We evaluated two machine learning models: Decision Tree and K-Nearest Neighbors (KNN) using several performance indicators. The results indicate that KNN achieves higher AUC and accuracy, but Decision ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...

A hierarchical tree that is used to make decisions in an if-then-else fashion. A type of supervised machine learning, a decision tree comprises decision nodes with two possible outcomes. See ...

The oblique decision tree is a popular choice in the machine learning domain for improving the performance of traditional decision tree algorithms. In contrast to the traditional decision tree, which ...

Research data and fraud prevention business Rep Data has launched a machine learning-led anti-survey fraud tool.

Subsequently, we experimented with thirteen software fault diagnosis Machine Learning (ML) models, i.e., Random Forest Regression, Linear Regression, Naïve Bayes, Decision Tree Classifier, Logistic ...

Machine Learning processing allows moving some algorithms from the application processor to the STMicroelectronics sensor, enabling consistent reduction of power consumption. Machine Learning ...

The machine learning “decision tree”. Animation: R2D3. Beyond supervised ML, the intelligence can be broken down further into unsupervised machine learning” and reinforcement learning. In unsupervised ...