Analyzing the diabetes dataset using classification algorithms
Author(s):
G.Aswathi, T.k.Ramalakshmi, P.Monica, V.Aarthi , S.Jamuna
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.
Article Details
Unique Paper ID: 154172

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 49 - 50
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