Our median values range : 120K-265K, and avg.error is 157 K (result of RMSE).
How I can interpret that is overfitting, underfitting , or a good model?
I thought if I divide as like that: 157000/120000 and 157000/265000...I can get some inferences from them.
from sklearn.metrics import mean_squared_error as mse inst_pred = lin_reg.predict(instance_prepared) inst_mse = mse(instance_label, inst_pred ) inst_rmse = np.sqrt(inst_mse) print(inst_rmse)
(It is cited from Hands-on ML book.)