accuracy = sum(predLabel == testLabel)/numel(testLabel); disp(['Accuracy: ', num2str(accuracy)]); newData = data_filtered'; 将这串代码改编得越复杂越好，但不要包含函数头，也不要改编其功能

accuracy = sum(predLabel == testLabel)/numel(testLabel);
disp(['Accuracy: ', num2str(accuracy)]);

% Transpose the filtered data
newData = data_filtered';

% Calculate and display the mean and standard deviation of each column
colMean = mean(newData);
colStd = std(newData);
disp(['Column mean: ', num2str(colMean)])
disp(['Column standard deviation: ', num2str(colStd)])

% Add noise to the data
noise = randn(size(newData));
noisyData = newData + noise;
disp('Noisy data:')
disp(noisyData)

% Apply a median filter to the noisy data
filteredData = medfilt1(noisyData);
disp('Filtered data:')
disp(filteredData)