The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

Abstract: In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule ...

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a ...

Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been ...

Six models—SVM, KNN, CatBoost, Naive Bayes, CNN, and LSTM—were evaluated, with CatBoost excelling in both binary classification (99.85% accuracy) and multiclass classification (99.82%), outperforming ...