	<TI>	<VO>	<PP>	<GL>	<OR>	<DA>	<PU>	<JN>	<AU>	<FL>	<NG>	<DE>
<TI>	240	 	 	 	 	 	 	10	1	 	1	1	
<VO>	 	4	 	 	 	 	 	 	 	 	 	 	
<PP>	 	 	 	 	 	 	 	 	 	 	 	 	
<GL>	 	 	10	55	 	 	 	 	2	 	 	4	
<OR>	 	 	 	 	 	 	 	 	 	 	 	 	
<DA>	 	 	 	 	 	59	 	 	 	 	 	 	
<PU>	 	 	 	 	 	 	6	 	 	 	 	 	
<JN>	 	 	 	 	 	 	 	312	1	 	 	2	
<AU>	2	 	2	 	2	 	 	6	334	 	 	10	
<FL>	 	 	 	 	 	 	 	 	 	27	 	 	
<NG>	 	 	 	 	 	 	 	2	 	 	6	 	
<DE>	 	 	 	 	 	 	 	1	1	 	 	213	


kollios <TI>	train#=14976	Ori#=253	Ext#=242	Cor#=240	R=94.86	P=99.17	f=96.97

kollios <VO>	train#=1619	Ori#=4	Ext#=4	Cor#=4	R=100	P=100	f=100

kollios <PP>	train#=3357	Ori#=0	Ext#=12	Cor#=0	R=	P=0	f=

kollios <GL>	train#=1992	Ori#=71	Ext#=55	Cor#=55	R=77.46	P=100	f=87.3

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

kollios <DA>	train#=3326	Ori#=59	Ext#=59	Cor#=59	R=100	P=100	f=100

kollios <PU>	train#=919	Ori#=6	Ext#=6	Cor#=6	R=100	P=100	f=100

kollios <JN>	train#=13698	Ori#=315	Ext#=331	Cor#=312	R=99.05	P=94.26	f=96.59

kollios <AU>	train#=16528	Ori#=356	Ext#=339	Cor#=334	R=93.82	P=98.53	f=96.12

kollios <FL>	train#=1441	Ori#=27	Ext#=27	Cor#=27	R=100	P=100	f=100

kollios <NG>	train#=1355	Ori#=8	Ext#=7	Cor#=6	R=75	P=85.71	f=80

kollios <DE>	train#=11881	Ori#=215	Ext#=230	Cor#=213	R=99.07	P=92.61	f=95.73

-------------------------------------
<TI> recall=5774.0/6232.0=92.65	precision=5774.0/6430.0=89.8	fScore=91.2

<VO> recall=620.0/784.0=79.08	precision=620.0/763.0=81.26	fScore=80.16

<PP> recall=1323.0/1382.0=95.73	precision=1323.0/1450.0=91.24	fScore=93.43

<GL> recall=949.0/1023.0=92.77	precision=949.0/1262.0=75.2	fScore=83.06

<OR> recall=125.0/198.0=63.13	precision=125.0/186.0=67.2	fScore=65.1

<DA> recall=1080.0/1193.0=90.53	precision=1080.0/1096.0=98.54	fScore=94.36

<PU> recall=311.0/367.0=84.74	precision=311.0/343.0=90.67	fScore=87.61

<JN> recall=5201.0/6023.0=86.35	precision=5201.0/5800.0=89.67	fScore=87.98

<AU> recall=6893.0/7293.0=94.52	precision=6893.0/7064.0=97.58	fScore=96.02

<FL> recall=292.0/363.0=80.44	precision=292.0/308.0=94.81	fScore=87.03

<NG> recall=297.0/440.0=67.5	precision=297.0/388.0=76.55	fScore=71.74

<DE> recall=5236.0/5371.0=97.49	precision=5236.0/5579.0=93.85	fScore=95.63

