MODELING URBAN DYNAMICS USING RANDOM FOREST: IMPLEMENTING ROC AND TOC FOR MODEL EVALUATION

5 citations as recorded by crossref.

1. Generation of Radiometric, Phenological Normalized Image Based on Random Forest Regression for Change Detection D. Seo et al. 10.3390/rs9111163
2. Data Balancing Techniques for Predicting Student Dropout Using Machine Learning N. Mduma 10.3390/data8030049
3. Urban land use simulation and carbon-related driving factors analysis based on RF-CA in Shanghai, China L. Ye et al. 10.1016/j.ecolind.2024.112555
4. Mapping hourly population dynamics using remotely sensed and geospatial data: a case study in Beijing, China X. Zhao et al. 10.1080/15481603.2021.1935128
5. A Comparative Study of Machine Learning Techniques to Simulate Land Use Changes M. Ahmadlou et al. 10.1007/s12524-018-0866-z