	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1147	3	 	 	4	 	 	95	10	 	5	6	
<VO>	19	254	1	 	 	 	 	13	 	 	 	4	
<PP>	9	17	669	 	 	15	 	3	2	 	 	2	
<GL>	 	 	 	124	6	2	 	2	4	 	 	3	
<OR>	9	 	 	7	95	 	3	4	3	 	 	1	
<DA>	 	2	3	 	 	431	 	28	 	1	 	6	
<PU>	 	 	 	 	 	 	148	 	 	 	 	 	
<JN>	117	21	 	 	6	 	6	1219	3	 	17	37	
<AU>	 	 	 	33	 	 	 	 	1766	 	 	 	
<FL>	7	 	 	 	 	 	 	31	 	339	1	2	
<NG>	47	3	1	1	4	 	 	48	 	5	26	4	
<DE>	1	 	 	2	 	 	 	7	6	3	 	1422	


d <TI>	train#=13959	Ori#=1270	Ext#=1356	Cor#=1147	R=90.31	P=84.59	f=87.36

d <VO>	train#=1332	Ori#=291	Ext#=300	Cor#=254	R=87.29	P=84.67	f=85.96

d <PP>	train#=2640	Ori#=717	Ext#=674	Cor#=669	R=93.31	P=99.26	f=96.19

d <GL>	train#=1922	Ori#=141	Ext#=167	Cor#=124	R=87.94	P=74.25	f=80.52

d <OR>	train#=460	Ori#=122	Ext#=115	Cor#=95	R=77.87	P=82.61	f=80.17

d <DA>	train#=2914	Ori#=471	Ext#=448	Cor#=431	R=91.51	P=96.21	f=93.8

d <PU>	train#=777	Ori#=148	Ext#=157	Cor#=148	R=100	P=94.27	f=97.05

d <JN>	train#=12587	Ori#=1426	Ext#=1450	Cor#=1219	R=85.48	P=84.07	f=84.77

d <AU>	train#=15085	Ori#=1799	Ext#=1794	Cor#=1766	R=98.17	P=98.44	f=98.3

d <FL>	train#=1088	Ori#=380	Ext#=348	Cor#=339	R=89.21	P=97.41	f=93.13

d <NG>	train#=1224	Ori#=139	Ext#=49	Cor#=26	R=18.71	P=53.06	f=27.66

d <DE>	train#=10655	Ori#=1441	Ext#=1487	Cor#=1422	R=98.68	P=95.63	f=97.13

-------------------------------------
<TI> recall=1147.0/1270.0=90.31	precision=1147.0/1356.0=84.59	fScore=87.36

<VO> recall=254.0/291.0=87.29	precision=254.0/300.0=84.67	fScore=85.96

<PP> recall=669.0/717.0=93.31	precision=669.0/674.0=99.26	fScore=96.19

<GL> recall=124.0/141.0=87.94	precision=124.0/167.0=74.25	fScore=80.52

<OR> recall=95.0/122.0=77.87	precision=95.0/115.0=82.61	fScore=80.17

<DA> recall=431.0/471.0=91.51	precision=431.0/448.0=96.21	fScore=93.8

<PU> recall=148.0/148.0=100	precision=148.0/157.0=94.27	fScore=97.05

<JN> recall=1219.0/1426.0=85.48	precision=1219.0/1450.0=84.07	fScore=84.77

<AU> recall=1766.0/1799.0=98.17	precision=1766.0/1794.0=98.44	fScore=98.3

<FL> recall=339.0/380.0=89.21	precision=339.0/348.0=97.41	fScore=93.13

<NG> recall=26.0/139.0=18.71	precision=26.0/49.0=53.06	fScore=27.66

<DE> recall=1422.0/1441.0=98.68	precision=1422.0/1487.0=95.63	fScore=97.13

