Stacked Ensembles for Advanced Predictive Modeling With H2O.ai and Optuna

And how I placed top 10% in Europe’s largest machine learning competition with them!

We all know that ensemble models outperform any singular model at predictive modeling. You’ve probably heard all about Bagging and Boosting as common ensemble methods, with Random Forests and Gradient Boosting Machines as respective examples.

But what about ensembling different models together under a separate higher-level model? This is where stacked ensembles comes in. This article is …

data data science deep learning ensemble-learning machine learning