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How to analyse results of classification for time series + sliding windows

Ok, so the workaround I am using right now is the following. I don't know if it is optimal, but it is the best I could think of. Just to clarify, I want to compare classification algorithms. To do so, ...
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How to calculate the accuracy and error rate in confusion matrix?

The 58/102 in your example is TN/N which is specificity, and 23/48 is FN/P which is false negative rate, or 1-sensitivity. Refer to this page for more details.
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A metric for a big/medium/small ML classification

The F1 score is an evaluation metric for binary classifiers, so it is not very appropriate here (although it could be adapted). However, more important is that your problem is not a genuine ...
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