Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
New text classification API for Microsoft’s open source machine learning framework streamlines model training by using your data to fine-tune an existing model. Microsoft has unveiled a preview of the ...
A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...
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