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Machine Learning Evaluation
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3 - Performance Measures I
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6 - Statistical Significance Testing
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9 - Conclusion
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8 - Recent Developments
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Contents
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7 - Datasets and Experimental Framework
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2 - Machine Learning and Statistics Overview
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Preface
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1 - Introduction
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Frontmatter
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Acronyms
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Appendix B - Additional Information on the Data
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Appendix C - Two Case Studies
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Bibliography
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5 - Error Estimation
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4 - Performance Measures II
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Evaluating Learning Algorithms
- A Classification Perspective
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Index
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Appendix A - Statistical Tables
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