Ensemble is the process of combining the results of multiple prediction models to create a single prediction model.
In general, the use of ensembles in prediction models tends to improve prediction accuracy. Different algorithms have different strengths and weaknesses. By combining different algorithms to create a prediction model, the resulting prediction model can handle a wide variety of data.
Easy Predictive Analytics uses an ensemble. Easy Predictive Analytics makes all adjustments to the algorithm combinations and parameters automatically.
Easy Predictive Analytics uses neural networks, gradient boosting trees, and other algorithms to construct the ensemble.