Multiclass Classification, One Vs All.
create a binary classifier where the samples of class i are labeled as positive (11) and all other samples are labeled as negative (00). We train K binary classifiers, where K is the number of classes in the dataset. Prediction Phase: To predict the class label for a new sample, we run it through