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...
| Main Author: | Masters, Timothy (Author, http://id.loc.gov/vocabulary/relators/aut) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA :
Apress : Imprint: Apress,
2018.
|
| Edition: | 1st ed. 2018. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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