Analyzing the diabetes dataset using classification algorithms

G.Aswathi; T.k.Ramalakshmi; P.Monica; V.Aarthi; S.Jamuna

Analyzing the diabetes dataset using classification algorithms

Authors: G.Aswathi, T.k.Ramalakshmi, P.Monica, V.Aarthi , S.Jamuna

Unique Paper ID: 154172
Volume: 8
Issue: 7
PageNo: 49-50

Keywords: Classification Numpy Pandas Sklearn Seaborn

Abstract:
Diabetes is one of the deadliest disease in the world. It is not only a disease but also creator of different kinds of diseases like heart attack, blindness etc. The objective of this analysis is to identify whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. The datasets consist of several medical predictor variables and one target variable, Outcome. Predictor variables include the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 7
PageNo: 49-50

Analyzing the diabetes dataset using classification algorithms

Available:https://ijirt.org/Article?manuscript=154172

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