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Decision tree is a classification algo...How can it be applied to load diabetes dataset which has DV continuous

By Manerushi149@gmail.com, 3 months ago
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Help me on this ... Decision tree is a classification algorithm...How can it be applied to load diabetes dataset which has dependent variable continuous

Decision tree
Machine learning
Classification algorithm
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Hitendradixit18@gmail.com

you have decision tree classification and regression, where regression we use for continuous data

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Goutamp777

Decision tree is a classification algorithm that can be used to predict a categorical outcome. However, it can also be used for regression tasks by treating the dependent variable as continuous. One way to apply decision tree to a diabetes dataset with a continuous dependent variable is to convert the continuous variable into a categorical variable by creating bins and then using the decision tree algorithm to predict the binned outcome. Another way would be to use a decision tree algorithm specifically designed for regression tasks such as the CART (Classification and Regression Tree) algorithm.

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