OPTIMASI HYPERPARAMETER PADA GRADIENT BOOSTED TREES MENGGUNAKAN BAYESIAN OPTIMIZATION

RACHMATULLAH, ARIEF and Saputra, Danny Matthew and Primartha, Rifkie (2019) OPTIMASI HYPERPARAMETER PADA GRADIENT BOOSTED TREES MENGGUNAKAN BAYESIAN OPTIMIZATION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021181520022.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
Preview	Text RAMA_55201_09021181520022_0001067709_0010058507_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021181520022_0001067709_0010058507_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (478kB) | Request a copy
	Text RAMA_55201_09021181520022_0001067709_0010058507_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (722kB) | Request a copy
	Text RAMA_55201_09021181520022_0001067709_0010058507_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (996kB) | Request a copy
	Text RAMA_55201_09021181520022_0001067709_0010058507_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (342kB) | Request a copy
	Text RAMA_55201_09021181520022_0001067709_0010058507_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (186kB) | Request a copy
	Text RAMA_55201_09021181520022_0001067709_0010058507_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (507kB) | Request a copy
	Text RAMA_55201_09021181520022_0001067709_0010058507_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (468kB) | Request a copy
	Text RAMA_55201_09021181520022_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (12MB) | Request a copy

Abstract

Data mining is a technique to transform a collection of data into a knowledge. One of the factors that affect the accuracy of these data mining methods is hyperparameters which must be determined before training proses started. The data mining method that is very affected by hyperparameters is Gradient Boosted Trees. With a wrong hyperparameter configuration, the Gradient Boosted Tree model will be overfitting. One way that can be used to prevent this is to optimize Gradient Boosted Trees hyperparameters with hyperparameter optimization techniques and one of the popular hyperparameter optimization methods is Bayesian Optimization. Therefore, this study utilizes Bayesian Optimization to optimize Gradient Boosted Trees hyperparameter.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Data mining, Hyperparameter, optimization, gradient boosted trees, bayesian optimization
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 3896 not found.
Date Deposited:	06 Jan 2020 07:02
Last Modified:	06 Jan 2020 07:02
URI:	http://repository.unsri.ac.id/id/eprint/23081

Actions (login required)

View Item