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コードを再度掲載いたしました
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```
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.datasets import make_moons
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X, y = make_moons(n_samples=100, noise=0.25, random_state=3)
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X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, random_state=42)
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forest = RandomForestClassifier(n_estimators=5, random_state=2)
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forest.fit(X_train, y_train)
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fig, axes = plt.subplots(2, 3, figsize=(20, 10))
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for i, (ax, tree) in enumerate(zip(axes.ravel(), forest.estimators_)):
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ax.set_title("Tree {}".format(i))
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mglearn.plots.plot_tree_partition(X_train, y_train, tree, ax=ax)
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mglearn.plots.plot_2d_separator(forest, X_train, fill=True, ax=axes[-1, -1], alpha=.4)
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axes[-1, -1].set_title("Random Forest")
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mglearn.discrete_scatter(X_train[:, 0], X_train[:, 1], y_train)```
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Pythonではじめる機械学習で勉強しています。
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ランダムフォレストのところでエラーがでて先に進みません。どうすれば良いのでしょうか？Runtimeエラーでoutput shape not correctと出ています。教えていただければ幸いです。
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from sklearn.ensemble import RandomForestClassifier
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from sklearn.datasets import make_moons
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X, y = make_moons(n_samples=100, noise=0.25, random_state=3)
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X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, random_state=42)
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forest = RandomForestClassifier(n_estimators=5, random_state=2)
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forest.fit(X_train, y_train)
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fig, axes = plt.subplots(2, 3, figsize=(20, 10))
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for i, (ax, tree) in enumerate(zip(axes.ravel(), forest.estimators_)):
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ax.set_title("Tree {}".format(i))
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mglearn.plots.plot_tree_partition(X_train, y_train, tree, ax=ax)
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mgleran.plots.plot_2d_separator(forest, X_train_, fill=True, ax=axes[-1, -1],
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alpha=.4)
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axes[-1, -1].set_title("Random Forest")
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mglearn.discrete_scatter(X_train[:, 0], X_train[:, 1], y_train)
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