Scikit-Learn k최근접이웃 분류기 분석하기
1234567891011121314151617181920%matplotlib inlineimport matplotlib.pyplot as pltfrom sklearn.neighbors import KNeighborsClassifierimport mglearn X, y = mglearn.datasets.make_forge() fig, axes = plt.subplots(1, 4, figsize=(10, 3)) for n_neighbors, ax in zip([1, 3, 6, 9], axes): clf = KNeighborsClassifier(n_neighbors=n_neighbors).fit(X, y) score = clf.score(X, y) mglearn.plots.plot_2d_separator(cl..
2019. 2. 24. 09:28