier to solve a multiclass classification problem using a binary classifier. For example, logistic regression or a Support Vector Machine classifier is a binary classifier. We can use an OVR classifier that uses the One-vs-Rest...

A binary classifier can solve binary classification problems by default. For example, logistic regression or a Support Vector Machine classifier can solve a classification problem if the target categorical variable can take any of two different values. But, sometimes...

What is repeated stratified k-fold cross-validation? In our previous articles, we discussed k-fold cross-validation, repeated k-fold cross-validation, and stratified k-fold cross-validation. We discussed that in stratified k-fold cross-validation, stratified folds are...