A) Features.csv file contain lexical, syntatic and sematic featues extracted from the dataset http://web.eecs.umich.edu/~mihalcea/downloads.html#saga
B) main_test.py contains the python code for caculating similarity scores between reference and student answers.
C) F-SAG.ipynb file have machine learning classifiers.
- Linear Regression
- Support Vector Regressor
- Gradient Boosting Regressor
- Random Forest Regressor