lr_params is the list of parameters to train a LR model or Scorecard using in training_model.
lr_params(tree_control = list(p = 0.02, cp = 0.00000001, xval = 5,
maxdepth = 10), bins_control = list(bins_num = 10, bins_pct = 0.05,
b_chi = 0.02, b_odds = 0.1, b_psi = 0.03, b_gb = 0.15, mono = 0.2, gb_psi
= 0.15, kc = 1), best_lambda = "lambda.sim_sign", sp_values = NULL,
forced_in = NULL, obsweight = c(1, 1), lasso = TRUE,
vars_plot = TRUE, step_wise = TRUE, score_card = TRUE,
cor_p = 0.8, iv_i = 0.02, psi_i = 0.1, ...)the list of parameters to control cutting initial breaks by decision tree. See details at: get_tree_breaks
the list of parameters to control merging initial breaks. See details at: select_best_breaks,select_best_class
Metheds of best lanmbda stardards using to filter variables by LASSO.There are four methods: ("lambda.min", "lambda.1se", "lambda.05se" , "lambda.sim_sign") . Default is "lambda.sim_sign". See details at: get_best_lambda
Vaules will be in separate bins.e.g. list(-1, "Unknown") means that -1 & Unknown as special values.Default is NULL.
Names of forced input variables. Default is NULL.
An optional vector of 'prior weights' to be used in the fitting process. Should be NULL or a numeric vector. If you oversample or cluster diffrent datasets to training the LR model, you need to set this parameter to ensure that the probability of logistic regression output is the same as that before oversampling or segmentation. e.g.:There are 10,000 good obs and 500 bad obs before oversampling or under-sampling, 5,000 good obs and 3,000 bad obs after oversampling. Then this parameter should be set to c(10000/5000, 500/3000). Default is NULL..
Logical, if TRUE, variables filtering by LASSO. Default is TRUE.
Logical, if TRUE, plot distribution and correlation of input variables . Default is TRUE.
Logical, stepwise method. Default is TRUE.
Logical, transfer woe to a standard scorecard. If TRUE, Output scorecard, and score prediction, otherwise output probability. Default is TRUE.
The maximum threshold of correlation. Default: 0.8.
The minimum threshold of IV. 0.01 to 0.1 usually work. Default: 0.02
The maximum threshold of PSI. 0.1 to 0.3 usually work. Default: 0.1.
Other parameters
A list of parameters.