4 SVM Classification of Audio Records Support Vector Machine (SVM)is a supervised machine learning algorithm which is mostly used for classification. In our current problem, we want to use it classify between two classes (1 and 0) which represent male/female. In the SVM algorithm, a data item represented by n-features are plotted in an n-dimensional space with the value of each feature being the value of a particular coordinate. Then, classification is done by finding the plane that differentiate the two classes very well MATLAB provides a set of functions that can be used to efficiently train (and test) SVM classifiers (and other machine learning algorithms In particular we are going to use the svmtrain and svmclassify MATLAB functions. The svmtrain function takes two inputs: 1 A matrix containing the training data itenm recorded rowwise; 2) a column vector representing the labels associated with each row in the training matrix. The labels should take values (0 or 1). The function returns a structure representing the SVM classifier The svmclassify function takes two inputs1) The structure representing the SVM classifier to use (the one trained by svmtrain); 2) A matrix containing the data we need to classify where each data item represents a row. The function returns the classification performed by the SVM for each row; a 0-1 vector Task 2: Train an SVM classifier using the training audio snippets trainAudiorecords and their labels trainAudiolabels. Classify the test audio snippets (recorded row-wise) in testAudiorecords using you the test data? r trained SVM. What is accuracy of the SVM classification on