Compare the performance of various classification methods based on the real-world dataset.

Decision Tree, Random Forest and Logistic Regression are applied to a well-known dataset - Forest Cover Type. The benchmark of ROC can be found with stratified 10-fold cross-validation.

See the Evalution section in the attached report.

USYD 2017S1 COMP5318 Asignment 2

1. Append covtype dataset under data folder
2. Change work directory to code folder
3. Execute 3 separate classi ers through python 3 interpretor with third part library mentioned in Hardware & Software part.
4. "python lr.py" for run Logistic Regression
5. "python dt.py" for Decision Tree
6. "python random-forest.py" for Random Forest

Report