	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	327	 	 	 	 	 	 	42	 	 	 	6	
<VO>	 	 	 	 	 	 	 	 	 	 	 	 	
<PP>	 	 	20	 	 	 	 	 	 	 	 	 	
<GL>	 	 	 	9	 	 	 	 	 	 	 	 	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	 	 	 	31	 	10	 	 	 	1	
<PU>	 	 	 	 	 	 	8	 	 	 	 	 	
<JN>	2	 	4	 	 	 	 	157	 	 	 	 	
<AU>	8	 	 	 	 	1	 	 	368	 	 	6	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	10	 	6	 	 	 	 	 	 	 	16	2	
<DE>	2	 	 	 	 	 	 	 	 	 	 	258	


j <TI>	train#=7522	Ori#=375	Ext#=349	Cor#=327	R=87.2	P=93.7	f=90.33

j <VO>	train#=671	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

j <PP>	train#=1682	Ori#=20	Ext#=30	Cor#=20	R=100	P=66.67	f=80

j <GL>	train#=978	Ori#=9	Ext#=9	Cor#=9	R=100	P=100	f=100

j <OR>	train#=189	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

j <DA>	train#=1443	Ori#=42	Ext#=32	Cor#=31	R=73.81	P=96.88	f=83.78

j <PU>	train#=532	Ori#=8	Ext#=8	Cor#=8	R=100	P=100	f=100

j <JN>	train#=7327	Ori#=163	Ext#=209	Cor#=157	R=96.32	P=75.12	f=84.41

j <AU>	train#=8744	Ori#=383	Ext#=368	Cor#=368	R=96.08	P=100	f=98

j <FL>	train#=1042	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

j <NG>	train#=819	Ori#=34	Ext#=16	Cor#=16	R=47.06	P=100	f=64

j <DE>	train#=6045	Ori#=260	Ext#=273	Cor#=258	R=99.23	P=94.51	f=96.81

-------------------------------------
<TI> recall=327.0/375.0=87.2	precision=327.0/349.0=93.7	fScore=90.33

<VO> recall=0.0/0.0=	precision=0.0/0.0=	fScore=

<PP> recall=20.0/20.0=100	precision=20.0/30.0=66.67	fScore=80

<GL> recall=9.0/9.0=100	precision=9.0/9.0=100	fScore=100

<OR> recall=0.0/0.0=	precision=0.0/0.0=	fScore=

<DA> recall=31.0/42.0=73.81	precision=31.0/32.0=96.88	fScore=83.78

<PU> recall=8.0/8.0=100	precision=8.0/8.0=100	fScore=100

<JN> recall=157.0/163.0=96.32	precision=157.0/209.0=75.12	fScore=84.41

<AU> recall=368.0/383.0=96.08	precision=368.0/368.0=100	fScore=98

<FL> recall=0.0/0.0=	precision=0.0/0.0=	fScore=

<NG> recall=16.0/34.0=47.06	precision=16.0/16.0=100	fScore=64

<DE> recall=258.0/260.0=99.23	precision=258.0/273.0=94.51	fScore=96.81

