model | accuracy |
Robust logistic regression | 0.6944 |
inductive learning algorithms (decision tree) | 0.897 |
genetic algorithms | 0.94 |
neural networks without dropout | 0.903 |
SVM truncate = 100 | 0.9933 |
Truncate = 100 with four layers (added layer dense 16,200) with dropout rate 0.5 | 1.0000 with loss 0.0004 |
autoencoder (with decision tree) | 0.9933 |