Table 5.

Comparison of AUC scores of RF (random forest) combined with word frequency vector with that based on Manhattan distance and $d_2^{\ast }$ statistic when k=6

	Manhattan	$d_2^{\ast }$			RF-feat-1
		i.i.d.	1st−m c	2nd−m c
Bacillus	0.829	0.752	0.873	0.851	0.863
Escherichia	0.880	0.833	0.958	0.945	0.856
Lactococcus	0.767	0.775	0.828	0.750	1.000
Mycobacterium	0.976	0.977	0.966	0.984	0.985
Pseudomonas	0.951	0.934	0.974	0.970	0.981
Salmonella	0.837	0.818	0.900	0.900	0.896
Staphylococcus	0.964	0.941	0.947	0.974	0.987
Synechococcus	0.929	0.906	0.994	0.993	0.978
Vibrio	0.841	0.733	0.854	0.817	0.940

For the background model of $d_2^{\ast }$ statistic, we considered independent identically distributed (i.i.d.) model, first and second order Markov chains