How to obtain the second most frequent label using mode function

% Get groups of rows corresponding to each filename

[Fidx,Filenames] = findgroups(featuresTest.Filename);

result = table();

for idx = 1:length(Filenames)

T = featuresTest(Fidx==idx,2:end); % Rows that correspond to one file

predictedLabels = string(predict(trainedClassifier,T(:,1:15))); % Predict

totalVals = size(predictedLabels,1);

[predictedLabel, freq] = mode(categorical(predictedLabels)); % Find most frequently predicted label

match1 = freq/totalVals*100;

[Adam]

Do a setdiff to remove the mode and then run the mode again.

Answer 1

[Steven Lord]

Do you need to do this using the mode function?

If you're looking to compute the K most frequently predicted labels, I'd use histcounts in conjunction with maxk.