DATA MINING CLASSIFICATION FOR BREAST CANCER PREDICTION

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UEU » Scientific Articles » Teknik Informatika
Posted by [email protected] at 24/08/2020 12:21:08 • 607 Views

DATA MINING CLASSIFICATION FOR BREAST CANCER PREDICTION

Created by :
AGUNG MULYO WIDODO, ST, M.Sc ( None )
Ir. NIZIRWAN ANWAR, MT BAMBANG IRAWAN, S.Kom, M.Kom

Subject:	KOMPUTER
Alt. Subject :	COMPUTER SCIENCE
Keyword:	RANDOM FOREST BREAST CANCER

Description:

Many machine learning methods are used in constructing a predictive model. In this study, a study was conducted on the performance of the Bagging, IBk and Random forest classification algorithms using the same dataset to predict the diagnosis of breast cancer. The results obtained that the highest accuracy value was the IBk algorithm and the lowest was the Random forest algorithm, of the three algorithms.

Contributor	:	LISTA MERIA, S.Kom, MM
Date Create	:	24/08/2020
Type	:	Text
Format	:	PDF
Language	:	Indonesian
Identifier	:	UEU-Article-5_0301
Collection ID	:	5_0301

Source :
Artikel Ilmiah

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2020 Perpustakaan Universitas Esa Unggul

Publication URL :
https://digilib.esaunggul.ac.id/data-mining-classification-for-breast-cancer-prediction-15948.html

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