predict_GUESS function

predict_GUESS

returns calibrated predictions for the instances new using the trained GUESS calibration model build_guess_object. Two different evaluation methods are available. Method 1: returns the p-value for the score new under the distribution that is handed over in the build_guess_object

Method 2: returns the probability density value for the score new under the distribution that is handed over in the build_guess_object

predict_GUESS(build_guess_object, new, density_evaluation = 2,
  return_class_density = FALSE)

Arguments

• build_guess_object: output from the build_GUESS method
• new: vector of uncalibrated probabilities
• density_evaluation: which density evaluation method should be used to infer calculate probabilities, Default: 2
• return_class_density: if set to TRUE, class densities p(x|class) are returned, Default: FALSE

Returns

a list object containing the following components: - predictions: contains a vector of calibrated predictions

• pred_idx: which density evaluation method was used

• significance_test_set: the percentage of new instances that was evaluated using significant prediction estimates

• dens_case: a vector containing the p(x|case) values

• dens_control: a vector containing the p(x|control) values

Details

dens_case and dens_control are only returned when return_class_density is set to TRUE