Hot answers tagged machine-learning
A classifier can be weak for a number of reasons, and it mainly depends on characteristics of the data. For example, if the data are not linearly separable, then linear regression will be weak (poor correlation between predicted class and true class labels). However, if the data are linearly separable, then other classifiers may not work as well as linear ...
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