Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

This retrospective cohort study introduces a novel, noninvasive classification ... Python 3.7 with several essential libraries: Scikit-learn (1.1.3) for implementing machine learning models, including ...

Abstract: We propose a Hybrid Quantum Classical Algorithm (HQCA) for image classification using a ... size of the dataset required to train the model we use a image augmentation layer for data ...

This project involves the classification of handwritten ... a lower-dimensional subspace. The LDA model is trained on the training data, and the training and test data are transformed into the LDA ...

Classification performance evaluations and comparisons between the authors' GFS model and three SVM kernels, linear ... treated in which we apply the standard scaler library found in Python. The ...

In this paper, using SVM classifier, I build a Multi-label text classification model for Arabic text ... dataset generated the best results with 82.2% accuracy. The model was build using Python.

SVM builds a model, maps the decision boundary for each class and specifies the hyperplane that separates the different classes. Increasing the distance between the classes by increasing the ...