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Diabetes dataset

How do I download sklearn datasets in Python?

1 April 2022 Enpatika.com Genel

download() function to download the datasets that are comes with the NLP suite . In sklearn, it talks about loading data sets (http://scikit-learn.org/stable/datasets/) and fetching datas from http://mldata.org/ but for the rest of the datasets, the instructions were to download from the source.

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How many datasets are in sklearn?

1 April 2022 Enpatika.com Genel

Intro to Scikit-Learn’s Datasets Scikit-Learn provides seven datasets , which they call toy datasets.

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What datasets are available in sklearn datasets?

1 April 2022 Enpatika.com Genel

7.1.

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How do I load a sklearn dataset?

1 April 2022 Enpatika.com Genel
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Which classification algorithm performs better for diabetes dataset?

1 April 2022 Enpatika.com Genel

They found for better accuracy, Adaboost can be applied to predict diseases like diabetes, coronary heart disease, and hypertension. Sisodia et al. [18] found that, among the applied machine learning methods SVM, NB, and DT on PIDD, the NB classifier shows better accuracy at 76.30%.

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What is the diabetes pedigree function?

1 April 2022 Enpatika.com Genel

DiabetesPedigreeFunction: Diabetes pedigree function (a function which scores likelihood of diabetes based on family history ) Age: Age (years) Outcome: Class variable (0 if non-diabetic, 1 if diabetic)

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Can we predict diabetes?

1 April 2022 Enpatika.com Genel

Recently, numerous algorithms are used to predict diabetes , including the traditional machine learning method (Kavakiotis et al., 2017), such as support vector machine (SVM), decision tree (DT), logistic regression and so on.

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