[Retracted] A Novel Literary Translation Text Classification Method Based on Distributed Incremental Sequence Data Mining Algorithm

Table 6

Experimental results on the 20-Newsgroups dataset.

Method	Category	Feature extraction	Recall	Precision	F1
SVM	COMP	IG	0.6555	0.7349	0.6929
		MI	0.5445	0.5700	0.5569
	REC	IG	0.6294	0.6624	0.6455
		MI	0.5153	0.5284	0.5217
	SCI	IG	0.6868	0.8192	0.7472
		MI	0.6093	0.7016	0.6522
	TALK	IG	0.5603	0.6284	0.5924
		MI	0.4654	0.4992	0.4817
RF	COMP	IG	0.6534	0.6816	0.6672
		MI	0.5609	0.6363	0.5962
	REC	IG	0.7180	0.8670	0.7855
		MI	0.5924	0.6186	0.6052
	SCI	IG	0.5904	0.6268	0.6081
		MI	0.5244	0.5713	0.5469
	TALK	IG	0.7536	0.7723	0.7628
		MI	0.6180	0.7087	0.6602
Proposed	COMP	IG	0.6923	0.7550	0.7223
		MI	0.5888	0.7105	0.6440
	REC	IG	0.6668	0.7271	0.6957
		MI	0.5471	0.6205	0.5815
	SCI	IG	0.7989	0.8315	0.8149
		MI	0.6561	0.7127	0.6832
	TALK	IG	0.6012	0.6266	0.6136
		MI	0.5341	0.6204	0.5740