Evaluation of ensemble method for multiclass classification on unbalanced data

AA Rosita, A Kurnia, A Djuraidah - AIP Conference Proceedings, 2022 - pubs.aip.org
One of the problems that often arise in classification analysis is unbalanced data. This
problem causes misclassification, so that it affects the sensitivity, especially in the minority …

ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA

L Qadrini, H Hikmah, E Tande, I Presda… - … Ilmu Matematika dan …, 2024 - ojs3.unpatti.ac.id
Imbalanced data is a commonly encountered issue in classification analysis. This issue
gives rise to prediction errors in the classification process, which in turn affects the …

Implementasi SMOTE Untuk Klasifikasi Loyalitas Konsumen Telesales X (Studi Kasus: Data Transaksi Telesales Perusahaan X)

TT WANANDA - 2023 - dspace.uii.ac.id
Perkembangan teknologi pada saat ini telah merambah dunia pendidikan yang biasa
disebut dengan edutech. Saat ini terdapat beberapa perusahaan startup yang bergerak …

OPTIMALISASI PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU MENGGUNAKAN BINNING DAN SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE …

F Rahman, M Mustikasari - AGENTS: Journal of Artificial …, 2024 - tin.fst.uin-alauddin.ac.id
On-time student graduation is a situation where a student graduates from their educational
program at the time planned or determined by the relevant educational institution. This …

The Sentiment Analysis of Public Comments on “Program Makan Siang Gratis” Using KNN (K-Nearest Neighbor) and SMOTE Algorithm

V Vincent, VH Irsansaputra… - [CEPAT] Journal of …, 2024 - journals.telkomuniversity.ac.id
This research analyzes public sentiment on “Program Makan Siang Gratis” using the KNN
algorithm, enhanced with the SMOTE technique, to provide insights and recommendations …

[引用][C] Synthetic Minority Oversampling Technique Implementation on Random Forest in Archipelagic Fishing Port of Pemangkat

JFP Anugrahnu, NN Debataraja, D Kusnandar - The 6 th International Conference of …