DTree

AI C++ Project (Decision Tree).

• A C++ approach to implement a Decision Tree from scratch using CART(Classifcation And Regression Trees) supervised learning algorithm.
• The Basic concept behind Decision Trees https://en.wikipedia.org/wiki/Decision_tree.
• Mathematical Description of Gini Impurity and Info Gain https://en.wikipedia.org/wiki/Decision_tree_learning#Gini_impurity.
• The project aims to predict your choice from a dataset represented as a 2D array in memory.
• You can make your own datasets as .txt files and train the model with them.
• Repository contains datasets(Top 100 richest athletes on Forbes, NBA Players from Draft, etc).
• Constraints:
  1. Every dataset needs at least 1 attribute for training.
  2. C++14 or above.