- Category:
- AI-NN-PR
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- Update:
- 2008-10-13
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Description: ID3 decision tree procedures, including training and test data. Input for the selection of the original training data set and test data set percentage, such as 0.25. According to the experimental requirements, the test data are the election of all, ancient capital input 1. Output requirements for the experimental results of the experimental data.
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- [ID3code] - id3 decision tree algorithms to generate
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- [empca] - Algorithm EMPCA function code, attached
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