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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berkeley, CA :
Apress : Imprint: Apress,
2018.
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Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.