Web Reference: Aug 13, 2025 · In scikit-learn, implementing multiclass classification involves preparing the dataset, selecting the appropriate algorithm, training the model and evaluating its performance. Multiclass classification expands on the idea of binary classification by handling more than two classes. This blog post will examine the field of Multiclass classification, techniques to... This section of the user guide covers functionality related to multi-learning problems, including multiclass, multilabel, and multioutput classification and regression.
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