1

I'm using xgboost to build a regression tree. I"m doing a GridSearch to find the optimal parameters. My training set has around 800 instances and I'm doing a CV = 3. Once the model is built, I see some issues in the residual plots. This is how the residual plots look like.

enter image description here

So There is an obvious decreasing pattern in the residual graph. Considering the fact that xgboost is very robust model, what can be wrong here?

HHH
  • 6,085
  • 20
  • 92
  • 164
  • Would be good to add what the data looks like, your code, and the hyperparameters values, from the graph alone it seems the model is not learning much and predicting averages.. – Franco Piccolo Jan 17 '19 at 17:47

0 Answers0