Finding Location Visiting Preference from Personal Features with Ensemble Machine Learning Techniques and Hyperparameter Optimization
For the question regarding the relationship between personal factors and location selection, many researches support the effect of personal features for personal location favorite. However, it is also found that not all of personal factors are effective for location selection. In this research, only...
Main Authors: | Young Myung Kim, Ha Yoon Song |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/13/6001 |
Similar Items
-
Hyperparameter Optimization of Ensemble Models for Spam Email Detection
by: Temidayo Oluwatosin Omotehinwa, et al.
Published: (2023-02-01) -
Stacking Ensemble-Based Machine Learning Model for Predicting Deterioration Components of Steel W-Section Beams
by: A. Khoshkroodi, et al.
Published: (2024-01-01) -
COVID-19 certificate as a cutting-edge issue in changing the perception of restaurants’ visitors—Illustrations from Serbian urban centers
by: Tamara Gajić, et al.
Published: (2022-10-01) -
Diabetic Retinopathy Prediction by Ensemble Learning Based on Biochemical and Physical Data
by: Zun Shen, et al.
Published: (2021-05-01) -
Implementation of Ensemble Methods on Classification of CDK2 Inhibitor as Anti-Cancer Agent
by: Isman Kurniawan, et al.
Published: (2023-02-01)