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Supervised learning algorithms for binary and multiclass
Classification is a type of supervised machine learning in which
an algorithm "learns" to classify new observations from
examples of labeled data. To explore classification models interactively,
use the Classification Learner app.
For greater flexibility, you can pass predictor or feature data with
corresponding responses or labels to an algorithm-fitting function
in the command-line interface.
To train regression models, such as logistic regression, regression
trees, Gaussian process regression, and support vector regression,