KNN algorithm is a simple and efficient algorithm developed to solve classification problems. However, it encounters …

Wrapper Subset Evaluator method for feature selection to increase the overall performance of the classification model. They … have also used Bayes Network, Classification and Regression Tree (CART), Radial Basis Function Network (RBFN) and J48 … classifier for classification of CKD and non-CKD data. The proposed genetic search based feature selection technique (GSBFST …

techniques like cluster analysis (CA) and classification (CLA) was applied and to assess the quality of the water for drinking, a …

classification using feed foreword neural network trained by grey wolf optimization algorithm. The superiority of the GWO-FFNN is … evaluations show that the proposed approach is very robust, effective and gives better correct classification as compared to other …

classification by using Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) optimization techniques. …

efficient technique has been applied to find the best subset features, which achieves the highest accuracy in classification … classification accuracy of FS-SLOA is the best performing for different datasets. …