def successful_example():
forest = RandomForest("mushrooms",
n_boostrap=50,
n_features=10,
test_size=0.2,
n_trees=10,
tree_max_depth=10
)
forest.test_model()
forest.print_forest()
print("Successful forest accuracy " + str(forest.accuracy * 100) + "%")
def fail_example():
forest = RandomForest("diabetes",
n_boostrap=50,
n_features=8,
test_size=0.2,
n_trees=20,
tree_max_depth=10
)
forest.test_model()
forest.print_forest()
print("Unsuccessful forest accuracy " + str(forest.accuracy * 100) + "%")