Scikit-learn is returning coefficient of determination (R^2) values less than -1

Question

I\'m doing a simple linear model. I have

fire = load_data()
regr = linear_model.LinearRegression()
scores = cross_validation.cross_val_score(regr, fire.data, fir         


        

Answer 1

If you are getting negative regression r^2 scores, make sure to remove any unique identifier (e.g. "id" or "rownum") from your dataset before fitting/scoring the model. Simple check, but it'll save you some headache time.