Logistic Regression | KNN | Decision Tree | AdaBoost | LSTM | CNN + GRU |
Solver: Liblinear | Neighbor no. = 6 | Max. Depth = 12 | Estimator = 100, Learning rate = 0.005 | Three layers: 2LSTM layer followed by 1 dense layer, Optimizer = Adam, Learning rate = 0.005, Batch size = 16. | Four layers: 1 1-D convolution layer followed by 1 dense layer, 1 GRU layer and 1 dense layer, Activation = softmax, Optimizer = Adam, Learning rate = 0.005, Batch size = 16. |