In this task2 , you need run the program and plot the accuracy and loss results. Accuracy is perhaps the best-known Machine Learning model validation method used in classification problems. Accuracy tells the percentage of accurate predictions. We calculate it by dividing the number of correct predictions by the total number of predictions. Machines learn by means of a loss function. Its a method of evaluating how well specific algorithm models the given data. If predictions deviate too much from actual results, loss function would cough up a very large number.