	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1180	3	 	 	2	 	 	104	12	 	5	14	
<VO>	19	269	1	 	 	 	 	4	 	 	 	3	
<PP>	8	15	446	 	 	9	 	5	2	 	 	1	
<GL>	 	 	 	207	6	2	2	2	4	 	 	4	
<OR>	9	 	 	7	104	 	3	4	4	 	 	 	
<DA>	 	2	3	4	 	490	14	28	 	1	 	7	
<PU>	 	 	 	 	 	 	9	 	 	 	 	 	
<JN>	101	20	 	 	7	 	6	1066	10	 	17	29	
<AU>	 	 	 	31	4	 	 	 	1397	 	 	 	
<FL>	7	 	 	 	 	 	 	34	 	346	1	1	
<NG>	53	1	 	5	3	 	 	59	 	4	24	1	
<DE>	1	 	2	3	 	 	 	16	6	18	 	1138	


dd <TI>	train#=13909	Ori#=1320	Ext#=1378	Cor#=1180	R=89.39	P=85.63	f=87.47

dd <VO>	train#=1327	Ori#=296	Ext#=310	Cor#=269	R=90.88	P=86.77	f=88.78

dd <PP>	train#=2871	Ori#=486	Ext#=452	Cor#=446	R=91.77	P=98.67	f=95.1

dd <GL>	train#=1836	Ori#=227	Ext#=257	Cor#=207	R=91.19	P=80.54	f=85.54

dd <OR>	train#=451	Ori#=131	Ext#=126	Cor#=104	R=79.39	P=82.54	f=80.93

dd <DA>	train#=2836	Ori#=549	Ext#=501	Cor#=490	R=89.25	P=97.8	f=93.33

dd <PU>	train#=916	Ori#=9	Ext#=34	Cor#=9	R=100	P=26.47	f=41.86

dd <JN>	train#=12757	Ori#=1256	Ext#=1322	Cor#=1066	R=84.87	P=80.64	f=82.7

dd <AU>	train#=15452	Ori#=1432	Ext#=1435	Cor#=1397	R=97.56	P=97.35	f=97.45

dd <FL>	train#=1079	Ori#=389	Ext#=369	Cor#=346	R=88.95	P=93.77	f=91.29

dd <NG>	train#=1213	Ori#=150	Ext#=47	Cor#=24	R=16	P=51.06	f=24.37

dd <DE>	train#=10912	Ori#=1184	Ext#=1198	Cor#=1138	R=96.11	P=94.99	f=95.55

-------------------------------------
<TI> recall=1180.0/1320.0=89.39	precision=1180.0/1378.0=85.63	fScore=87.47

<VO> recall=269.0/296.0=90.88	precision=269.0/310.0=86.77	fScore=88.78

<PP> recall=446.0/486.0=91.77	precision=446.0/452.0=98.67	fScore=95.1

<GL> recall=207.0/227.0=91.19	precision=207.0/257.0=80.54	fScore=85.54

<OR> recall=104.0/131.0=79.39	precision=104.0/126.0=82.54	fScore=80.93

<DA> recall=490.0/549.0=89.25	precision=490.0/501.0=97.8	fScore=93.33

<PU> recall=9.0/9.0=100	precision=9.0/34.0=26.47	fScore=41.86

<JN> recall=1066.0/1256.0=84.87	precision=1066.0/1322.0=80.64	fScore=82.7

<AU> recall=1397.0/1432.0=97.56	precision=1397.0/1435.0=97.35	fScore=97.45

<FL> recall=346.0/389.0=88.95	precision=346.0/369.0=93.77	fScore=91.29

<NG> recall=24.0/150.0=16	precision=24.0/47.0=51.06	fScore=24.37

<DE> recall=1138.0/1184.0=96.11	precision=1138.0/1198.0=94.99	fScore=95.55

