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Fig. C.1.
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Different splits of the labeled training–testing sample. Left: Normalized confusion matrices. Right: Corresponding classification reports. The splits are 80%/20% (top row), 60%/40% (middle row), and 50%/50% (bottom row). The subtitles of the left panels indicate the kernel type and model parameters.
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