Can We Use Logistic Regression For Multi Class Classification. We are going to use One Vs Rest OVR algorithm. In one-vs-all we train C separate.
Yes we can use logistic regression for multiclass classification. In the multiclass case the training algorithm uses the one-vs-rest OvR scheme if the multi_class option is set to ovr and uses the cross-entropy loss if the multi_class option is set to multinomial. The One-vs-Rest strategy splits a multi-class classification into one binary classification problem per class.
Some extensions like one-vs-rest can allow logistic regression to be used for multi-class classification problems although they require that the classification problem first be transformed into multiple binary classification.
In one-vs-all we train C separate. Logistic Regression aka logit MaxEnt classifier. Multinomial logistic regression is an extension of logistic regression that adds native support for multi-class classification problems. Multiclass classification with logistic regression can be done either through.
