Why Is Rule Learning Optimistic and How to Correct It

Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that appears to be best. This mechanism can easily find random patterns in the data which will

• Type: Conference
• Year: 2006
• Where: ECML
• Authors: Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko
• Keywords: Algorithms Compare Estimations, Data Sets, ECML 2006, Machine Learning, Rule Evaluation Functions