A comparison of a several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different
Show below is a logistic-regression classifiers decision boundaries on the
This illustrates the datasets.make_multilabel_classification dataset generator. Each sample consists of counts of two features (up to
A recursive feature elimination example showing the relevance of pixels in a digit classification task.
A tutorial exercise for using different SVM kernels. This exercise is used in the
This example illustrates the prior and posterior of a GPR with different kernels. Mean, standard deviation, and 10
This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets
A two-dimensional classification example showing iso-probability lines for the predicted probabilities.
This example demonstrates how to approximate a function with a polynomial of degree n_degree by using ridge regression. Concretely, from n_samples 1d points, it suffices
Demonstrate the resolution of a regression problem using a k-Nearest Neighbor and the interpolation of the target using both barycenter and constant weights.
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