Fig. 2: Using the cross-validation scheme from “Cross-validation setup” for binary classification on unseen samples, the accuracies for each of the 400 runs are calculated and the distribution of the results is shown. | npj Biosensing

Fig. 2: Using the cross-validation scheme from “Cross-validation setup” for binary classification on unseen samples, the accuracies for each of the 400 runs are calculated and the distribution of the results is shown.

From: Noninvasive detection of lower extremity artery disease using multi-site photoplethysmographic signals and machine learning

Fig. 2

Each run is a 10-fold cross-validation, and mean accuracy and standard deviation are built up from this distribution. The mentioned mean accuracy here is 0.1 % higher than in the main text. This is due to the random choice of different cross-validations and the resulting minimal differences in the distribution if the evaluation scheme is repeated.

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