	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1728	1	 	2	6	 	1	81	19	5	1	13	
<VO>	3	202	 	 	1	 	 	6	2	 	1	2	
<PP>	3	42	336	 	 	12	 	1	 	 	 	 	
<GL>	 	3	 	292	9	 	14	4	24	 	 	1	
<OR>	 	 	 	 	54	 	2	29	 	 	 	8	
<DA>	1	15	 	 	 	496	 	9	1	 	 	5	
<PU>	 	 	 	 	 	 	40	 	 	 	 	4	
<JN>	47	 	 	 	2	 	4	1442	 	 	 	8	
<AU>	5	1	 	2	128	 	2	9	1417	 	 	6	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	 	 	 	 	 	 	9	 	 	70	6	
<DE>	1	 	 	1	 	 	 	8	17	 	 	1080	


j <TI>	train#=13372	Ori#=1857	Ext#=1788	Cor#=1728	R=93.05	P=96.64	f=94.81

j <VO>	train#=1406	Ori#=217	Ext#=264	Cor#=202	R=93.09	P=76.52	f=83.99

j <PP>	train#=2963	Ori#=394	Ext#=336	Cor#=336	R=85.28	P=100	f=92.05

j <GL>	train#=1716	Ori#=347	Ext#=297	Cor#=292	R=84.15	P=98.32	f=90.68

j <OR>	train#=489	Ori#=93	Ext#=200	Cor#=54	R=58.06	P=27	f=36.86

j <DA>	train#=2858	Ori#=527	Ext#=508	Cor#=496	R=94.12	P=97.64	f=95.85

j <PU>	train#=881	Ori#=44	Ext#=63	Cor#=40	R=90.91	P=63.49	f=74.77

j <JN>	train#=12510	Ori#=1503	Ext#=1598	Cor#=1442	R=95.94	P=90.24	f=93

j <AU>	train#=15314	Ori#=1570	Ext#=1480	Cor#=1417	R=90.25	P=95.74	f=92.92

j <FL>	train#=1468	Ori#=0	Ext#=5	Cor#=0	R=	P=0	f=

j <NG>	train#=1278	Ori#=85	Ext#=72	Cor#=70	R=82.35	P=97.22	f=89.17

j <DE>	train#=10989	Ori#=1107	Ext#=1133	Cor#=1080	R=97.56	P=95.32	f=96.43

-------------------------------------
<TI> recall=1728.0/1857.0=93.05	precision=1728.0/1788.0=96.64	fScore=94.81

<VO> recall=202.0/217.0=93.09	precision=202.0/264.0=76.52	fScore=83.99

<PP> recall=336.0/394.0=85.28	precision=336.0/336.0=100	fScore=92.05

<GL> recall=292.0/347.0=84.15	precision=292.0/297.0=98.32	fScore=90.68

<OR> recall=54.0/93.0=58.06	precision=54.0/200.0=27	fScore=36.86

<DA> recall=496.0/527.0=94.12	precision=496.0/508.0=97.64	fScore=95.85

<PU> recall=40.0/44.0=90.91	precision=40.0/63.0=63.49	fScore=74.77

<JN> recall=1442.0/1503.0=95.94	precision=1442.0/1598.0=90.24	fScore=93

<AU> recall=1417.0/1570.0=90.25	precision=1417.0/1480.0=95.74	fScore=92.92

<FL> recall=0.0/0.0=	precision=0.0/5.0=0	fScore=

<NG> recall=70.0/85.0=82.35	precision=70.0/72.0=97.22	fScore=89.17

<DE> recall=1080.0/1107.0=97.56	precision=1080.0/1133.0=95.32	fScore=96.43

