An algorithm based on decision trees and deep learning models to enhance images. The algorithm is simple, it does not always provide good results on already great images. The default maximum runtime ...

These features are then used to create classification model using decision tree. Sixty tuna's image from tree types tuna, Bigeye, Yellowfin, and Skipjack, were used in experiment. From experiment, it ...

The study aims to increase the number of abnormal red blood cells that can be detected using image processing. This study used Decision-Tree Algorithm as a machine learning algorithm in classifying.

Internally, GeneticDecisionTree generates a set of scikit-learn decision trees, which are then converted into a structure specific to GeneticDecisionTrees (which makes the subsequent mutation and ...

[Click on image for larger view.] Figure 1: Binary Classification Using a scikit Decision Tree. ... After the first split, the decision tree algorithm examines each of the two subsets of data and ...

Decision tree data mining techniques perform four important functions. Decision trees: 1. Operate as a form of exploration tool on geological field data collected and stored in a database; ...