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

Before Change

axs = [a for ax in axs for a in ax]

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

After Change

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,
                            **{"multiplier": multiplier,
                               "minority_class": 1})
    X_.plot.scatter(
        x="feature 1", y="feature 2", c=y_, ax=ax, colormap="viridis",
        colorbar=False
    )
    ax.set_title("Sampling ratio = {}".format(multiplier))

plt.tight_layout()
plt.show()

Instances