Pinaki Laskar on LinkedIn: #machinelearning #artificialintelligence #deeplearning

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What actually is the most important metric for the success of a machine learning / Artificial Intelligence model? It is accuracy and precision, or bias and variability, or trueness and repeatability of Classifications, binary or multiclass. It should correspond to some reference standard, as data benchmarks for images, audio, speech, text, etc. There could be high accuracy with low precision, low accuracy with high precision, or high accuracy with high precision. But It is disrupted by Real AI, Causal Machine Intelligence and Learning, or Transdisciplinary AI, Trans-AI.