CONTENTS  
1. INTRODUCTION  
2. BACKGROUND  
3. MACHINE LEARNING SETTINGS, DEFINITIONS AND SCENARIOS  
4. DISCRIMINATION MEASURES  
5. ANALYSIS OF CORE MEASURES  
6. RECOMMENDATIONS FOR RESEARCHERS AND PRACTITIONERS