The prediction analysis is the approach which can predict the future possibilities based on the current information. The diabetes prediction is the approach which is applied to predict the diabetes based on the various attributes. The diabetes dataset has various attributes and based on that attributes diabetes can be predicted. In the previous years approach of SVM is applied for the diabetes prediction. To improve accuracy of diabetes prediction voting based classification is applied in this paper. The proposed model is implemented in python and results are analyzed in terms of accuracy, execution time
CITATION STYLE
Kumar*, M., & Kumar, A. (2019). Ensemble Classification Model for Diabetes Prediction in Data Mining. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 1240–1243. https://doi.org/10.35940/ijrte.c5285.118419
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