Performance Analysis of Hybrid Machine Learning Methods on Imbalanced Data (Rainfall Classification)

Performance Analysis of Hybrid Machine Learning Methods on Imbalanced Data (Rainfall Classification)

This study proposes several methods to analyze the performance of the hybrid machine learning method using Voting and Stacking on rainfall classification. The two hybrid methods will combine five classification methods, namely Logistic Regression, Support Vector Machine, Random Forest, Artificial Ne...

Full description

Bibliographic Details
Main Authors: Aditya Gumilar, Sri Suryani Prasetiyowati, Yuliant Sibaroni
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2022-07-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
rainfall, machine learning, hybrid methods, classification, smote
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/4142

Similar Items

Similar Items