xgboost on data set with both categorical and numerical data

[mlauber71]

@Monira_Mahmoud you could take a look at this example also including xgboost

Decision tree learner seems to be overfitting

@akhtarameen the Decision tree of @aworker does a wonderful job. I wanted to see what else is possible so I took it up a notch. H2O.ai and XGBoost are able to do an even slighly better job with more correct classification (on the test set). [image] Admitteldly H2O.ai would add a further level of complication since it would use an ensemble of models to predict the outcome. If you data would differ over time very complicated models might also be less robust than a tree model. But from my expe…