Predicting the use frequency of ride-sourcing by off-campus university students through random forest and bayesian network techniques
This study used a survey technique to investigate factors that motivate the adoption and the usage frequency of ride-sourcing among students in a Malaysia public university. Two of the most broadly used machine learning techniques, Random Forest technique and Bayesian network analysis were applied i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Elsevier Ltd.
2020
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| Subjects: |