Random Forest – Modeling The Titanic Voyage with R

David Carrasco Data Science Leave a Comment

What’s a Random Forest? Random Forest is a machine learning algorithm used normally for classification and regression tasks in supervised learning which consists on an ensemble or group of simple decision tree models to predict the value of a target variable based on a bunch of input variables. The main advantage regarding a simple decision trees is that reduces the …

Random Forest – The magic behind the algorithm

David Carrasco Data Science Leave a Comment

Random Forest is an ensemble model based on decision trees which is built through the Bagging technique used for classification and regression tasks in supervised learning (Although, it can be used in unsupervised learning too). Yes, it’s a bit more technical than the definition in the previous post, isn’t it? Well, let’s explain the main concept behind the Random Forest …