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

Table 2

The recall rate obtained by each classifier combined with different feature extraction methods.

Classifier feature extraction	Adaboost	DT	SVM	LR	RF	FWA-RF
MFCC	0.712	0.673	0.650	0.654	0.702	0.732
WPC	0.728	0.679	0.612	0.644	0.688	0.725
FP	0.683	0.652	0.605	0.627	0.662	0.711