Model performance



1:What does ‘predictors’ mean here??? What is the use of it???

From cv_score to rmse values how can you say that it is better than the baseline model?? How can you say that it signifies over fitting???


By looking at the first picture, I believe the predictors are the independent variables. Here a function modelfit is defined where dtrain[predictors] represent the features and dtrain[target] is the target variable.

Secondly, I want to know if you are familiar with the concept of overfitting? Since some features have a very high coefficient value, the model is overfitting on these variables.


Not that much … is there any av article on over fitting??