Journal of Student Research Exploration
Vol. 3 No. 1 (2025): January 2025

Support vector machine on two-class classification problem to determine an otaku

Husyen Ramadhan, Farhan (Unknown)
Lestari, Apri Dwi (Unknown)

Article Info

Publish Date
08 Feb 2025

Abstract

Machine Learning has become a popular topic among academics and practitioners in recent years. This paper describes the use of SVM for otaku classification problem. The dataset used is a dummy dataset created with a python programme. In this research, SVM will be used as a model. The model aims to predict whether someone is an otaku or not, based on several attributes. The optimal parameters are obtained after several experiments. The parameters consist of kernel=‘poly’, C=0.1, gamma=‘auto’, degree=2, and attribute class_weight=None. The performance obtained by applying the above parameters is 100% accuracy.

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Journal Info
Journal of Student Research Exploration
Website

Abbrev

josre

Publisher

shm publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

The Journal of Student Research Exploration aim publishes articles concerning the design and implementation of computer engineering, information system, data models, process models, algorithms, and software for information systems. Subject areas include data management, data mining, machine ...