
Comparing random forest and support vector machines for breast cancer classification
Author(s) -
Chelvian Aroef,
Yuda Rivan,
Zuherman Rustam
Publication year - 2020
Publication title -
telkomnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 23
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v18i2.14785
Subject(s) - random forest , support vector machine , christian ministry , breast cancer , artificial intelligence , cancer , machine learning , computer science , feature (linguistics) , feature selection , pattern recognition (psychology) , medicine , statistics , mathematics , philosophy , linguistics , theology