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Size selected growth of nanodots: analytical prediction for the selected size

โœ Scribed by Riekki, K. A.


Book ID
119885228
Publisher
Springer
Year
2012
Tongue
English
Weight
260 KB
Volume
85
Category
Article
ISSN
1434-6036

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We evaluate the effectiveness of cross-validation in selecting the right-size model for decision tree and k-nearest neighbor learning methods. For samples with at least 200 cases, extensive empirical evidence supports the following conclusions relative to complexity-fit selection: (a) IO-fold cross-