Decision tree is a machine learning algorithm that can effectively predict student performance. However, the existing performance prediction models rarely analyze the impact of multiple factors on ...

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have ...

Abstract Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

A decision tree implementation from scratch using Python, NumPy and pandas for four cases of real/discrete features/output.

Decision Trees (DT) are popular machine learning models applied to both classification and regression tasks with known training algorithms such as CART [6], C4.5 [7], and boosted trees [8]. With fewer ...