Abstract:In order to deal with classification for large data, data filtering and data cleansing are used as preprocessing methods. Generally it remove noisy data, misclassified data, errors and inconsistent data and results unreliable classification. Because sometimes cleaned data can also affect the prediction accuracy or other testing. In this paper, we performed analysis of misclassified data and identify how much data has been wrong classified. For future aspect, This misclassified data is need to be rectified to g… Show more
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