10.1371/journal.pone.0191064.g003 Jianfang Cao Jianfang Cao Yanfei Li Yanfei Li Yun Tian Yun Tian Comparison of the average classification accuracies of different algorithms for different numbers of classification categories. Public Library of Science 2018 personalities show classification system classification accuracies single-node architecture Hadoop cluster environment training sample size Support Vector Machine image classification mood factors scene images image semantics Emotional modelling KNN-SVM algorithm training time network technology k-Nearest Neighbour programming model SUN Database classification effect cluster environment OCC emotion model 2018-01-10 18:44:11 Figure https://plos.figshare.com/articles/figure/Comparison_of_the_average_classification_accuracies_of_different_algorithms_for_different_numbers_of_classification_categories_/5776518 <p>Comparison of the average classification accuracies of different algorithms for different numbers of classification categories.</p>