Algorithm · Capital One · Medium
You are provided with three already-preprocessed data files, train.csv, val.csv, and test.csv. Build a binary classification model that predicts each driver's class, and produce a file named predictions.csv containing its predictions for the test set. The label column is driver_class. Treat B class (which appears as the value 1 after preprocessing) as the positive class. The column driver_id only identifies a driver and may not be used as an input feature. Fit your candidate…