F-SAG

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.

1. Linear Regression
2. Support Vector Regressor
3. Gradient Boosting Regressor
4. Random Forest Regressor