... accuracy and diversity are very critical issues (Zhou, 2012). To achieve high diversity among the base learning algorithms, data-level or model-generation-level manipulation can be performed (Mendes-Moreira et al., 2012). The experimental results indicate that the presented classifier ensemble...

... in Cell2Cell, single baseline classifiers, ensemble classifiers are used for comparisons. Specifically, self-organizing map (SOM) clustering technique, and four other classifier techniques including decision tree, artificial neural networks, support vector machine, and K-nearest neighbors were used. Moreover...

... this type of problem, and advanced machine learning techniques, such as classifier ensembles and hybrid classifiers, provide better prediction performance than single machine learning based classification techniques. However, it is not known which type of advanced classification technique performs better...