Change the axis limits of a SVM plot

I trained a SVM classifier using "fitcsvm" and I got the graph shown below when the data was plotted. I want to make it more readable by reducing the range of axis. How to do it? The code I used is given below and the used datasets are attached.

    close all;
    clear all;

    load ImageDataSet.csv
    load ImageDataSetLabels.csv
    load PhotoshopPredict.csv

   %grp_idx = grp2idx(FeatureLabels);

    X = ImageDataSet(1:1763,:);
    y = ImageDataSetLabels(1:1763,:);
    X_new_data = PhotoshopPredict(1:end,:);

    %dividing the dataset into training and testing 
    rand_num = randperm(1763);

    %training Set
    X_train = X(rand_num(1:1410),:);
    y_train = y(rand_num(1:1410),:);

    %testing Set
    X_test = X(rand_num(1411:end),:);
    y_test = y(rand_num(1411:end),:);

    %preparing validation set out of training set

    c = cvpartition(y_train,'k',5);

     SVMModel = fitcsvm(X_train,y_train,'Standardize',true,'KernelFunction','RBF',...
    'KernelScale','auto','OutlierFraction',0.05);

    CVSVMModel = crossval(SVMModel);
    classLoss = kfoldLoss(CVSVMModel)
    classOrder = SVMModel.ClassNames

    sv = SVMModel.SupportVectors;

   figure
   gscatter(X_train(:,1),X_train(:,2),y_train)
   hold on
   plot(sv(:,1),sv(:,2),'ko','MarkerSize',10)
   legend('Resampled','Non','Support Vector')
   hold off

   X_test_w_best_feature =X_test(:,:);
   [c,score] = predict(SVMModel,X_new_data);

   saveCompactModel(SVMModel,'SVM1000Images');