Applying Metrics to Machine-Learning Tools: A Knowledge Engineering Approach

Alonso, Fernando, Mate, Luis, Juristo, Natalia, Munoz, Pedro L., Pazos, Juan

AI Magazine 

The field of knowledge engineering has been one of the most visible successes of AI to date. Knowledge acquisition is the main bottleneck in the knowledge engineer's work. The benchmark centers on the knowledge engineering viewpoint, covering some of the characteristics the knowledge engineer wants to find in a machine-learning tool. The proposed model has been applied to a set of machine-learning tools, comparing expected and obtained results.