在Octave中为每个分类器绘制带有单独标记的分类数据？

% 加载机器学习库
pkg load libsvm

% 准备分类数据
features = [1 2; 2 3; 3 4; 4 5; 5 6; 6 7];
labels = [1; 1; 1; 2; 2; 2];

% 训练分类器
model = svmtrain(labels, features, '-c 1 -g 0.1');

% 测试数据
test_features = [2.5 3.5; 4.5 5.5];
test_labels = [1; 2];

% 预测类别
[predicted_labels, accuracy, decision_values] = svmpredict(test_labels, test_features, model);

% 绘制分类数据
hold on;
scatter(features(labels==1, 1), features(labels==1, 2), 'r', 'filled');
scatter(features(labels==2, 1), features(labels==2, 2), 'b', 'filled');
scatter(test_features(predicted_labels==1, 1), test_features(predicted_labels==1, 2), 'ro');
scatter(test_features(predicted_labels==2, 1), test_features(predicted_labels==2, 2), 'bo');
legend('Class 1', 'Class 2', 'Predicted Class 1', 'Predicted Class 2');
hold off;