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Found 1 from your keywords: subject="imbalanced class"
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PENERAPAN SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE PADA PENGKLASIFIKASIAN K…
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Dita, Vivi Clara

Imbalanced class data can affect classification performance. An imbalanced class occurs when the minority class is less than the majority class. Imbalanced class can be overcome by resampling one of them using synthetic minority over-sampling technique (SMOTE). This research aims to balance the class by applying SMOTE to the Prabumulih city rainfall event classification using the Fuzzy Naïve B…

Edition
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ISBN/ISSN
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Collation
xii, 65 hlm.; ilus.; tab.; 28 cm
Series Title
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Call Number
T1461702024