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Sklearn.svm.SVC,the "predict" method predict all samples to same one label, which is wrong. · Issue #12408 · scikit-learn/scikit-learn · GitHub
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![SOLVED: # Import additional libraries from sklearn.decomposition import PCA from sklearn.svm import SVC # The list of number of components for PCA nlist = [10, 20, 50, 100, 150, 200, 498] #](https://cdn.numerade.com/ask_images/b6fd6e1fc07643bc9f0e881217562960.jpg "SOLVED: # Import additional libraries from sklearn.decomposition import PCA from sklearn.svm import SVC # The list of number of components for PCA nlist = [10, 20, 50, 100, 150, 200, 498] #")
SOLVED: # Import additional libraries from sklearn.decomposition import PCA from sklearn.svm import SVC # The list of number of components for PCA nlist = [10, 20, 50, 100, 150, 200, 498] #
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