	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	785	6	 	 	 	1	 	78	11	 	10	11	
<VO>	19	248	 	 	 	 	 	 	 	 	 	8	
<PP>	 	 	443	3	 	1	 	 	2	 	7	4	
<GL>	3	 	 	109	 	6	 	2	8	 	 	14	
<OR>	9	4	 	3	97	7	 	 	 	 	 	11	
<DA>	 	1	3	 	 	381	 	28	 	1	 	7	
<PU>	 	 	 	 	 	 	9	 	 	 	 	 	
<JN>	104	17	 	5	 	2	2	713	3	 	 	28	
<AU>	48	 	 	 	2	 	 	 	967	 	 	37	
<FL>	3	 	 	 	 	2	 	38	1	335	 	10	
<NG>	54	1	 	 	1	1	 	39	3	 	34	4	
<DE>	18	 	 	1	 	 	 	5	4	 	 	963	


b <TI>	train#=6430	Ori#=902	Ext#=1043	Cor#=785	R=87.03	P=75.26	f=80.72

b <VO>	train#=677	Ori#=275	Ext#=277	Cor#=248	R=90.18	P=89.53	f=89.86

b <PP>	train#=1195	Ori#=460	Ext#=446	Cor#=443	R=96.3	P=99.33	f=97.79

b <GL>	train#=934	Ori#=142	Ext#=121	Cor#=109	R=76.76	P=90.08	f=82.89

b <OR>	train#=262	Ori#=131	Ext#=100	Cor#=97	R=74.05	P=97	f=83.98

b <DA>	train#=1479	Ori#=421	Ext#=401	Cor#=381	R=90.5	P=95.01	f=92.7

b <PU>	train#=376	Ori#=9	Ext#=11	Cor#=9	R=100	P=81.82	f=90

b <JN>	train#=5649	Ori#=874	Ext#=903	Cor#=713	R=81.58	P=78.96	f=80.25

b <AU>	train#=6703	Ori#=1054	Ext#=999	Cor#=967	R=91.75	P=96.8	f=94.2

b <FL>	train#=37	Ori#=389	Ext#=336	Cor#=335	R=86.12	P=99.7	f=92.41

b <NG>	train#=373	Ori#=137	Ext#=51	Cor#=34	R=24.82	P=66.67	f=36.17

b <DE>	train#=4800	Ori#=991	Ext#=1097	Cor#=963	R=97.17	P=87.78	f=92.24

-------------------------------------
<TI> recall=785.0/902.0=87.03	precision=785.0/1043.0=75.26	fScore=80.72

<VO> recall=248.0/275.0=90.18	precision=248.0/277.0=89.53	fScore=89.86

<PP> recall=443.0/460.0=96.3	precision=443.0/446.0=99.33	fScore=97.79

<GL> recall=109.0/142.0=76.76	precision=109.0/121.0=90.08	fScore=82.89

<OR> recall=97.0/131.0=74.05	precision=97.0/100.0=97	fScore=83.98

<DA> recall=381.0/421.0=90.5	precision=381.0/401.0=95.01	fScore=92.7

<PU> recall=9.0/9.0=100	precision=9.0/11.0=81.82	fScore=90

<JN> recall=713.0/874.0=81.58	precision=713.0/903.0=78.96	fScore=80.25

<AU> recall=967.0/1054.0=91.75	precision=967.0/999.0=96.8	fScore=94.2

<FL> recall=335.0/389.0=86.12	precision=335.0/336.0=99.7	fScore=92.41

<NG> recall=34.0/137.0=24.82	precision=34.0/51.0=66.67	fScore=36.17

<DE> recall=963.0/991.0=97.17	precision=963.0/1097.0=87.78	fScore=92.24

