Glossary

Approximation error refers to the disparity between an estimated value and the exact value – a crucial concept when dealing with numerical computations.

The Rete Algorithm is a vital pattern-matching module applied in devising rule-based systems. Expertly designed for maximizing efficiency, it rapidly applies numerous rules to large sets of data within a knowledge base, using a network-like nodal structure.

The Receiver Operating Characteristic Area Under Curve (ROC-AUC) is a crucial measure in machine learning, evaluating the binary classifier model’s performance by comparing true positive and false positive rates.