Smote vs. Random Undersampling for Imbalanced Data - Car Ownership Demand Model
Author:
Publisher
University of Zilina
Subject
Transportation,Electrical and Electronic Engineering,Mechanical Engineering
Link
http://komunikacie.uniza.sk/doi/10.26552/com.C.2022.3.D105-D115.pdf
Reference31 articles.
1. CAR OWNERSHIP DEMAND MODELING USING MACHINE LEARNING: DECISION TREES AND NEURAL NETWORKS
2. Machine and Deep Learning Algorithms for Wearable Health Monitoring
3. Concentrations of Traffic Related Pollutants in the Vicinity of Different Types of Urban Crossroads
4. Effective data generation for imbalanced learning using conditional generative adversarial networks
5. Understanding household vehicle ownership in Singapore through a comparison of econometric and machine learning models
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