Open AccessDATA MINING USING RANDOM FOREST, NAÏVE BAYES, AND ADABOOST MODELS FOR PREDICTION AND CLASSIFICATION OF BENIGN AND MALIGNANT BREAST CANCER
Author(s) -
Bahtiar Imran,
Hambali Hambali,
Ahmad Subki,
Zaeniah Zaeniah,
Ahmad Yani,
Muhammad Rijal Alfian
Publication year - 2022
Publication title -
pilar nusa mandiri/pilar nusa mandiri
Language(s) - English
Resource type - Journals
eISSN - 2527-6514
pISSN - 1978-1946
DOI - 10.33480/pilar.v18i1.2912
Subject(s) - random forest , adaboost , naive bayes classifier , precision and recall , artificial intelligence , recall , bayes' theorem , statistics , computer science , mathematics , pattern recognition (psychology) , machine learning , psychology , support vector machine , bayesian probability , cognitive psychology