For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, income and political leaning. There are many other techniques for binary ...
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 ...
A study of 1,099 patients was conducted to test decision tree-based learning algorithms to predict analgesic consumption and patient-controlled anesthesia control readjustment, according to 7thSpace.
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