The metrics for binary models is AUC, F-score for categorical models and RMSE for continuous models. The higher the AUC, the better a model is at predicting the outcome. ADM selects features based on their individual univariate performance against the outcome, measured as the area under the curve (AUC) of a ROC graph. By default, the univariate performance threshold is set to 0.52 AUC. Those statements are copied from the official Pega training documents of PCDS (Pega Certified Data Scientist) exam. AUC is treated as an important performance metrics toRead More

Within two-month study (Oct and Nov, 2022), I passed the PCDC exam and the PCDS exam via self-learning from the official Pega Academy website. I got high scores (91 and 96 out of 100) for the two exams respectively. I would like to share the high levels of those exams. Hope it may help you on the journey. (I also passed the Pega Certified Senior System Architect (PCSSA) at Sept 2022.)   1.         Here are the two score reports and certificates as evidences.  ( to make you have confidence on thisRead More