71b1e873e70dca43cd12870d4c0f497015f41970,examples/combine/plot_comparison_combine.py,,,#,106

Before Change

X, y = create_dataset(n_samples=1000, weights=(0.1, 0.2, 0.7))

ax_arr = ((ax1, ax2), (ax3, ax4), (ax5, ax6))
for ax, sampler in zip(
    ax_arr,
    (
        SMOTE(random_state=0),
        SMOTEENN(random_state=0),
        SMOTETomek(random_state=0),
    ),
):
    clf = make_pipeline(sampler, LinearSVC())
    clf.fit(X, y)
    plot_decision_function(X, y, clf, ax[0])

After Change

fig, axs = plt.subplots(3, 2, figsize=(15, 25))
for ax, sampler in zip(axs, samplers):
    clf = make_pipeline(sampler, LinearSVC()).fit(X, y)
    plot_decision_function(X, y, clf, ax[0])
    plot_resampling(X, y, sampler, ax[1])
fig.tight_layout()

Instances