Table 2.

Traditional classification model evaluation.

Scholar	Methods or Objects	Accuracy
Malovichko [18]	Multivariate maximum likelihood Gaussian classifier	20% reclassify
Frantti and Levereault [21]	Spectrum analysis	2/3
Tayler [22]	Maximum likelihood Gaussian + BP neural network	95%
Jiang et al. [23]	FFT spectrum analysis
Zhao et al. [24]	Linear regression + Fisher discriminant	97.1%
Muller et al. [26]	Neural network	90%
Orlic and Loncaric [27]	Genetic algorithm	85%
Vallejos and McKinnon [17]	Logistic Regression and neural work	95%