文件列表:

Data (0, 2017-08-27)
Data\train_in.csv (76335889, 2017-08-27)
Data\train_out.csv (1050153, 2017-08-27)
Src (0, 2017-08-27)
Src\decision_tree.py (10824, 2017-08-27)

# arXiv Decision Tree Classifier Full Python implementation of a decision tree classifier with pruning. Classifies arXiv abstracts by topic. Sample usage: ``` python decision_tree.py -h python decision_tree.py -i ../Data/train_in.csv -o ../Data/train_out.csv -f 400 -e 1.5 -s 1000 ``` A decision tree will be trained on `train_in.csv` and evaluated against `train_out.csv`. It will use 400 words as features and have an entropy threshold of 1.5, it will use 1000 examples to train the tree. Will produce a file `DTmetrics.txt` containing the performance metrics of the decision tree classifier.

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