creditmodel (version 1.1.6)

pred_score: pred_score

Description

pred_score is for using logistic regression model model to predict new data.

Usage

pred_score(model, dat, x_list = NULL, bins_table = NULL,
  obs_id = NULL, miss_values = list(-1, "-1", "NULL", "-1", "-9999",
  "-9996", "-9997", "-9995", "-9998", -9999, -9998, -9997, -9996, -9995),
  woe_name = TRUE)

Arguments

model

Logistic Regression Model generated by training_model.

dat

Dataframe of new data.

x_list

Into the model variables.

bins_table

a data.frame generated by get_bins_table

obs_id

The name of ID of observations or key variable of data. Default is NULL.

miss_values

Special values.

woe_name

Logical. Whether woe variable's name contains 'woe'.Default is TRUE.

Value

new scores.

See Also

training_model, lr_params, xgb_params, rf_params