Fig. 4: Scatterplot matrix of some selected features using recursive feature elimination. | Nature Communications

Fig. 4: Scatterplot matrix of some selected features using recursive feature elimination.

From: Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

Fig. 4

This figure shows selected ECG features with the two-dimensional display scatterplot matrices. These plots show how linear correlations fail to separate patients with or without acute coronary syndrome (ACS), which explains why nonlinear classifiers were computationally favored over linear classifiers in our study.

Back to article page