`test-process` Related Article Results

In machine learning and artificial intelligence systems, model training and testing is the process by which a data-based system acquires learning capabilities and the accuracy of this learning is evaluated. Model training aims for an algorithm to learn patterns from given labeled data, while model testing seeks to measure the applicability of this learning to new, real-world data. These processes may vary across supervised, unsupervised, and reinforcement learning methods, but they share a simil