Analyzing the diabetes dataset using classification algorithms
G.Aswathi, T.k.Ramalakshmi, P.Monica, V.Aarthi , S.Jamuna
Classification, Numpy, Pandas, Sklearn Seaborn
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
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews