	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	781	 	3	2	 	 	9	75	19	7	 	15	
<VO>	2	59	25	 	 	1	 	 	6	 	 	27	
<PP>	 	 	198	 	 	 	 	 	 	 	 	 	
<GL>	2	 	1	158	 	2	 	 	5	 	 	4	
<OR>	 	 	 	 	38	3	 	67	 	 	35	19	
<DA>	 	 	2	 	 	221	 	 	 	 	 	2	
<PU>	 	 	2	1	 	 	12	 	 	 	 	 	
<JN>	25	 	16	16	14	 	4	827	6	25	17	18	
<AU>	 	 	4	 	 	 	 	 	553	 	 	4	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	 	 	 	 	 	 	9	 	12	12	2	
<DE>	3	 	 	1	 	1	 	3	3	 	 	649	


d <TI>	train#=6986	Ori#=911	Ext#=813	Cor#=781	R=85.73	P=96.06	f=90.6

d <VO>	train#=551	Ori#=120	Ext#=59	Cor#=59	R=49.17	P=100	f=65.92

d <PP>	train#=1504	Ori#=198	Ext#=251	Cor#=198	R=100	P=78.88	f=88.2

d <GL>	train#=815	Ori#=172	Ext#=178	Cor#=158	R=91.86	P=88.76	f=90.29

d <OR>	train#=27	Ori#=162	Ext#=52	Cor#=38	R=23.46	P=73.08	f=35.51

d <DA>	train#=1260	Ori#=225	Ext#=228	Cor#=221	R=98.22	P=96.93	f=97.57

d <PU>	train#=525	Ori#=15	Ext#=25	Cor#=12	R=80	P=48	f=60

d <JN>	train#=6522	Ori#=968	Ext#=981	Cor#=827	R=85.43	P=84.3	f=84.86

d <AU>	train#=8566	Ori#=561	Ext#=592	Cor#=553	R=98.57	P=93.41	f=95.92

d <FL>	train#=1042	Ori#=0	Ext#=44	Cor#=0	R=	P=0	f=

d <NG>	train#=818	Ori#=35	Ext#=64	Cor#=12	R=34.29	P=18.75	f=24.24

d <DE>	train#=5645	Ori#=660	Ext#=740	Cor#=649	R=98.33	P=87.7	f=92.71

-------------------------------------
<TI> recall=781.0/911.0=85.73	precision=781.0/813.0=96.06	fScore=90.6

<VO> recall=59.0/120.0=49.17	precision=59.0/59.0=100	fScore=65.92

<PP> recall=198.0/198.0=100	precision=198.0/251.0=78.88	fScore=88.2

<GL> recall=158.0/172.0=91.86	precision=158.0/178.0=88.76	fScore=90.29

<OR> recall=38.0/162.0=23.46	precision=38.0/52.0=73.08	fScore=35.51

<DA> recall=221.0/225.0=98.22	precision=221.0/228.0=96.93	fScore=97.57

<PU> recall=12.0/15.0=80	precision=12.0/25.0=48	fScore=60

<JN> recall=827.0/968.0=85.43	precision=827.0/981.0=84.3	fScore=84.86

<AU> recall=553.0/561.0=98.57	precision=553.0/592.0=93.41	fScore=95.92

<FL> recall=0.0/0.0=	precision=0.0/44.0=0	fScore=

<NG> recall=12.0/35.0=34.29	precision=12.0/64.0=18.75	fScore=24.24

<DE> recall=649.0/660.0=98.33	precision=649.0/740.0=87.7	fScore=92.71

