[Retracted] An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model

Table 1

Accuracy obtained by each classifier combined with different feature extraction methods.

Classifier feature extraction	Adaboost	DT	SVM	LR	RF	FWA-RF
MFCC	0.725	0.693	0.655	0.667	0.713	0.747
WPC	0.731	0.689	0.648	0.672	0.704	0.725
FP	0.701	0.662	0.631	0.648	0.682	0.718