In supervised machine learning, class imbalance is commonly occurring when the number of examples that represent one much lower than other classes. Since an data may generate suboptimal classification models, it could lead to minority are misclassified frequently and hardly achieving best performance. This study proposes improved support vector (SVM) method for imbalanced namely as SVM-GA by op...

Text classification is one of the areas where machine learning algorithms are used. The size dataset and methods used for converting textual words into vectors play a major role in classifying them. This paper proposes heuristic based approach to classify documents using Genetic Algorithm aided Support Vector Machines (SVM) Ensemble Learning approach. real valued representation data done on app...