Classification of Tropical Cyclone Risks in the Philippines using Random Forest
Author:
Affiliation:
1. Computer Science-College of Information and Computing Sciences; Research Center for Natural and Applied Sciences, University of Santo Tomas, Philippines
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3529836.3529916
Reference18 articles.
1. Classification of Disaster Risks in the Philippines using Adaptive Boosting Algorithm with Decision Trees and Support Vector Machine as Based Estimators
2. Cutler , Adele & Cutler, David & Stevens, John . ( 2011 ). Random Forests. 10.1007/978-1-4419-9326-7_5 . Cutler, Adele & Cutler, David & Stevens, John. (2011). Random Forests. 10.1007/978-1-4419-9326-7_5.
3. https://doi.org/10.1007/s10661-017-6025-0 https://doi.org/10.1007/s10661-017-6025-0
4. https://doi.org/10.1109/CCOMS.2018.8463238. https://doi.org/10.1109/CCOMS.2018.8463238.
5. https://doi.org/10.1016/j.asr.2018.04.030 https://doi.org/10.1016/j.asr.2018.04.030
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