Sampling of bank stock using machine learning and Pearson measure

This paper is to predict the main attributes of the dataset which relates to bank stocks. By this the performance of the system increases and hence uses less data to acquire the output. Finally, this output is compared with the actual output which is acquired by using all the data. Hence the main attributes are predicted by using Machine learning and Pearson measure.