Exercise

Build final classification model

Comparing the recall performance between the logistic regression model (0.4) and the best performing random forest model (0.2), you've learned that the model with the best performance is the logistic regression model. In this exercise, you will build the logistic regression model using all of the train data and you will prepare the necessary vectors for evaluating this model's test performance.

Instructions

100 XP

Build a logistic regression model predicting Attrition using all available features in the training_data.
Prepare the binary vector of actual test values, test_actual.
Prepare the binary vector of predicted values where a probability greater than 0.5 indicates TRUE and store this as test_predicted.