Early this year, the New Jersey Office of the Attorney General and Division on Civil Rights (the “DCR”) issued new guidance ...

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...

In this work, we propose a novel HyperNetwork Slide Decision Tree (HyperSDT) approach to achieve interpretable deep learning for tabular data while maintaining a comparable accuracy to ...

It’s crystal-clear that decision-making by algorithm can be imperfect. It’s also crystal-clear that decision-making by humans can be pretty imperfect, too. However, the imperfections across these two ...

Algorithms are part of the structure of AI, where simple algorithms are used in simple applications, while more complex ones help frame strong artificial intelligence. AI technology is apparent in ...

and Gradient Boosting Decision Trees were the most used. Particularly, the best possible results may be achieved by the gradient boosting models, RF and NNs. Additionally, machine learning models ...