Is Decision Tree Obsolete in Its Original Form? A Burning Debate

Abstract

Decision trees are one of the oldest and most used (successful) machine learning algorithms. Over the years various modifications of decision tree have been proposed and implemented. In the recent past decision trees has many upgraded versions, including Random forests (RF), Random trees (RT), Distributed Decision trees (DDT) and Model Trees (MT) which are readily used nowadays. In this paper effort has been made to determine whether decision trees in its core form are still relevant in the era or obsolete.