This function calculates ROC Curves and AUC values with 95% confidence range. It also works for multi-categorical models.
ROC(tag, score, multis = NA)Vector. Real known label
Vector. Predicted value or model's result
Data.frame. Containing columns with each category score (only used when more than 2 categories coexist)
Other Machine Learning: clusterKmeans,
conf_mat, export_results,
gain_lift, h2o_automl,
h2o_predict_API,
h2o_predict_MOJO,
h2o_predict_binary,
h2o_predict_model,
h2o_selectmodel, impute,
iter_seeds, model_metrics,
mplot_conf, mplot_cuts_error,
mplot_cuts, mplot_density,
mplot_full, mplot_gain,
mplot_importance,
mplot_lineal, mplot_metrics,
mplot_response, mplot_roc,
mplot_splits, msplit
Other Calculus: conf_mat, corr,
deg2num, dist2d,
errors, loglossBinary,
mae, mape,
model_metrics, mse,
quants, rmse,
rsqa, rsq