1d62b0c431c821671ef8f251d14cc8ae79b93c76,examples/ensemble/plot_balance_cascade.py,,,#,18
Before Change
// Generate the dataset
X, y = make_classification(n_classes=2, class_sep=2, weights=[0.1, 0.9],
n_informative=3, n_redundant=1, flip_y=0,
n_features=20, n_clusters_per_class=1,
n_samples=5000, random_state=10)
After Change
for ax in (ax1, ax2):
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([-6, 8])
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 1d62b0c431c821671ef8f251d14cc8ae79b93c76
Time: 2017-03-30
Author: g.lemaitre58@gmail.com
File Name: examples/ensemble/plot_balance_cascade.py
Class Name:
Method Name:
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 1d62b0c431c821671ef8f251d14cc8ae79b93c76
Time: 2017-03-30
Author: g.lemaitre58@gmail.com
File Name: examples/ensemble/plot_easy_ensemble.py
Class Name:
Method Name:
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 1d62b0c431c821671ef8f251d14cc8ae79b93c76
Time: 2017-03-30
Author: g.lemaitre58@gmail.com
File Name: examples/applications/plot_over_sampling_benchmark_lfw.py
Class Name:
Method Name: