.. _sphx_glr_auto_examples_datasets_plot_make_imbalance.py: =========================== make_imbalance function =========================== An illustration of the make_imbalance function .. image:: /auto_examples/datasets/images/sphx_glr_plot_make_imbalance_001.png :align: center .. code-block:: python # Authors: Dayvid Oliveira # Christos Aridas # Guillaume Lemaitre # License: MIT import matplotlib.pyplot as plt from sklearn.datasets import make_moons from imblearn.datasets import make_imbalance print(__doc__) def plot_decoration(ax): ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) ax.get_xaxis().tick_bottom() ax.get_yaxis().tick_left() ax.spines['left'].set_position(('outward', 10)) ax.spines['bottom'].set_position(('outward', 10)) ax.set_xlim([-4, 4]) # Generate the dataset X, y = make_moons(n_samples=200, shuffle=True, noise=0.5, random_state=10) # Two subplots, unpack the axes array immediately f, axs = plt.subplots(2, 3) axs = [a for ax in axs for a in ax] axs[0].scatter(X[y == 0, 0], X[y == 0, 1], label="Class #0", alpha=0.5) axs[0].scatter(X[y == 1, 0], X[y == 1, 1], label="Class #1", alpha=0.5) axs[0].set_title('Original set') plot_decoration(axs[0]) ratios = [0.9, 0.75, 0.5, 0.25, 0.1] for i, ratio in enumerate(ratios, start=1): ax = axs[i] X_, y_ = make_imbalance(X, y, ratio=ratio, min_c_=1) ax.scatter(X_[y_ == 0, 0], X_[y_ == 0, 1], label="Class #0", alpha=0.5) ax.scatter(X_[y_ == 1, 0], X_[y_ == 1, 1], label="Class #1", alpha=0.5) ax.set_title('ratio = {}'.format(ratio)) plot_decoration(ax) plt.tight_layout() plt.show() **Total running time of the script:** ( 0 minutes 0.674 seconds) .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: plot_make_imbalance.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_make_imbalance.ipynb ` .. rst-class:: sphx-glr-signature `Generated by Sphinx-Gallery `_