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The demo program trains the logistic regression model using an iterative process. Behind the scenes, the demo is using the gradient ascent log likelihood optimization technique (which, as you'll see, ...
The random forest model significantly outperformed all other models, including the logistic regression model that the entire paper focuses on, with an eventual AUC of 0.936 and an accuracy of 0.918.