Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study

undefined; Atsushi Matsumoto; Shin Aoki; Hayato Ohwada

Journal ArticleOPEN ACCESS

Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study

Matsumoto A
Aoki S
et al.

International Journal of Machine Learning and Computing (2016) 6(2) 145-148

DOI: 10.18178/ijmlc.2016.6.2.589

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Abstract

… function, SVM was better than random forest. By … SVM [4] and random forest [5] are often used in the drug discovery field [6], [7]. In this study, we compared random forest and SVM for …

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Matsumoto, A., Aoki, S., & Ohwada, H. (2016). Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study. International Journal of Machine Learning and Computing, 6(2), 145–148. https://doi.org/10.18178/ijmlc.2016.6.2.589

Comparison of Random Forest and SVM for Raw Data in Drug Discovery: Prediction of Radiation Protection and Toxicity Case Study

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