Evaluation of multiple classification models including Support Vector Machine (SVM), Random Forest (RF), naïve Bayes (Bayes), Neural Network (NNT), K-Nearest Neighbor (KNN) and Logistic regression models via 10-fold cross-validation (10FCV).
- Pi Guo (578416)
- Qin Zhang (58638)
- Zhenli Zhu (578417)
- Zhengliang Huang (578418)
- Ke Li (106849)
Publication date
June 2014
DOIAbstract
<p>Evaluation of multiple classification models including Support Vector Machine (SVM), Random Forest (RF), naïve Bayes (Bayes), Neural Network (NNT), K-Nearest Neighbor (KNN) and Logistic regression models via 10-fold cross-validation (10FCV).</p
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