| Literature DB >> 29295543 |
Hyoseon Jeon1, Woongwoo Lee2, Hyeyoung Park3, Hong Ji Lee4, Sang Kyong Kim5, Han Byul Kim6, Beomseok Jeon7, Kwang Suk Park8.
Abstract
Entities:
Year: 2017 PMID: 29295543 PMCID: PMC5795920 DOI: 10.3390/s18010033
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Performance of each optimized classifier *.
| Classifiers | Feature Selection Method | Acc. (%) | NAuC | RMSE |
|---|---|---|---|---|
| MF, | ||||
| Discriminant Analysis | PC1–PC2 | 83.97 | 0.977 | 0.479 |
| RBF SVM | MF, | 83.21 | 0.977 | 0.573 |
| Random Forest | MF, | 83.21 | 0.971 | 0.437 |
| kNN | MF, | 83.21 | 0.966 | 0.510 |
| Linear SVM | PC1–PC2 | 82.44 | 0.972 | 0.446 |
| Polynomial SVM | PC1–PC2 | 80.92 | 0.972 | 0.486 |
* The contents of this table are arranged in order of accuracy. † The 95% confidence intervals are provided for accuracy in parentheses.