| # Getting data | |
| from sklearn.datasets import load_breast_cancer | |
| cancer = load_breast_cancer() | |
| classes=cancer.target_names | |
| X = cancer.data | |
| y = cancer.target | |
| # Importing learning curve visualizer | |
| from yellowbrick.model_selection import LearningCurve | |
| # Importing Support Vector Classifier | |
| from sklearn.svm import SVC | |
| # Creating the learning curve | |
| visualizer = LearningCurve(SVC(), | |
| n_jobs=-1, cv=10, | |
| scoring="accuracy") | |
| visualizer.fit(X, y) | |
| # Saving plot in PNG format | |
| visualizer.show(outpath="Learning_Curve.png") |