This pdf contains a binary classification about the presence of diabetes on Pima indians. The dataset contains some medical analysis about blood metrics and the response variable detect the presence of the diabetes or not. The models tested was the logistic regression, random forest and Multilayer Perceptron, detecting as an optimal model the random forest. The analysis was conducted iin R Studio and the repository contains the various code divided into chapters.
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Supervised ML applyied on a binary classification to predict the presence of diabetes on PIMA indians patients
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