Quick guide to XGBoost for model fitting
Gradient boosting is a technique that iteratively adds models to an ensemble through cycles.
- For each observation in the dataset, we produce predictions using the current ensemble. We combine the forecasts from each model in the ensemble to arrive at a prediction. 2.Calcuate loss function
- Use loss function to fit the model
- Add the model to ensemble
All the steps have been shown in our model created.