JaanviG / Prediction-using-Decision-Tree-Algorithm

To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Prediction using Decision Tree Algorithm

(Note:- If you feel that this task has improved your abilities, don't forget to click the star icon in the upper right.)

To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

image

  • The Descision Tree Classifier is created and is visaulized graphically. Also the prediction was calculated using decision tree algorithm and accuracy of the model was evaluated.

About

To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.


Languages

Language:Jupyter Notebook 100.0%