Figure 1 | Scientific Reports

Figure 1

From: Prehospital diagnostic algorithm for acute coronary syndrome using machine learning: a prospective observational study

Figure 1

Relationship between the number of features and the area under the receiver operating characteristic curve for the prediction algorithm. The line plot depicts sequential changes in the AUC with the number of features for the prediction algorithm in (a) the training score (blue) and (b) the test score (yellow). The dotted vertical line indicates the highest predictive value in the test score. (n = 17, AUC of the training score = 0.881, AUC of the test score = 0.859). The error bars indicate 95% confidence intervals. AUC (area under the receiver operating characteristic curve).

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