	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	521	 	1	 	 	 	 	 	57	 	 	10	
<VO>	 	21	 	 	 	 	 	 	5	 	 	 	
<PP>	 	 	39	 	 	1	 	 	 	 	 	1	
<GL>	 	 	 	 	 	 	 	 	 	 	 	 	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	 	 	 	131	 	 	2	 	 	1	
<PU>	 	 	 	 	 	 	 	 	 	 	 	 	
<JN>	5	2	 	 	 	 	5	466	 	 	3	9	
<AU>	3	 	 	 	 	 	 	 	884	 	 	1	
<FL>	 	 	 	 	 	 	 	 	 	115	 	 	
<NG>	 	4	 	 	 	6	 	6	 	12	63	11	
<DE>	 	 	 	 	 	 	 	 	 	2	 	317	


f <TI>	train#=7308	Ori#=589	Ext#=529	Cor#=521	R=88.46	P=98.49	f=93.2

f <VO>	train#=645	Ori#=26	Ext#=27	Cor#=21	R=80.77	P=77.78	f=79.25

f <PP>	train#=1661	Ori#=41	Ext#=40	Cor#=39	R=95.12	P=97.5	f=96.3

f <GL>	train#=987	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

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

f <DA>	train#=1351	Ori#=134	Ext#=138	Cor#=131	R=97.76	P=94.93	f=96.32

f <PU>	train#=540	Ori#=0	Ext#=5	Cor#=0	R=	P=0	f=

f <JN>	train#=7000	Ori#=490	Ext#=472	Cor#=466	R=95.1	P=98.73	f=96.88

f <AU>	train#=8239	Ori#=888	Ext#=948	Cor#=884	R=99.55	P=93.25	f=96.3

f <FL>	train#=927	Ori#=115	Ext#=129	Cor#=115	R=100	P=89.15	f=94.26

f <NG>	train#=751	Ori#=102	Ext#=66	Cor#=63	R=61.76	P=95.45	f=75

f <DE>	train#=5986	Ori#=319	Ext#=350	Cor#=317	R=99.37	P=90.57	f=94.77

-------------------------------------
<TI> recall=521.0/589.0=88.46	precision=521.0/529.0=98.49	fScore=93.2

<VO> recall=21.0/26.0=80.77	precision=21.0/27.0=77.78	fScore=79.25

<PP> recall=39.0/41.0=95.12	precision=39.0/40.0=97.5	fScore=96.3

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

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

<DA> recall=131.0/134.0=97.76	precision=131.0/138.0=94.93	fScore=96.32

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

<JN> recall=466.0/490.0=95.1	precision=466.0/472.0=98.73	fScore=96.88

<AU> recall=884.0/888.0=99.55	precision=884.0/948.0=93.25	fScore=96.3

<FL> recall=115.0/115.0=100	precision=115.0/129.0=89.15	fScore=94.26

<NG> recall=63.0/102.0=61.76	precision=63.0/66.0=95.45	fScore=75

<DE> recall=317.0/319.0=99.37	precision=317.0/350.0=90.57	fScore=94.77

