- Category:
- AI-NN-PR
- Tags:
-
- File Size:
- 3kb
- Update:
- 2018-03-31
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- Uploaded by:
- 三火123456
Description: The core idea of a classified decision tree is to find an optimal feature in a data set, and then find an optimal candidate value from the selected value of this feature, and divide the data set into two sub data sets according to the optimal candidate value, and then recurse the above operation until the specified condition is satisfied
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| Ch03\.gitignore | 28 | 2015-12-31
|
| Ch03\classifierStorage.txt | 101 | 2015-12-31
|
| Ch03\lenses.txt | 795 | 2015-12-31
|
| Ch03\treePlotter.py | 3911 | 2015-12-31
|
| Ch03\trees.py | 4170 | 2015-12-31
|
| Ch03 | 0 | 2017-12-20 |
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