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.
Read moreHow many datasets are in sklearn?
Intro to Scikit-Learn’s Datasets Scikit-Learn provides seven datasets , which they call toy datasets.
Read moreCan we predict diabetes?
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.
Read moreWhich classification algorithm performs better for diabetes dataset?
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%.
Read moreWhat is the diabetes pedigree function?
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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