Work

Boosting Methods Comparison : XGBoost, Adaboost and Gradient Boosting for Business Partner Performance Prediction

Year: 2024

Type: conference-paper

Source: International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)

DOI: 10.1109/icitisee63424.2024.10730221

Authors: Elly Warni, Dea Wahsa Saputri, A. Ais Prayogi Alimuddin, Muhammad Rizal H, Yunifa Miftachul Arif, Irfan Tanzilur Rahman

Institutions: Hasanuddin University, Universitas Teknologi Akba Makassar, Universitas Islam Negeri Maulana Malik Ibrahim

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403938014

FWCI: 0.802

Cites: 32

Cited by: 2

Related to: 10