Adding Tree and Tree

The document discusses building decision trees for classification using Scala and Hadoop. It demonstrates the process of learning a decision tree over multiple MapReduce steps to split a sample data set into groups based on attributes like color and height. Key aspects covered include using the Scalding and Algebird frameworks to implement a generic decision tree learner that can handle both binary and multi-class classification problems over large datasets in a distributed manner.