Assessing and Improving Prediction and Classification Theory and Algorithms in C++ /
Carry out practical, real-life assessments of the performance of prediction and classification models written in C++. This book discusses techniques for improving the performance of such models by intelligent resampling of training/testing data, combining multiple models into sophisticated committee...
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| Hlavní autor: | |
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| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berkeley, CA :
Apress,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9781484233368 |
| On-line přístup: |
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Obsah:
- 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.