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Decision Tree is a supervised learning algorithm. The given problem is a classification problem. The data set consists of various predictors and a target variable - Outcome. Objective is to predict whether a person is diabetic or non-diabetic.

License: GNU General Public License v3.0

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correlation decision-tree-classifier logistic-regression missing-value-treatment outlier-removal random-forest-classifier

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