Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions

<div>Performance evaluation of the proposed augmentation techniques by three classifiers (LDA, LOG, and SVM) for all feature subset lengths.</div>

Computational Intelligence and Neuroscience

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Figure 12

Figure 12: Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions 

Figure 12 | Supervised Machine Learning Based Noninvasive Prediction of Atrial Flutter Mechanism from P-to-P Interval Variability under Imbalanced Dataset Conditions 