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All Journal JURNAL SISTEM INFORMASI BISNIS MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JIKO (Jurnal Informatika dan Komputer) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Compiler TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Bakti Cendana: Jurnal Pengabdian Masyarakat Mitra Mahajana: Jurnal Pengabdian Masyarakat Jurnal Dialektika Informatika (Detika) HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Journal of Informatics Management and Information Technology Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Sisfotek Global J-Icon : Jurnal Komputer dan Informatika Jurnal Inovatif Wira Wacana
Sebastianus Adi Santoso Mola
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences

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Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk Mola, Sebastianus Adi Santoso; Goru, Alfonsus Maria De Liguori; Lamapaha, Christian Jaquelino; Bekayo, Yoseph Kurubingan
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 17, No 2 (2025): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v17i2.30256

Abstract

Abstract—Baldness is a common condition affecting both men and women, primarily caused by age, hormones, and genetics. Predicting the risk of baldness is crucial for early diagnosis and prevention of further hair loss. This study aims to compare the performance of Linear Regression (LR), Decision Tree Regression (DTR), and Random Forest Regression (RFR) in predicting baldness risk using data with variables such as age, gender, occupation, stress levels, and other lifestyle factors. A dataset of 5925 samples was processed through a series of steps, including normalization, parameter tuning, cross-validation, and residual analysis. The results show that Random Forest Regression outperformed other models with the lowest MSE (0.0979) and the highest R² (0.9056) on both training and testing data, followed by Decision Tree Regression and Linear Regression. Hyperparameter optimization using Grid Search significantly enhanced model performance. In conclusion, Random Forest Regression is the most suitable model for predicting baldness risk with complex datasets, while Linear Regression remains a viable alternative for simpler datasets.
Co-Authors Abdul G Farid Adelysa P Gitaswara Adriana Fanggidae Adriana Fanggidae Arfan Y Mauko Atok, Yosefa Carela Baun, Diandra Lyan Bethseba Bekayo, Yoseph Kurubingan Boru, Meiton Clarissa Elfira Amos Pah Dwi Prasetyo Elfrida Veranda Beka Dede Emerensiana S.Y Pandie Emerensye S. Y. Pandie Emerensye Sofia Yublina Pandie Febryan Cornelis Lomi Finit, Awi Susanto Giri, Imanuel Raja Gloria, Ayuntha Goru, Alfonsus Maria De Liguori Huan, Arni Yusfin Jakha Rama Phosa Juan Rizky Mannuel Ledoh Juliet Reinita Angelia Lao Kase, Bernardino Antonius Kenlopo, Asnat Nofri Kornelis Letelay Lamapaha, Christian Jaquelino Leobisa, Elisabeth Ester Eunike Luttu, Yufridon Charisma Mbatu, Dinda Permata Meiton Boru Melly, Margaretha Delima N.A.Manbait, Yoseph D’Timor Nelci D Rumlaklak Nomleni, Inggi Rosina Novi Penna Nunes, Ingratcia Oktaviana Polly, Dian Putri Novita Prityaningsih, Ni Putu Dana Rassa, Delfiana M Romy O. D. Djami Roswita R Ligoresi Rumlaklak, Dessy Nelci Rumlaklak, Nelci D. Rumlaklak, Nelcy D. Sain, Adriana Yohana Sani, Michelle Maria Angely Rani Saragih, Alexandro Eurico Yosafat Sihotang, Dony Martinus Sitepu, Rasional Sonlay, Febronia B Ssainah P Faransyah Sultani, Akhzan Akbar Tiwuk Widiastuti Tokan, Diana Inda Carmilla Tungga, Varra Chandrika Kumara Viani Anika Afeanpah Wadu, Benyamin Orison Darling Kana Yelly Y Nabuasa Yelly Yosiana Nabuasa Yelly Yosiana Nabuasa Yublina Pandie, Emerensye Sofia Yulianto Triwahyuadi Polly Yulianto Triwahyuadi Polly