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

Table 3

Feature list.

		Statistics	Description
F1	Central tendency	Mean	Average value of a set
F2		Median	Middle value of a set
F3		Mode	Most common value of a set
F4	Dispersion	Standard deviation	Spread of the values in a set
F5		Variance
F6	Shape	Skewness	Distribution asymmetry
F7		Kurtosis	Distribution tailedness
F8	Length (interval)	Maximum	Largest value of a set
F9		Minimum	Smallest value of a set
F10		Sum	Sum of all values of a set