How to obtain the second most frequent label using mode function
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% 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;
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Steven Lord
am 6 Sep. 2019
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.
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