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Table 1 Performance of the developed methods for recognizing off-sample ion images as evaluated on the gold standard of 23,238 ion images showing F1-score (F1), precision (P), and recall (R). For each measure, we show the average and confidence intervals (+ − two standard deviations) over five folds of the cross validation

From: OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images

 off-sampleon-sample
F1PRF1PR
Deep residual learning.97 (+/−.01).96 (+/−.03).98 (+/−.03).96 (+/−.04).97 (+/−.03).94 (+/−.07)
Semi-automated spatio-molecular biclustering, clusters curated for 2 datasets.96 (+/−.03).96 (+/−.07).96 (+/−.04).97 (+/−.01).97 (+/−.03).97 (+/−.03)
Spatio-molecular biclustering.93 (+/−.10).92 (+/−.10).94 (+/−.11).95 (+/−.06).95 (+/−.06).95 (+/−.06)
Molecular co-localization.90 (+/− .07).95 (+/− .08).86 (+/− .15).93 (+/− .05).91 (+/− .11).96 (+/− .07)
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