# LINEAR REGRESSION
EPOCHS_lr: int = 2000
LEARNING_RATE: float = 5e-3
P: int = 2
LAMBDA_: float = 0.0
MAX_PATIENCE_lr: int = 200
DROPOUT: float = 0.0
RANDOM_STATE_lr: int = 41

# K-MEANS
EPOCHS_k: int = 25
MAX_PATIENCE_k: int = 5
RANDOM_STATE_k: int = 5

# MULTINOMIAL NAIVE BAYES
ALPHA_mnb: int = 0
