	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	728	 	1	 	 	 	 	48	3	4	 	8	
<VO>	 	41	4	 	 	 	 	28	 	 	 	27	
<PP>	 	 	216	 	 	3	3	6	 	 	 	 	
<GL>	 	 	3	154	 	 	 	1	 	 	 	4	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	 	 	 	87	 	 	 	 	 	 	
<PU>	 	 	 	 	 	 	7	1	 	 	 	 	
<JN>	31	 	 	 	 	3	 	826	 	 	 	11	
<AU>	2	 	 	 	 	 	 	 	984	 	 	1	
<FL>	 	 	 	 	 	 	 	 	 	 	 	 	
<NG>	 	 	 	 	 	 	 	 	 	 	20	 	
<DE>	1	 	 	 	 	 	 	 	 	 	 	589	


a <TI>	train#=7105	Ori#=792	Ext#=762	Cor#=728	R=91.92	P=95.54	f=93.69

a <VO>	train#=571	Ori#=100	Ext#=41	Cor#=41	R=41	P=100	f=58.16

a <PP>	train#=1474	Ori#=228	Ext#=224	Cor#=216	R=94.74	P=96.43	f=95.58

a <GL>	train#=825	Ori#=162	Ext#=154	Cor#=154	R=95.06	P=100	f=97.47

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

a <DA>	train#=1398	Ori#=87	Ext#=93	Cor#=87	R=100	P=93.55	f=96.67

a <PU>	train#=532	Ori#=8	Ext#=10	Cor#=7	R=87.5	P=70	f=77.78

a <JN>	train#=6619	Ori#=871	Ext#=910	Cor#=826	R=94.83	P=90.77	f=92.76

a <AU>	train#=8140	Ori#=987	Ext#=987	Cor#=984	R=99.7	P=99.7	f=99.7

a <FL>	train#=1042	Ori#=0	Ext#=4	Cor#=0	R=	P=0	f=

a <NG>	train#=833	Ori#=20	Ext#=20	Cor#=20	R=100	P=100	f=100

a <DE>	train#=5715	Ori#=590	Ext#=640	Cor#=589	R=99.83	P=92.03	f=95.77

-------------------------------------
<TI> recall=728.0/792.0=91.92	precision=728.0/762.0=95.54	fScore=93.69

<VO> recall=41.0/100.0=41	precision=41.0/41.0=100	fScore=58.16

<PP> recall=216.0/228.0=94.74	precision=216.0/224.0=96.43	fScore=95.58

<GL> recall=154.0/162.0=95.06	precision=154.0/154.0=100	fScore=97.47

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

<DA> recall=87.0/87.0=100	precision=87.0/93.0=93.55	fScore=96.67

<PU> recall=7.0/8.0=87.5	precision=7.0/10.0=70	fScore=77.78

<JN> recall=826.0/871.0=94.83	precision=826.0/910.0=90.77	fScore=92.76

<AU> recall=984.0/987.0=99.7	precision=984.0/987.0=99.7	fScore=99.7

<FL> recall=0.0/0.0=	precision=0.0/4.0=0	fScore=

<NG> recall=20.0/20.0=100	precision=20.0/20.0=100	fScore=100

<DE> recall=589.0/590.0=99.83	precision=589.0/640.0=92.03	fScore=95.77

