	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1480	 	 	10	4	 	2	76	65	 	9	12	
<VO>	5	78	 	 	 	 	 	1	7	 	 	2	
<PP>	 	6	165	 	 	7	 	 	 	 	 	2	
<GL>	2	 	 	23	1	 	1	 	 	 	 	2	
<OR>	1	 	 	 	5	 	 	 	 	 	 	 	
<DA>	2	 	 	 	 	236	 	13	2	 	 	 	
<PU>	2	 	 	 	 	 	74	 	 	 	 	2	
<JN>	33	2	1	 	5	 	8	966	6	1	 	3	
<AU>	9	 	 	5	15	 	2	4	1747	 	 	2	
<FL>	 	 	 	 	 	 	 	 	 	119	 	 	
<NG>	12	8	 	 	 	6	 	24	 	20	114	4	
<DE>	5	 	 	 	 	 	 	14	5	3	3	1051	


i <TI>	train#=13571	Ori#=1658	Ext#=1551	Cor#=1480	R=89.26	P=95.42	f=92.24

i <VO>	train#=1530	Ori#=93	Ext#=94	Cor#=78	R=83.87	P=82.98	f=83.42

i <PP>	train#=3177	Ori#=180	Ext#=166	Cor#=165	R=91.67	P=99.4	f=95.38

i <GL>	train#=2034	Ori#=29	Ext#=38	Cor#=23	R=79.31	P=60.53	f=68.66

i <OR>	train#=576	Ori#=6	Ext#=30	Cor#=5	R=83.33	P=16.67	f=27.78

i <DA>	train#=3132	Ori#=253	Ext#=249	Cor#=236	R=93.28	P=94.78	f=94.02

i <PU>	train#=847	Ori#=78	Ext#=87	Cor#=74	R=94.87	P=85.06	f=89.7

i <JN>	train#=12988	Ori#=1025	Ext#=1098	Cor#=966	R=94.24	P=87.98	f=91

i <AU>	train#=15100	Ori#=1784	Ext#=1832	Cor#=1747	R=97.93	P=95.36	f=96.63

i <FL>	train#=1349	Ori#=119	Ext#=143	Cor#=119	R=100	P=83.22	f=90.84

i <NG>	train#=1175	Ori#=188	Ext#=126	Cor#=114	R=60.64	P=90.48	f=72.61

i <DE>	train#=11015	Ori#=1081	Ext#=1080	Cor#=1051	R=97.22	P=97.31	f=97.27

-------------------------------------
<TI> recall=1480.0/1658.0=89.26	precision=1480.0/1551.0=95.42	fScore=92.24

<VO> recall=78.0/93.0=83.87	precision=78.0/94.0=82.98	fScore=83.42

<PP> recall=165.0/180.0=91.67	precision=165.0/166.0=99.4	fScore=95.38

<GL> recall=23.0/29.0=79.31	precision=23.0/38.0=60.53	fScore=68.66

<OR> recall=5.0/6.0=83.33	precision=5.0/30.0=16.67	fScore=27.78

<DA> recall=236.0/253.0=93.28	precision=236.0/249.0=94.78	fScore=94.02

<PU> recall=74.0/78.0=94.87	precision=74.0/87.0=85.06	fScore=89.7

<JN> recall=966.0/1025.0=94.24	precision=966.0/1098.0=87.98	fScore=91

<AU> recall=1747.0/1784.0=97.93	precision=1747.0/1832.0=95.36	fScore=96.63

<FL> recall=119.0/119.0=100	precision=119.0/143.0=83.22	fScore=90.84

<NG> recall=114.0/188.0=60.64	precision=114.0/126.0=90.48	fScore=72.61

<DE> recall=1051.0/1081.0=97.22	precision=1051.0/1080.0=97.31	fScore=97.27

