Model

Variable

Training set

(corresponding accuracy score)

Testing set (maximum accuracy score)

Logistic Regression

Number of Principal Components

0.859

0.800

AdaBoost

n_estimators

0.970

0.938

Decision Tree

max_depth

0.940

0.930

Random Forest

max_features

0.966

0.942

Support Vector Machine

Error tolerance (C)

0.984

0.949