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Assessing and Improving Prediction and Classification: Theory and Algorithms in C++

Assessing and Improving Prediction and Classification: Theory and Algorithms in C++

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1. Assessment of Numeric Predictions.- 2. Assessment of Class Predictions.- 3. Resampling for Assessing Parameter Estimates.- 4. Resampling for Assessing Prediction and Classification.- 5. Miscellaneous Resampling Techniques.- 6. Combining Numeric Predictions.- 7. Combining Classification Models.- 8. Gaiting Methods.- 9. Information and Entropy.- References.

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