Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records

Table 3

Mean and standard deviation (between brackets) of different classifier metrics obtained for the training and validation datasets for the 10 balanced data obtained using SMOTE techniques. For each balanced dataset, a cross validation method was carried out 30 times.

	Accuracy (%)		AUC (%)		Sensibility (%)		Specificity (%)		PPV (%)		NPV (%)
	Train	Validation	Train	Validation	Train	Validation	Train	Validation	Train	Validation	Train	Validation
C1	91.4 (1.1)	90.2 (1.8)	91.3 (1.3)	90.4 (2.1)	91.4 (1.1)	89.7 (1.6)	91.4 (1.1)	90.7 (1.9)	91.4 (1.1)	90.7 (1.9)	91.4 (1.1)	89.7 (1.6)
C2	95.5 (0.9)	94.2 (1.4)	95.4 (1.1)	94.5 (1.9)	95.6 (0.7)	93.7 (1.2)	95.5 (1.1)	94.7 (1.8)	95.5 (1.0)	94.7 (1.8)	95.6 (0.8)	93.8 (1.2)
C3	98.7 (1.0)	98.1 (1.6)	99.8 (1.1)	99.6 (1.9)	99.5 (0.8)	98.8 (1.3)	99.4 (1.3)	99.5 (0.021)	99.6 (1.2)	99.5 (2.0)	99.2 (0.8)	98.8 (1.3)
C4	98.6 (0.6)	98.3 (1.2)	99.6 (0.7)	98.9 (1.5)	99.8 (0.5)	97.9 (1.0)	99.5 (0.8)	98.8 (1.6)	99.5 (0.8)	98.8 (1.6)	99.8 (0.5)	97.9 (1.0)
C5	98.8 (1.3)	98.4 (2.0)	99.5 (1.5)	98.8 (2.2)	99.7 (1.3)	98.8 (1.9)	99.4 (1.3)	98.9 (2.2)	99.6 (1.3)	99.1 (2.1)	99.8 (1.3)	98.9 (1.9)
C6	98.8 (1.0)	98.7 (1.6)	99.6 (1.3)	99.2 (2.1)	98.9 (0.8)	98.5 (1.3)	99.6 (1.2)	99.1 (2.0)	99.5 (1.2)	98.9 (2.0)	99.6 (0.8)	98.8 (1.3)
C7	98.7 (1.0)	98.5 (1.7)	99.8 (1.2)	99.5 (1.9)	99.3 (0.8)	99.0 (1.3)	99.6 (1.3)	99.4 (2.1)	99.7 (1.3)	99.1 (2.1)	99.7 (0.8)	99.2 (1.3)
C8	99.1 (0.7)	98.8 (1.3)	99.7 (0.7)	99.0 (1.5)	99.7 (0.5)	99.1 (1.5)	99.7 (0.8)	99.2 (1.7)	99.5 (0.8)	98.8 (1.7)	99.8 (0.5)	99.5 (1.0)
C9	98.8 (1.3)	98.6 (2.0)	99.7 (1.5)	99.3 (2.3)	99.5 (1.3)	99.0 (1.8)	99.5 (1.3)	99.5 (2.1)	99.8 (1.3)	96.5 (2.1)	99.8 (1.3)	99.3 (1.8)
C10	98.7 (0.9)	98.2 (1.5)	99.8 (1.2)	99.4 (2.0)	99.7 (0.8)	99.8 (1.2)	99.7 (1.1)	99.5 (1.9)	99.7 (1.1)	99.4 (1.9)	99.8 (0.8)	99.8 (1.3)