cancer dataset for different values of linear models for multiclass classification many linear classification models are for binary classification onlyand don' extend naturally to the multiclass case (with the exception of logistic regressiona common technique to extend binary classification algorithm to multiclass classification algorithm is the one-vs -rest approach in the one-vs -rest approacha binary model is learned for each class that tries to separate that class from all of the other classesresulting in as many binary models as there are classes to make predictionall binary classifiers are run on test point the classifier that has the highest score on its single class "wins,and this class label is returned as the prediction supervised machine learning algorithms