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The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset

Home Page: https://www.kaggle.com/uciml/pima-indians-diabetes-database

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pairplot histogram random-forest-classifier hyperparameter-search randomized-search evaluation-metrics adaboost svc-svm feature-selection feature-importance

pima_indian_diabetes_dataset's Introduction

PIMA_Indian_Diabetes_DataSet

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on

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pima_indian_diabetes_dataset's Issues

Regarding check_file ...

I am new to ML. What is that check_file ?. Is that the a file created by you ? Or How can I get it ?

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