This study aimed to classify tomatoes based on their colorimetric characteristics, which influence consumer purchasing potential, using the decision tree algorithm. Tomatoes were categorized into two ...

allowing users to assemble algorithms from algorithm building blocks. This paper provides a comparison between students' acceptance of both black-box and white-box decision tree algorithms. For these ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms ... SciPy and Scikit-Learn (>=0.24.2). Python 3.6 ...

The Decision Tree algorithm is based on the data performed in 30 trials and is implemented to improve the speed recognition of the system. The design is capable of rendering fingerspelled alphabets ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Donald Trump blasts Putin ...