Emotion Modeling in Speech Signals: Discrete Wavelet Transform and Machine Learning Tools for Emotion Recognition System

Table 2

The results of different cross-validation techniques and comparison with machine learning classifiers, in emotion classification tasks.

Type	Cross-validation			Holdout validation			Resubstituting validation
	5	10	20	10	20	40
SVM	94.20	94.77	95.89	94.34	94.34	93.90	100.00
KNN	94.76	95.33	95.89	94.34	95.28	93.43	100.00
Efficient Logistic Regression	88.78	89.72	89.91	88.68	90.57	89.67	89.72
Naive Bayes	94.01	94.21	94.21	92.45	95.28	94.37	97.94
Ensemble	94.76	94.95	95.33	96.23	93.40	95.31	100.00
Neural Network	93.83	95.51	95.33	96.23	95.28	93.43	100.00