def bench_scikit_tree_regressor(X, Y):
    """Benchmark with scikit-learn decision tree regressor"""

    from sklearn.tree import DecisionTreeRegressor

    gc.collect()

    # start time
    tstart = datetime.now()
    clf = DecisionTreeRegressor()
    clf.fit(X, Y).predict(X)
    delta = (datetime.now() - tstart)
    # stop time

    scikit_regressor_results.append(
        delta.seconds + mu_second / delta.microseconds)
dataset/ETHPy150Open scikit-learn/scikit-learn/benchmarks/bench_tree.py/bench_scikit_tree_regressor/swapped operands of `/`