[Retracted] An Information Entropy Embedding Feature Selection Based on Genetic Algorithm

Table 3

Comparison about classification accuracy.

	Cardiotocography (%)	Musk (%)	Parkinson speech (%)	Room occupancy estimation (%)	Spambase (%)
KNN	80.995	77.242	63.942	95.883	77.919
KNN with EEGA	98.401	84.953	99.327	97.166	87.981
DNN	91.624	81.029	95.481	97.956	91.936
DNN with EEGA	98.495	85.087	100	100	93.936
SVM	77.846	88.408	79.519	96.761	71.072
SVM with EEGA	98.401	89.510	99.808	97.344	89.785
RF	97.971	79.999	99.904	97.660	94.066
RF with EEGA	98.542	87.225	100	100	95.087