In modern times, with the trending technology, for classification of Big Data it is ubiquitous that Deep Neural network algorithms are used. The experiment was carried out considering relatively smaller data. In this paper, we propose, a model Multiple Classifier System, in which the different classifiers are ensembled. We have ensembled different classifiers like LR, LDA, KNN, CART, NB, and SVM. To check the performance of the Multiple Classifier System, we have used Iris flower dataset. When the neural networks and the Multiple Classifier System was compared with the performance, the MCS has shown graduation increase in the results.
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