Logistic regression (LR)
LR is the most conventional approach to measure the relationship between discrete response variables and several covariates by estimating probabilities. It can be written as: The final optimal parameters of LR were set as follows: C = 100, random_state = 12, penalty = ’l1’, solver = ’liblinear’. Other parameter factors were set as default in sklearn software module.