How is calculated the classification rate?
We have made a XGB model and obtained a accuracy = 0.88 on validation data ( 30% from the original training set) but when we have sent the result we have obtained only 0.71. why?
Maybe you are overfitting?
What are your exact parameter settings?
@hammerproject I shared my XGBoost solution in Share Your Approach thread. It scored .8247. Feel free to ask me any questions about my methodology.
here you can find our model
at the begin the model overfitting --> we don’t use cross-validation and use all the data for training
the final model scored 0.7688