	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	1483	 	 	 	5	 	 	58	5	6	5	6	
<VO>	2	29	 	 	 	 	 	9	 	 	 	 	
<PP>	1	3	11	 	 	 	 	 	 	 	 	 	
<GL>	 	 	 	5	 	 	 	 	 	 	 	 	
<OR>	 	 	 	 	21	 	 	16	 	 	 	3	
<DA>	2	 	 	 	 	360	 	4	 	 	 	1	
<PU>	 	 	 	 	 	 	13	28	 	 	 	 	
<JN>	30	 	 	 	13	 	 	1084	7	12	17	6	
<AU>	5	 	 	2	1	 	 	9	2134	 	 	3	
<FL>	 	 	 	 	 	 	 	6	 	441	6	 	
<NG>	35	2	6	 	 	51	5	35	 	5	368	26	
<DE>	2	 	 	1	 	 	 	5	8	35	 	890	


ee <TI>	train#=13661	Ori#=1568	Ext#=1560	Cor#=1483	R=94.58	P=95.06	f=94.82

ee <VO>	train#=1583	Ori#=40	Ext#=34	Cor#=29	R=72.5	P=85.29	f=78.38

ee <PP>	train#=3342	Ori#=15	Ext#=17	Cor#=11	R=73.33	P=64.71	f=68.75

ee <GL>	train#=2058	Ori#=5	Ext#=8	Cor#=5	R=100	P=62.5	f=76.92

ee <OR>	train#=542	Ori#=40	Ext#=40	Cor#=21	R=52.5	P=52.5	f=52.5

ee <DA>	train#=3018	Ori#=367	Ext#=411	Cor#=360	R=98.09	P=87.59	f=92.54

ee <PU>	train#=884	Ori#=41	Ext#=18	Cor#=13	R=31.71	P=72.22	f=44.07

ee <JN>	train#=12844	Ori#=1169	Ext#=1254	Cor#=1084	R=92.73	P=86.44	f=89.48

ee <AU>	train#=14730	Ori#=2154	Ext#=2154	Cor#=2134	R=99.07	P=99.07	f=99.07

ee <FL>	train#=1015	Ori#=453	Ext#=499	Cor#=441	R=97.35	P=88.38	f=92.65

ee <NG>	train#=830	Ori#=533	Ext#=396	Cor#=368	R=69.04	P=92.93	f=79.22

ee <DE>	train#=11155	Ori#=941	Ext#=935	Cor#=890	R=94.58	P=95.19	f=94.88

-------------------------------------
<TI> recall=1483.0/1568.0=94.58	precision=1483.0/1560.0=95.06	fScore=94.82

<VO> recall=29.0/40.0=72.5	precision=29.0/34.0=85.29	fScore=78.38

<PP> recall=11.0/15.0=73.33	precision=11.0/17.0=64.71	fScore=68.75

<GL> recall=5.0/5.0=100	precision=5.0/8.0=62.5	fScore=76.92

<OR> recall=21.0/40.0=52.5	precision=21.0/40.0=52.5	fScore=52.5

<DA> recall=360.0/367.0=98.09	precision=360.0/411.0=87.59	fScore=92.54

<PU> recall=13.0/41.0=31.71	precision=13.0/18.0=72.22	fScore=44.07

<JN> recall=1084.0/1169.0=92.73	precision=1084.0/1254.0=86.44	fScore=89.48

<AU> recall=2134.0/2154.0=99.07	precision=2134.0/2154.0=99.07	fScore=99.07

<FL> recall=441.0/453.0=97.35	precision=441.0/499.0=88.38	fScore=92.65

<NG> recall=368.0/533.0=69.04	precision=368.0/396.0=92.93	fScore=79.22

<DE> recall=890.0/941.0=94.58	precision=890.0/935.0=95.19	fScore=94.88

