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Depicts the features selection and regularization using LASSO on multiple logistic regression for predicting the IDH-status. The tuning parameter (lambda) has the most parsimonious model where its error is within one standard error of the minimum bionomial deviance. The optimum lambda occurs using three selected features (homogeneity, EC, and pixel correlation).
