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Filler values must be provided when X has more than 2 training features

Ruben Visser answered on April 21, 2022 Popularity 1/10 Helpfulness 8/10

answer Filler values must be provided when X has more than 2 training features

Filler values must be provided when X has more than 2 training features

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from sklearn.decomposition import PCA
from mlxtend.plotting import plot_decision_regions

clf = SVC(C=100,gamma=0.0001)
pca = PCA(n_components = 2)
X_train = pca.fit_transform(X_train)
clf.fit(X_train, y_train)
plot_decision_regions(X_train, y_train, clf=clf, legend=2)

plt.xlabel(X.columns[0], size=14)
plt.ylabel(X.columns[1], size=14)
plt.title('SVM Decision Region Boundary', size=16)

Popularity 1/10 Helpfulness 8/10 Language python

Source: stackoverflow.com

Tags: python training when

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