Given that we are learning rules from examples, this means that if the parents visit, the decision is already made. Hence we can put this at the top of the decision tree, and disregard all the ...

Boosting 10 is a machine-learning method used to combine ... In alternating decision trees, the levels of the tree alternate between standard question nodes and nodes that contain weights and ...

The following is a summary of “Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome ...

The best model was decision trees, which demonstrated an accuracy of 83%, a sensitivity of 0.83, a specificity of 1.00, and an F1 score of 0.83. (HealthDay News) — The combination of machine learning ...