Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying
The sophistication of smartphones with various sensors they have can be used to recognize human physical activity by placing the smartphone on the human body. Classification of human activities, the best performance is obtained when using machine learning methods, while statistical methods such as l...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universitas Gadjah Mada
2022-07-01
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| Series: | IJCCS (Indonesian Journal of Computing and Cybernetics Systems) |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/ijccs/article/view/73179 |
| _version_ | 1797681721197461504 |
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| author | Supriyadi La Wungo Firman Aziz |
| author_facet | Supriyadi La Wungo Firman Aziz |
| author_sort | Supriyadi La Wungo |
| collection | DOAJ |
| description | The sophistication of smartphones with various sensors they have can be used to recognize human physical activity by placing the smartphone on the human body. Classification of human activities, the best performance is obtained when using machine learning methods, while statistical methods such as logistic regression give poor results. However, the weakness of the logistic regression method in classifying human activities is corrected by using the ensemble technique. This paper proposes to apply the Multiclass Ensemble Gradient Boost technique to improve the performance of the Logistic Regression classification in classifying human activities such as walking, running, climbing stairs, and descending stairs. The results show that the Multiclass Ensemble Gradient Boost Classifier by Estimating the Newton-Raphson Parameter succeeded in improving the performance of logistic regression in terms of accuracy by 29.11%. |
| first_indexed | 2024-03-11T23:49:07Z |
| format | Article |
| id | doaj.art-69488841e3e741efa22adbff0dd50266 |
| institution | Directory Open Access Journal |
| issn | 1978-1520 2460-7258 |
| language | English |
| last_indexed | 2024-03-11T23:49:07Z |
| publishDate | 2022-07-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | IJCCS (Indonesian Journal of Computing and Cybernetics Systems) |
| spelling | doaj.art-69488841e3e741efa22adbff0dd502662023-09-19T08:29:49ZengUniversitas Gadjah MadaIJCCS (Indonesian Journal of Computing and Cybernetics Systems)1978-15202460-72582022-07-0116329130010.22146/ijccs.7317932205Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity ClassifyingSupriyadi La Wungo0Firman Aziz1Informatics Engineering, STMIK Kreatindo, MonokwariUniversitas PancasaktiThe sophistication of smartphones with various sensors they have can be used to recognize human physical activity by placing the smartphone on the human body. Classification of human activities, the best performance is obtained when using machine learning methods, while statistical methods such as logistic regression give poor results. However, the weakness of the logistic regression method in classifying human activities is corrected by using the ensemble technique. This paper proposes to apply the Multiclass Ensemble Gradient Boost technique to improve the performance of the Logistic Regression classification in classifying human activities such as walking, running, climbing stairs, and descending stairs. The results show that the Multiclass Ensemble Gradient Boost Classifier by Estimating the Newton-Raphson Parameter succeeded in improving the performance of logistic regression in terms of accuracy by 29.11%.https://jurnal.ugm.ac.id/ijccs/article/view/73179physical activityclassificationmulticlass ensemble gradientboostnewton rapshon parametersmartphone |
| spellingShingle | Supriyadi La Wungo Firman Aziz Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying IJCCS (Indonesian Journal of Computing and Cybernetics Systems) physical activity classification multiclass ensemble gradientboost newton rapshon parameter smartphone |
| title | Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying |
| title_full | Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying |
| title_fullStr | Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying |
| title_full_unstemmed | Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying |
| title_short | Increasing Performance of Multiclass Ensemble Gradient Boost uses Newton-Raphson Parameter in Physical Activity Classifying |
| title_sort | increasing performance of multiclass ensemble gradient boost uses newton raphson parameter in physical activity classifying |
| topic | physical activity classification multiclass ensemble gradientboost newton rapshon parameter smartphone |
| url | https://jurnal.ugm.ac.id/ijccs/article/view/73179 |
| work_keys_str_mv | AT supriyadilawungo increasingperformanceofmulticlassensemblegradientboostusesnewtonraphsonparameterinphysicalactivityclassifying AT firmanaziz increasingperformanceofmulticlassensemblegradientboostusesnewtonraphsonparameterinphysicalactivityclassifying |