The sklearn.multioutput.MultiOutputClassifier is a classifier in Python's scikit-learn library that allows for multi-output classification tasks. It extends the capabilities of traditional single-output classifiers to handle cases where there are multiple target variables to predict. This classifier can be used with any base classifier as its estimator, allowing for flexibility in choosing the appropriate algorithm for the specific task. The MultiOutputClassifier takes inputs in the form of feature arrays and target arrays, and supports various methods for training, predicting, and evaluating the models. It is a useful tool for problems where there are multiple targets to predict simultaneously, such as multi-label classification or multi-task learning.
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