Table 1:

Hyperparameters selected using a grid search. Any parameters not listed in the table were set to the scikit-learn default values.

Classifier	Hyperparameters
Bernoulli Naive Bayes	alpha=.01
Logistic Regression	C=2
Stochastic Gradient Descent	loss=modified huber, alpha=.0001, max_iter=1000
Random Forest Classifier	n estimators=100, criterion=‘gini’