	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1232	6	2	5	 	5	 	164	12	 	2	32	
<VO>	1	171	4	 	 	1	 	1	2	 	 	6	
<PP>	 	 	240	 	 	 	 	 	4	 	 	 	
<GL>	 	6	1	297	1	 	2	 	11	 	 	13	
<OR>	 	 	 	9	58	 	1	13	9	 	 	7	
<DA>	 	2	1	 	 	446	 	2	 	 	 	1	
<PU>	 	4	 	19	14	 	136	 	8	 	2	3	
<JN>	81	23	3	10	10	18	1	1729	15	 	1	87	
<AU>	 	2	 	18	 	3	7	 	1711	 	 	11	
<FL>	 	 	 	 	 	 	 	 	 	6	 	 	
<NG>	20	7	 	 	 	 	 	33	4	5	71	2	
<DE>	2	2	 	2	1	5	 	30	3	 	 	1446	


a <TI>	train#=5872	Ori#=1460	Ext#=1336	Cor#=1232	R=84.38	P=92.22	f=88.13

a <VO>	train#=766	Ori#=186	Ext#=223	Cor#=171	R=91.94	P=76.68	f=83.62

a <PP>	train#=1411	Ori#=244	Ext#=251	Cor#=240	R=98.36	P=95.62	f=96.97

a <GL>	train#=745	Ori#=331	Ext#=360	Cor#=297	R=89.73	P=82.5	f=85.96

a <OR>	train#=296	Ori#=97	Ext#=84	Cor#=58	R=59.79	P=69.05	f=64.09

a <DA>	train#=1448	Ori#=452	Ext#=478	Cor#=446	R=98.67	P=93.31	f=95.91

a <PU>	train#=199	Ori#=186	Ext#=147	Cor#=136	R=73.12	P=92.52	f=81.68

a <JN>	train#=4545	Ori#=1978	Ext#=1972	Cor#=1729	R=87.41	P=87.68	f=87.54

a <AU>	train#=6005	Ori#=1752	Ext#=1779	Cor#=1711	R=97.66	P=96.18	f=96.91

a <FL>	train#=420	Ori#=6	Ext#=11	Cor#=6	R=100	P=54.55	f=70.59

a <NG>	train#=368	Ori#=142	Ext#=76	Cor#=71	R=50	P=93.42	f=65.14

a <DE>	train#=4300	Ori#=1491	Ext#=1608	Cor#=1446	R=96.98	P=89.93	f=93.32

-------------------------------------
<TI> recall=1232.0/1460.0=84.38	precision=1232.0/1336.0=92.22	fScore=88.13

<VO> recall=171.0/186.0=91.94	precision=171.0/223.0=76.68	fScore=83.62

<PP> recall=240.0/244.0=98.36	precision=240.0/251.0=95.62	fScore=96.97

<GL> recall=297.0/331.0=89.73	precision=297.0/360.0=82.5	fScore=85.96

<OR> recall=58.0/97.0=59.79	precision=58.0/84.0=69.05	fScore=64.09

<DA> recall=446.0/452.0=98.67	precision=446.0/478.0=93.31	fScore=95.91

<PU> recall=136.0/186.0=73.12	precision=136.0/147.0=92.52	fScore=81.68

<JN> recall=1729.0/1978.0=87.41	precision=1729.0/1972.0=87.68	fScore=87.54

<AU> recall=1711.0/1752.0=97.66	precision=1711.0/1779.0=96.18	fScore=96.91

<FL> recall=6.0/6.0=100	precision=6.0/11.0=54.55	fScore=70.59

<NG> recall=71.0/142.0=50	precision=71.0/76.0=93.42	fScore=65.14

<DE> recall=1446.0/1491.0=96.98	precision=1446.0/1608.0=89.93	fScore=93.32

