Weighted decision tree algorithm outperforms traditional methods in heart disease classification.
The article compares different algorithms for creating decision trees to predict heart disease. They looked at the traditional C4.5 and CART algorithms, as well as a new weighted decision tree algorithm. The weighted algorithm adjusts the importance of training examples based on a statistical method before building the tree. The researchers found that the weighted decision tree algorithm performed differently from the traditional ones when tested on both training and testing data for heart disease.
