The aim of this project is to print steps for every split in the decision tree from scratch and implementing the actual tree using sklearn. Iris dataset has been used, the continuous data is changed to labelled data. In this code gain ratio is used as the deciding feature to split upon.
The aim of this project is to print steps for every split in the decision tree from scratch and implementing the actual tree using sklearn. Iris dataset has been used, the continuous data is changed to labelled data. In this code gain ratio is used as the deciding feature to split upon.
The aim of this project is to print steps for every split in the decision tree from scratch and implementing the actual tree using sklearn. Iris dataset has been used, the continuous data is changed to labelled data. In this code gain ratio is used as the deciding feature to split upon.