	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	527	1	 	 	 	 	 	2	50	 	 	9	
<VO>	 	21	 	 	 	 	 	 	5	 	 	 	
<PP>	 	 	39	 	 	1	 	 	 	 	 	1	
<GL>	 	 	 	 	 	 	 	 	 	 	 	 	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	 	 	 	134	 	 	 	 	 	 	
<PU>	 	 	 	 	 	 	 	 	 	 	 	 	
<JN>	15	 	 	 	2	 	5	453	 	8	 	7	
<AU>	8	 	 	 	 	 	 	 	876	 	 	4	
<FL>	 	 	 	 	 	 	 	 	 	115	 	 	
<NG>	 	4	 	 	 	6	 	6	 	12	63	11	
<DE>	 	 	 	 	 	 	 	 	 	4	 	315	


wood <TI>	train#=14640	Ori#=589	Ext#=550	Cor#=527	R=89.47	P=95.82	f=92.54

wood <VO>	train#=1597	Ori#=26	Ext#=26	Cor#=21	R=80.77	P=80.77	f=80.77

wood <PP>	train#=3316	Ori#=41	Ext#=39	Cor#=39	R=95.12	P=100	f=97.5

wood <GL>	train#=2063	Ori#=0	Ext#=0	Cor#=0	R=	P=	f=

wood <OR>	train#=582	Ori#=0	Ext#=2	Cor#=0	R=	P=0	f=

wood <DA>	train#=3251	Ori#=134	Ext#=141	Cor#=134	R=100	P=95.04	f=97.45

wood <PU>	train#=925	Ori#=0	Ext#=5	Cor#=0	R=	P=0	f=

wood <JN>	train#=13523	Ori#=490	Ext#=461	Cor#=453	R=92.45	P=98.26	f=95.27

wood <AU>	train#=15996	Ori#=888	Ext#=931	Cor#=876	R=98.65	P=94.09	f=96.32

wood <FL>	train#=1353	Ori#=115	Ext#=139	Cor#=115	R=100	P=82.73	f=90.55

wood <NG>	train#=1261	Ori#=102	Ext#=63	Cor#=63	R=61.76	P=100	f=76.36

wood <DE>	train#=11777	Ori#=319	Ext#=347	Cor#=315	R=98.75	P=90.78	f=94.59

-------------------------------------
<TI> recall=8420.0/9092.0=92.61	precision=8420.0/9267.0=90.86	fScore=91.73

<VO> recall=712.0/917.0=77.64	precision=712.0/890.0=80	fScore=78.8

<PP> recall=1453.0/1514.0=95.97	precision=1453.0/1619.0=89.75	fScore=92.75

<GL> recall=1263.0/1359.0=92.94	precision=1263.0/1584.0=79.73	fScore=85.83

<OR> recall=147.0/220.0=66.82	precision=147.0/222.0=66.22	fScore=66.52

<DA> recall=1719.0/1874.0=91.73	precision=1719.0/1797.0=95.66	fScore=93.65

<PU> recall=339.0/423.0=80.14	precision=339.0/381.0=88.98	fScore=84.33

<JN> recall=7042.0/8088.0=87.07	precision=7042.0/7832.0=89.91	fScore=88.47

<AU> recall=10174.0/10647.0=95.56	precision=10174.0/10433.0=97.52	fScore=96.53

<FL> recall=970.0/1075.0=90.23	precision=970.0/1032.0=93.99	fScore=92.07

<NG> recall=747.0/1112.0=67.18	precision=747.0/921.0=81.11	fScore=73.49

<DE> recall=7301.0/7460.0=97.87	precision=7301.0/7803.0=93.57	fScore=95.67

