The use of resampling techniques to overcome imbalance of data on the classification algorithm

Imbalance of dataset in the accuracy testing process can lead to biased results. It occurs due to insufficient data in the training phase where unbalanced data causes problems in Machine Learning. Classification and predicting results become difficult when there is insufficient data to study. To ove...

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Bibliographische Detailangaben

Hauptverfasser:	Aryanti, Riska, Arifin, Yoseph Tajul, Khairunas, Sayyid, Misriati, Titik, Dalis, Sopiyan, Baidawi, Taufik, Safitri, Rizky Ade, Marlina, Siti
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Algorithms Classification Datasets Machine learning Resampling Sampling methods Sampling techniques Support vector machines
Online-Zugang:	Volltext
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