1dbb7b146f235640776610b5d5c5f73917e718de,tutorials/tpot_titanic_pipeline.py,,,#,9

Before Change

    train_test_split(features, tpot_data["class"], random_state=42)

exported_pipeline = make_pipeline(
    RandomForestClassifier(n_estimators=500)
)

exported_pipeline.fit(training_features, training_classes)
results = exported_pipeline.predict(testing_features)

After Change

training_features, testing_features, training_classes, testing_classes = \
    train_test_split(features, tpot_data["class"], random_state=42)

exported_pipeline = RandomForestClassifier(bootstrap=False, max_features=0.4, min_samples_leaf=1, min_samples_split=9)

exported_pipeline.fit(training_features, training_classes)
results = exported_pipeline.predict(testing_features)

Instances