	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	686	 	 	 	 	2	 	42	2	 	2	5	
<VO>	 	33	 	 	 	 	 	1	 	 	 	4	
<PP>	 	4	161	 	 	 	 	 	 	 	 	1	
<GL>	 	 	 	32	 	 	 	 	 	 	 	 	
<OR>	 	3	2	 	16	 	 	9	 	 	 	6	
<DA>	 	 	 	3	 	105	 	 	 	 	 	 	
<PU>	 	 	 	2	 	 	19	7	 	 	 	 	
<JN>	46	10	 	4	33	 	 	395	7	 	 	30	
<AU>	 	11	 	15	4	 	 	2	1014	 	 	23	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	4	 	 	 	 	 	8	 	 	17	 	
<DE>	8	 	 	 	 	 	 	2	2	 	 	604	


i <TI>	train#=6593	Ori#=739	Ext#=740	Cor#=686	R=92.83	P=92.7	f=92.77

i <VO>	train#=914	Ori#=38	Ext#=65	Cor#=33	R=86.84	P=50.77	f=64.08

i <PP>	train#=1489	Ori#=166	Ext#=163	Cor#=161	R=96.99	P=98.77	f=97.87

i <GL>	train#=1044	Ori#=32	Ext#=56	Cor#=32	R=100	P=57.14	f=72.73

i <OR>	train#=357	Ori#=36	Ext#=53	Cor#=16	R=44.44	P=30.19	f=35.96

i <DA>	train#=1792	Ori#=108	Ext#=107	Cor#=105	R=97.22	P=98.13	f=97.67

i <PU>	train#=357	Ori#=28	Ext#=19	Cor#=19	R=67.86	P=100	f=80.85

i <JN>	train#=5998	Ori#=525	Ext#=466	Cor#=395	R=75.24	P=84.76	f=79.72

i <AU>	train#=6688	Ori#=1069	Ext#=1025	Cor#=1014	R=94.86	P=98.93	f=96.85

i <FL>	train#=426	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

i <NG>	train#=481	Ori#=29	Ext#=19	Cor#=17	R=58.62	P=89.47	f=70.83

i <DE>	train#=5175	Ori#=616	Ext#=673	Cor#=604	R=98.05	P=89.75	f=93.72

-------------------------------------
<TI> recall=686.0/739.0=92.83	precision=686.0/740.0=92.7	fScore=92.77

<VO> recall=33.0/38.0=86.84	precision=33.0/65.0=50.77	fScore=64.08

<PP> recall=161.0/166.0=96.99	precision=161.0/163.0=98.77	fScore=97.87

<GL> recall=32.0/32.0=100	precision=32.0/56.0=57.14	fScore=72.73

<OR> recall=16.0/36.0=44.44	precision=16.0/53.0=30.19	fScore=35.96

<DA> recall=105.0/108.0=97.22	precision=105.0/107.0=98.13	fScore=97.67

<PU> recall=19.0/28.0=67.86	precision=19.0/19.0=100	fScore=80.85

<JN> recall=395.0/525.0=75.24	precision=395.0/466.0=84.76	fScore=79.72

<AU> recall=1014.0/1069.0=94.86	precision=1014.0/1025.0=98.93	fScore=96.85

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

<NG> recall=17.0/29.0=58.62	precision=17.0/19.0=89.47	fScore=70.83

<DE> recall=604.0/616.0=98.05	precision=604.0/673.0=89.75	fScore=93.72

