Volkswagen has introduced a controversial new subscription service for its ID3 Pro and Pro S electric vehicles, tying the car’s full horsepower to a monthly or annual fee. The new model allows drivers ...
ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...
This code is meant to foster an in-depth understanding of the Decision Tree Algorithm used in Machine Learning. No ML algorithms like Scikit-learn, PyTorch or TensorFlow has been used. This is ...
Abstract: In mining data streams the most popular tool is the Hoeffding tree algorithm. It uses the Hoeffding's bound to determine the smallest number of examples needed at a node to select a ...
The rapid growth of mHealth applications for Type 2 Diabetes Mellitus (T2DM) patients' self-management has motivated the evaluation of these applications from both the usability and user point of view ...
Intrusion detection system plays an important role in network security. Early detection of the potential attacks can prevent the further network intrusion from adversaries. To improve the ...
Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
ABSTRACT: The information gained after the data analysis is vital to implement its outcomes to optimize processes and systems for more straightforward problem-solving. Therefore, the first step of ...
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