Mapping ML Scores to Calibrated Predictions
get_ECE_equal_width
get_MCE_equal_width
getECE
getMCE
getRMSE
GUESS_CV
hist_binning_CV
plot_class_distributions
plot_model
predict_BBQ
predict_calibratR
BBQ_CV
binom_for_histogram
build_BBQ
build_GUESS
build_hist_binning
calibrate
calibrate_me
calibrate_me_CV_errors
compare_models_visual
evaluate_discrimination
format_values
get_Brier_score
get_CLE_class
get_CLE_comparison
predict_GUESS
predict_hist_binning
predict_model
rd_multiple_runs
reliability_diagramm
scale_me
statistics_calibratR
transform_me
uncalibrated_CV
visualize_calibrated_test_set
visualize_calibratR
visualize_distribution
visualize_error_boxplot
Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.