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Simarmata, Justin Eduardo
Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Timor, Indonesia
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Journal : JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI

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Performance Evaluation of Classification Methods on Big Data: Decision Trees, Naive Bayes, K-Nearest Neighbors, and Support Vector Machines Justin Eduardo Simarmata; Gerhard-Wilhelm Weber; Debora Chrisinta
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 3 (2024): May 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i3.32970

Abstract

Performance evaluation of classification methods on big data is becoming increasingly important in addressing the challenges of data analysis at scale. This study aims to conduct a comparative evaluation of the classification method, namely Decision Trees (DT), Naive Bayes (NB), k-Nearest Neighbors (KNN), and Support Vector Machines (SVM), in analysis on big data evaluated from data simulation and application of real data available in the Rstudio package, namely ISLR. The simulation data used consisted of 2 types of datasets generated based on predictor variables that were normally distributed with different averages and variants and response variables generated in classes adjusted to the characteristics of predictor variables with different proportions. Real data are taken from two types of numeric variables and predictor variables available in the package. The number of sample sizes to be evaluated in each method is n = 500, n = 1000 and n = 5000. In real data, sample division is done randomly to maintain data representativeness. At the evaluation stage, the performance of the method is measured using accuracy metrics. The results of the evaluation of the simulation of Dataset 1 show that the methods that have an influence on the quality of the classification produced if applied to Big Data are the DT and KNN methods. However, in Dataset 2 there is a change in the results of the DT method, because of the influence on the number of classes and the proportion of class distribution in the data. The results obtained from data simulation, proven by applying to real data by showing that similar methods provide a quality influence if applied to Big Data, while the NB and SVM methods do not show a consistent influence when applied to Big Data. The results of observations in this study show that the DT and KNN methods have several advantages that make them suitable for application to Big Data.
Co-Authors Ade Mirza admin pythagoras, admin Agnes L A Halla Agustinus Giovandi Laki Agustinus Giovandi Laki Aloisius Loka Son Aris Bantaika Atencia, Bryant Bennet D Atencia, Bryant Bennet D. Bano, Elinora Naikteas Benu, Kristiani Bernadeta Buik Bete, Hendrika Bete, Maria Erlince Bifel, Maria Gabriela Bait Cecilia Novianti Salsinha Chrisinta, Debora Debora Chrisinta Dian Grace Ludji Dominifridus Bone Eduardus Beo Seso Delvion Elfrida Nailopo Elisabet Ersamayori Foeh Elisabeth E Mayori Elizio Victor De Araujo Erlina, Nia Ferdinandus Mone Ferdinandus Mone Ferdinandus Mone Ferdinandus Mone Ferdinandus Mone Fetronela Rambu Bobu Fitriani Fitriani Fitriani Gelu, Leonard Peter Gerhard-Wilhelm Weber Gusti Firda Khairunnisa H. Bete Hendrika Yeni Meti Hijriani, Lailin Hijriani, Lailin Hutubessy, Aditya Ida Bagus Putu Mardana Ida Bagus Putu Mardana Iis Aprianti Jeniana Martha Prima Asa Josua Sahala Juventianus Kenjam Juventianus Kenjam Kehi, Sefrinus Kenjam, Juventianus Klau, Kondradus Yohanes Kondradus Yohanes Klau Kono, Metriana Maria Kristofel Bere Nahak Lailin Hijriani Lidu, Maria Luky Wandika Benu Lusilia Dos Santos Pakaenoni Maneno, Regolinda Margareta Rodrigues Gomes Maria Brigita Niis Nana Maria Delviana Mali Maria Naimnule Maria Naimnule Maria Naimnule Maria Naimnule Marselinus Banu Marten Luter Bana Melkisedik Bukifan Melkisedik Bukifan Merlin Helentina Napitupulu Miko Purnomo Milagros R. Baldemor Missa, Yeni mone, ferdinandus Moses Timutang Muhammad Amran Shidik Naisau, Angela Cristina Natalia Emanuela Lelboy Nelciana Talan Ni Putu Yuni Astriani Dewi Ni Putu Yuni Astriani Dewi Ni Putu Yuni Astriani Dewi Ni Wayan Sukerti Ni Wayan Sukerti Nia Erlina Nifu, Martha Marsela Nifu, Martha Marsella Oktovianus Mamoh Olo, Maria Regina Pasaribu, Revi Lestari Patrisius Bauk Peter Gelu, Leonard Pius Thaal Prudensius Manek Purba, Switamy Angnitha S. A. Purba Sari, Nur Nilam Sefrinus Kehi Seko, Herbert Sele, Yunawati Selestina Nahak Siahaan, Meiva Marthaulina Lestari Sila, Vinsensia Ulia Rita Silfester Faentaono Sirait, Debora Sitti Rosnafi’an Sumardi Sopbaba, Merlina Stanislaus Amsikan Switamy Angnitha Purba Taena, Vinsensia Gerosa Talan, Nelciana Tampani, Margarita Thofilus Sanam Thresia Trivict Semiun Uskono, Yunitha Centriana Venidora Solo, Maria Fransiska Vinsensia Ulia Rita Sila Wihelmina, Maria Wisrance Winda Ade Fitriya B Wua Laja, Yosepha Patricia Yakoba Yusina Muanley Yohanes Jefrianus Kehi Z.N. Ahzan Zulkaidah Nur Ahzan Zulkaidah Nur Azhan