Machine Learning Models | Hyperparameter |
Boosted Random Forest | n estimators |
max depth | |
criterion | |
min samples split | |
min samples leaf | |
max features | |
Decision Tree | criterion |
max depth | |
min samples split | |
min samples leaf | |
max features | |
SVM | C |
kernel | |
KNN | N neighbors |
MLP ANN | number of hidden |
layers, | |
loss, | |
optimizer, | |
activation, | |
learning rate, | |
dropout rate, | |
epochs, | |
batch size, | |
early stop patience |