XGBoost Predictions all the same When I evaluate the model I seem to be getting a decent RMSE score but when I try to actually see the predictions when I call the model all my values are the same.

 xdata = xgboost.DMatrix(X_train, y_train, feature_names=all_vars)
 xdata_val = xgboost.DMatrix(X_valid, y_valid, feature_names=all_vars)
 xgb_parms['seed'] = random.randint(0,1e9)
 model = xgboost.train(xgb_parms, xdata)
 model.eval(xdata_val)
 ypred = model.predict(xdata_val)


I believe the error is on my last step, what am I doing wrong?
Make sure to pass the model an &quot;objective&quot; parameter and also use &quot;rmse&quot; for the &quot;eval_metric&quot; parameter.
https://github.com/dmlc/xgboost/blob/master/doc/parameter.rst