Charla «Evaluating ML: When We will Stop Fooling Ourselves?»
📅 Martes 21 de abril | 11:00 hrs ML Evaluation is usually based on an average measure of success such as accuracy. This kind of evaluation has several drawbacks: (1) the model works well for easy instances but badly for difficult ones, but the actual real distribution is usually not known; (2) this assumes that…
