e2f021a5e4444befdb9e5926b96bc96c408faa85,examples/cross_validation.py,,,#,30

Before Change

// -----------------------------------------------------------------------------
data = load_diabetes()

icp = IcpRegressor(RegressorNc(RandomForestRegressor(n_estimators=100),
                               SignErrorErrFunc()))
icp_cv = RegIcpCvHelper(icp)

scores = cross_val_score(icp_cv,
                         data.data,
                         data.target,
                         iterations=10,
                         folds=10,
                         scoring_funcs=[reg_mean_errors, reg_median_size],
                         significance_levels=[0.05, 0.1, 0.2])

print("Signed error regression: diabetes")
scores = scores.drop(["fold", "iter"], axis=1)
print(scores.groupby(["significance"]).mean())

// -----------------------------------------------------------------------------

After Change

// -----------------------------------------------------------------------------
data = load_diabetes()

icp = IcpRegressor(RegressorNc(RegressorAdapter(RandomForestRegressor(n_estimators=100)),
                               SignErrorErrFunc()))
icp_cv = RegIcpCvHelper(icp)

scores = cross_val_score(icp_cv,
                         data.data,
                         data.target,
                         iterations=5,
                         folds=5,
                         scoring_funcs=[reg_mean_errors, reg_median_size],
                         significance_levels=[0.05, 0.1, 0.2])

print("Signed error regression: diabetes")
scores = scores.drop(["fold", "iter"], axis=1)
print(scores.groupby(["significance"]).mean())

// -----------------------------------------------------------------------------

Instances