Test Accuracy for the AE-LSTM-FFN Algorithm
Test Accuracy for the Support Vector Machine algorithm
The best version of my algorithm achieves about 75% accuracy. The classical Support Vector Machine algorithm (SVM), however, has only 70% accuracy in average. In addition to the accuracy that my algorithm can achieve, it also has smaller variance, compared to the SVM. SVM algorithm has a variance around 20% in average, but my algorithm has only 5% variance due to the effectiveness of the autoencoder. In conclusion, the deep learning algorithm does outperform the classical algorithm.