You are applying Adaptive Boosting method on a 2-class classification problem. Below is the table that displays the misclassification rate and the model values that are obtained upon training three models (i.e., m = 3). After training, a sample from the test data set is classified as +1 or -1 by each of these three models (as shown below): Model Misclassification Rate Value Predicted Class (test sample) 1 0.65 -0.310 -1 2 0.27 0.424 1 3 0.5 0 -1 Which class will the sample belong to using the Adaptive Boosting method?

Coding-based: For the given data set in the python file, report the standard deviation of the ‘ZN’ predictor variable.

Which of the following measures will attain the highest score, representing the impurity at a node for a 2-class classification problem, given the probability of an event occurring is 0.5?

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A patient that is 74 y/o with diabetic autonomic neuropathy develops chronic urinary retention.Which pathophysiologic mechanism most directly explains this disorder?