Step through the mechanics behind common machine learning algorithms using compact healthcare examples. Each scene shows what changes at the current step, and the play control advances the process automatically.
The examples are teaching simplifications. In real health research, model choice also depends on study design, leakage control, calibration, external validation, and clinical utility.