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科言猫学术研究的AI总结
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M

Maria Irmina Prasetiyowati

institute technology of bandung

7H指数
29论文数
233被引数
收录论文 2
发表时间
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The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy
errPEERJ COMPUTER SCIENCE
IF2.5
err2022-07-14
err7
errOAAI
errPrasetiyowati, Maria Irmina; Maulidevi, Nur Ulfa; Surendro, Kridanto
err分享
err收藏
Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forest
errJOURNAL OF BIG DATA
IF6.4
err2021-06-05
err39
errOAAI
errPrasetiyowati, Maria Irmina; Maulidevi, Nur Ulfa; Surendro, Kridanto
err分享
err收藏

研究方向

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K
Kridanto Surendro
H 指数: 22 · 论文数: 255
N
Nur Ulfa Maulidevi
H 指数: 14 · 论文数: 111
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