Table 3 Algorithm performance comparison based on different data sets
UCI data set | Classes | SVM (support vector machine) (%) | SAE (spase auto encoder) (%) | DBN (deep Boltzmann machine) (%) |
|---|---|---|---|---|
Mnist | 10 | 89.9 | 93.67 | 91 |
Wine-class | 3 | 92.34 | 96.76 | 89.47 |
Letter | 5 | 91.30 | 97.44 | 98.38 |