	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	321	 	1	 	 	 	 	68	2	 	4	22	
<VO>	 	21	 	 	 	 	 	 	 	 	 	 	
<PP>	 	 	26	 	 	 	 	 	 	 	 	 	
<GL>	 	 	2	77	 	 	 	2	2	 	 	2	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	4	 	 	109	 	14	 	 	 	1	
<PU>	 	 	 	 	 	 	 	 	 	 	 	 	
<JN>	15	5	2	 	 	 	 	351	 	 	 	9	
<AU>	 	 	4	 	 	 	 	 	368	 	 	6	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	 	 	 	 	 	 	3	 	 	10	 	
<DE>	 	 	1	 	 	 	 	7	1	 	 	184	


i <TI>	train#=7479	Ori#=418	Ext#=336	Cor#=321	R=76.79	P=95.54	f=85.15

i <VO>	train#=650	Ori#=21	Ext#=26	Cor#=21	R=100	P=80.77	f=89.36

i <PP>	train#=1676	Ori#=26	Ext#=40	Cor#=26	R=100	P=65	f=78.79

i <GL>	train#=902	Ori#=85	Ext#=77	Cor#=77	R=90.59	P=100	f=95.06

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

i <DA>	train#=1357	Ori#=128	Ext#=109	Cor#=109	R=85.16	P=100	f=91.98

i <PU>	train#=540	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

i <JN>	train#=7108	Ori#=382	Ext#=445	Cor#=351	R=91.88	P=78.88	f=84.89

i <AU>	train#=8749	Ori#=378	Ext#=373	Cor#=368	R=97.35	P=98.66	f=98

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

i <NG>	train#=840	Ori#=13	Ext#=14	Cor#=10	R=76.92	P=71.43	f=74.07

i <DE>	train#=6112	Ori#=193	Ext#=224	Cor#=184	R=95.34	P=82.14	f=88.25

-------------------------------------
<TI> recall=321.0/418.0=76.79	precision=321.0/336.0=95.54	fScore=85.15

<VO> recall=21.0/21.0=100	precision=21.0/26.0=80.77	fScore=89.36

<PP> recall=26.0/26.0=100	precision=26.0/40.0=65	fScore=78.79

<GL> recall=77.0/85.0=90.59	precision=77.0/77.0=100	fScore=95.06

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

<DA> recall=109.0/128.0=85.16	precision=109.0/109.0=100	fScore=91.98

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

<JN> recall=351.0/382.0=91.88	precision=351.0/445.0=78.88	fScore=84.89

<AU> recall=368.0/378.0=97.35	precision=368.0/373.0=98.66	fScore=98

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

<NG> recall=10.0/13.0=76.92	precision=10.0/14.0=71.43	fScore=74.07

<DE> recall=184.0/193.0=95.34	precision=184.0/224.0=82.14	fScore=88.25

