Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Comparative analysis of K-Means, SVM, Decision Tree and Naive Bayes in Predicting Diabetes Presence
Comparative analysis of K-Means, SVM, Decision Tree and Naive Bayes in Predicting Diabetes Presence
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Rohan Almeida
,
Rajeev Dessai
,
Ayush Noorani
,
Amogh Pai Raiturkar
,
Samuel Godinho
Format:
Recurso digital
Published:
Zenodo
2023
Subjects:
Data Mining
Comparative analysis
Classification algorithms
Decision Tree
Support Vector Machines
KNN
Naive Bayes
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Edited Naive Bayes
by: J.M. Martínez Otzeta
Published: (2006)
Named Entity Recognition for Konkani Speech
by: Shalaka Naik Dessai
Published: (2025)
IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM
by: Shokhrukh Sariyev
Published: (2025)
A comparative study of decision tree and support vector machine for breast cancer prediction
by: Matthew Idakwo Ogbe, et al.
Published: (2024)
Apple Fruit Disease Identification Using a Novel Gray-Scale Segmentation Algorithm and Sorting Using a Naive Bayesian Classifier
by: Henila Manickam
Published: (2025)
