更改SVM图的轴限制

Question

我使用“ fitcsvm”训练了一个SVM分类器，绘制数据时得到的图形如下。我想通过减少轴的范围使其更具可读性。怎么做？下面提供了我使用的代码，并附上了使用的数据集。

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');