Logistic Regression for Multiple Classification is a promising method in applications in which classification and prediction of discrete-valued outputs are required. In the previous article titled “Logistic Regression for malignancy prediction in cancer,” I have introduced some fundamental concepts underlying this amazing supervised learning model, suggesting a possible use of it in predicting outcomes of malignancy in breast cancer.

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