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A perfect classifying model should have a 100% level of accuracy for the "correct" nodes and the "wrong" nodes.
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The point (0,1) is the perfect classifier: it classifies all positive cases and negative cases correctly.
At arrival, CKD-EPI and rG-CystC showed an almost perfect agreement, classified almost the same patients as having CKD, but at discharge their agreement was substantially lower and they showed an important discrepancy in CKD classification that reached statistical significance.
Applying the majority voting rule on the classification scores of all short-time windows extracted from the entire frame, the proposed method achieves perfect result in classifying the Doppler spectrogram.
According to the results both accelerometers provided virtually equal MAD values up to about 700 mg and showed almost perfect agreement in classifying activities into light, moderate and vigorous categories with marginal misclassification rate.
Only perfect matches were classified as candidate piRNAs.
The results of the cross-validations are near perfect with single samples classifying wrongly.
All motifs having continuous uninterrupted repeats were classified as perfect and those containing more than one class of repeats were classified as compound.
The six-page memo, entitled "The Perfect Storm," is still classified.
The former are classified as perfect duties, the latter as imperfect.
Most of the SSRs found were classified as perfect (67.5%).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com