Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. The diagonal elements represent the number of points for which
Toy example of 1D regression using linear, polynomial and RBF kernels. print(__doc__)
class sklearn.preprocessing.Binarizer(threshold=0.0, copy=True)
Datasets can often contain components of that require different feature extraction and processing pipelines. This scenario might occur when:
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