In this assignment, you will test different classifiers to find the best suitable configuration for the data provided. You will use Weka Data Mining Tool $1$ to analyze these variations. The data files are available on YUlearn. $1.$ train.csv is the data file that will be used to create train.arff file. $2.$ test.csv is the data file that will be used to create test.arff file. MNIST stands for the Modified National Institute of Standards and Technology database. It is a widely used dataset in the field of machine learning and computer vision. The MNIST dataset consists of a collection of $28$x$28$ pixel grayscale images of handwritten digits $(0$ through $9),$ along with their corresponding labels. You have $7997$ rows of train and $2003$ rows of test data.