Train and evaluate decision trees
- Python 100%
| decision_tree | ||
| .gitignore | ||
| readme.md | ||
| wine_quality.py | ||
| winequality-red.csv | ||
Train and evaluate decision trees
- pure Python
- no dependencies outside the stdlib
Terminology
| my term | synonyms elsewhere |
|---------+--------------------|
| label | class |
| row | example, instance |
| column | feature |
TODO
- train
- predict
- tree metrics
- output a probaility distribution instead of a label
tree metrics
- accuracy
- precision
- recall
- F-measure
- AUROC