TABLE 3.

Training performance outcome for LP-RF classifier (Note that the best performing feature set is shown in bold).

Feature set	HL	Micro average			Macro average
		P	R	F1	P	R	F1
AAC	0.1482	0.7744	0.6997	0.7352	0.7044	0.4699	0.5360
DC	0.1373	0.7915	0.7237	0.7561	0.7528	0.5007	0.5731
PseAAC1	0.1571	0.7599	0.6805	0.7180	0.6811	0.4384	0.5005
PseAAC2	0.1631	0.7502	0.6672	0.7062	0.6627	0.4156	0.4740
Combined feature set	0.1530	0.7688	0.6871	0.7248	0.7068	0.4385	0.5040