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Fig. 2 | Sports Medicine - Open

Fig. 2

From: Objective Classification of mTBI Using Machine Learning on a Combination of Frontopolar Electroencephalography Measurements and Self-reported Symptoms

Fig. 2

ROC analysis results for the TotalBoost classification algorithm applied to the set of 85 subjects made of injured and control classes. Three cases are shown: EEG-only (a, d, g), symptoms-only (b, e, h), and EEG plus symptoms (c, d, i). The first row plots the ROC curves, the second row plots the ordered scores, and the third row shows the score distribution for the three cases. The AUC average and maximum/minimum variation are given in the ROC plots (top). The distribution means and standard deviations are shown in the distribution plots (bottom)

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