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![# Naive Bayes
bayes = GaussianNB().fit(train[features], y)
bayes_predict = bayes.predict(test[features])
# Logistic regres...](https://image.slidesharecdn.com/bot-or-not-print-150806213436-lva1-app6891/75/Bot-or-Not-43-2048.jpg?cb=1668880636)
![# construct parameter grid
param_grid = {'max_depth': [1, 3, 6, 9, 12, 15, None],
'max_features': [1, 3, 6, 9, 12],
'min_s...](https://image.slidesharecdn.com/bot-or-not-print-150806213436-lva1-app6891/75/Bot-or-Not-45-2048.jpg?cb=1668880636)
