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.