153f6e0ff5729fc22b68d5f6e0fd05edf96d8c2c,examples/datasets/plot_make_imbalance.py,,,#,36

Before Change

axs[0].scatter(X[y == 0, 0], X[y == 0, 1], label="Class /ǖ", alpha=0.5)
axs[0].scatter(X[y == 1, 0], X[y == 1, 1], label="Class /Ǘ", alpha=0.5)
axs[0].set_title("Original set")
plot_decoration(axs[0])


def ratio_func(y, multiplier, minority_class):

After Change

    return {minority_class: int(multiplier * target_stats[minority_class])}


multipliers = [0.9, 0.75, 0.5, 0.25, 0.1]
for i, multiplier in enumerate(multipliers, start=1):
    ax = axs[i]

    X_, y_ = make_imbalance(X, y, sampling_strategy=ratio_func,

Instances