Fig. 8
From: Machine learning in medicine: a practical introduction
Regression coefficients for the GLM model. The figure shows the coefficients for the 9 model features for different values of log(λ). log(λ) values are given on the lower x-axis and number of features in the model are displayed above the figure. As the size of log(λ) decreases the number of variables in the model (i.e. those with a nonzero coefficient) increases as does the magnitude of each feature. The vertical dotted line indicates the value of log(λ) at which the accuracy of the predictions is maximized
