seed-3.tsv · pear-git-v3

#	seed=3	V=1607	K=30	W=6	heldout_sents=2000	heldout_toks=14310
GUARD	C1	PASS	tp=12310	pred=12310	gold=12310
#	tier=1000	train_toks=7132	exchange_passes=12
A	3	1000	G	8.74500	6.82593
A	3	1000	Gw	8.74500	6.93950
A	3	1000	L	8.74500	7.87805
A	3	1000	R	8.74500	9.09184
A	3	1000	U	8.74500	12.15118
B	3	1000	G	-1	616	106	0.68647	0.71751	0.65800	0.99472
B	3	1000	Gw	-1	716	102	0.64619	0.69103	0.60682	0.99472
B	3	1000	L	-1	683	69	0.44394	0.50439	0.39643	0.99472
B	3	1000	R	-1	886	10	0.06586	0.33210	0.03656	0.99472
B	3	1000	U	-1	13701	446	0.06773	0.51921	0.03623	0.99472
B	3	1000	U-f	300	300	24	0.04939	0.44231	0.02616	0.99472
B	3	1000	U-f	1000	1000	62	0.06318	0.50181	0.03371	0.99472
B	3	1000	U-f	3000	3000	119	0.06729	0.51752	0.03599	0.99472
B	3	1000	U-f	10000	10000	331	0.06729	0.51752	0.03599	0.99472
B	3	1000	U-f	30000	13701	446	0.06773	0.51921	0.03623	0.99472
B	3	1000	S-L	300	300	81	0.00227	1.00000	0.00114	0.99472
B	3	1000	S-L	1000	1000	140	0.03347	0.87500	0.01706	0.99472
B	3	1000	S-L	3000	3000	206	0.04821	0.49211	0.02535	0.99472
B	3	1000	S-L	10000	10000	354	0.06773	0.51921	0.03623	0.99472
B	3	1000	S-L	30000	13701	446	0.06773	0.51921	0.03623	0.99472
B	3	1000	S-R	300	300	12	0.01554	0.23023	0.00804	0.99472
B	3	1000	S-R	1000	1000	49	0.05949	0.48689	0.03168	0.99472
B	3	1000	S-R	3000	3000	122	0.06729	0.51752	0.03599	0.99472
B	3	1000	S-R	10000	10000	328	0.06729	0.51752	0.03599	0.99472
B	3	1000	S-R	30000	13701	446	0.06773	0.51921	0.03623	0.99472
#	tier=3000	train_toks=21946	exchange_passes=8
A	3	3000	G	8.62534	6.28953
A	3	3000	Gw	8.62534	6.40498
A	3	3000	L	8.62534	6.70157
A	3	3000	R	8.62534	8.64967
A	3	3000	U	8.62534	10.20086
B	3	3000	G	-1	632	151	0.70371	0.70581	0.70162	0.99472
B	3	3000	Gw	-1	789	147	0.67917	0.68797	0.67059	0.99472
B	3	3000	L	-1	722	96	0.60761	0.62529	0.59090	0.99472
B	3	3000	R	-1	894	12	0.10365	0.56016	0.05711	0.99472
B	3	3000	U	-1	33182	949	0.15552	0.49413	0.09228	0.99472
B	3	3000	U-f	300	300	67	0.08855	0.36600	0.05037	0.99472
B	3	3000	U-f	1000	1000	150	0.13246	0.45559	0.07750	0.99472
B	3	3000	U-f	3000	3000	268	0.15288	0.48968	0.09058	0.99472
B	3	3000	U-f	10000	10000	446	0.15527	0.49369	0.09212	0.99472
B	3	3000	U-f	30000	30000	923	0.15552	0.49413	0.09228	0.99472
B	3	3000	U-f	100000	33182	949	0.15552	0.49413	0.09228	0.99472
B	3	3000	S-L	300	300	100	0.00567	1.00000	0.00284	0.99472
B	3	3000	S-L	1000	1000	218	0.04212	0.96715	0.02153	0.99472
B	3	3000	S-L	3000	3000	354	0.08219	0.86765	0.04314	0.99472
B	3	3000	S-L	10000	10000	587	0.14712	0.50476	0.08611	0.99472
B	3	3000	S-L	30000	30000	920	0.15552	0.49413	0.09228	0.99472
B	3	3000	S-L	100000	33182	949	0.15552	0.49413	0.09228	0.99472
B	3	3000	S-R	300	300	18	0.01866	0.96667	0.00942	0.99472
B	3	3000	S-R	1000	1000	39	0.05112	0.98777	0.02624	0.99472
B	3	3000	S-R	3000	3000	234	0.14536	0.47589	0.08578	0.99472
B	3	3000	S-R	10000	10000	465	0.15527	0.49369	0.09212	0.99472
B	3	3000	S-R	30000	30000	918	0.15552	0.49413	0.09228	0.99472
B	3	3000	S-R	100000	33182	949	0.15552	0.49413	0.09228	0.99472
#	tier=10000	train_toks=72679	exchange_passes=10
A	3	10000	G	8.57375	6.05054
A	3	10000	Gw	8.57375	6.16620
A	3	10000	L	8.57375	6.17485
A	3	10000	R	8.57375	8.26219
A	3	10000	U	8.57375	8.52343
N1	3	10000	L	8.57375	8.72726
B	3	10000	G	-1	635	195	0.74009	0.74136	0.73883	0.99472
B	3	10000	Gw	-1	834	193	0.72550	0.72910	0.72193	0.99472
B	3	10000	L	-1	777	180	0.69409	0.70014	0.68814	0.99472
B	3	10000	R	-1	854	70	0.23030	0.38696	0.16393	0.99472
B	3	10000	U	-1	77652	1989	0.27664	0.52233	0.18814	0.99472
B	3	10000	U-f	300	300	115	0.11823	0.33793	0.07165	0.99472
B	3	10000	U-f	1000	1000	289	0.18578	0.42329	0.11901	0.99472
B	3	10000	U-f	3000	3000	607	0.24732	0.49512	0.16483	0.99472
B	3	10000	U-f	10000	10000	1085	0.27316	0.51947	0.18530	0.99472
B	3	10000	U-f	30000	30000	1587	0.27664	0.52233	0.18814	0.99472
B	3	10000	U-f	100000	77652	1989	0.27664	0.52233	0.18814	0.99472
B	3	10000	S-L	300	300	84	0.00664	0.95349	0.00333	0.99472
B	3	10000	S-L	1000	1000	282	0.04695	0.99329	0.02405	0.99472
B	3	10000	S-L	3000	3000	541	0.09969	0.86684	0.05288	0.99472
B	3	10000	S-L	10000	10000	1028	0.22022	0.92762	0.12494	0.99472
B	3	10000	S-L	30000	30000	1631	0.27264	0.55689	0.18050	0.99472
B	3	10000	S-L	100000	77652	1989	0.27664	0.52233	0.18814	0.99472
B	3	10000	S-R	300	300	29	0.02003	0.73099	0.01015	0.99472
B	3	10000	S-R	1000	1000	64	0.04691	0.53451	0.02453	0.99472
B	3	10000	S-R	3000	3000	155	0.08761	0.44560	0.04858	0.99472
B	3	10000	S-R	10000	10000	635	0.23256	0.48077	0.15337	0.99472
B	3	10000	S-R	30000	30000	1630	0.27664	0.52233	0.18814	0.99472
B	3	10000	S-R	100000	77652	1989	0.27664	0.52233	0.18814	0.99472
#	tier=30000	train_toks=218379	exchange_passes=8
A	3	30000	G	8.56302	5.97687
A	3	30000	Gw	8.56302	6.09287
A	3	30000	L	8.56302	6.09763
A	3	30000	R	8.56302	8.36146
A	3	30000	U	8.56302	7.43643
B	3	30000	G	-1	635	218	0.72961	0.73071	0.72851	0.99472
B	3	30000	Gw	-1	864	216	0.71795	0.72130	0.71462	0.99472
B	3	30000	L	-1	825	179	0.71067	0.71473	0.70666	0.99472
B	3	30000	R	-1	830	61	0.24929	0.42795	0.17587	0.99472
B	3	30000	U	-1	158522	4620	0.37845	0.52967	0.29439	0.99472
B	3	30000	U-f	300	300	154	0.12994	0.31814	0.08164	0.99472
B	3	30000	U-f	1000	1000	444	0.21345	0.39508	0.14622	0.99472
B	3	30000	U-f	3000	3000	1004	0.29089	0.46089	0.21251	0.99472
B	3	30000	U-f	10000	10000	2233	0.35944	0.51620	0.27571	0.99472
B	3	30000	U-f	30000	30000	3596	0.37698	0.52866	0.29293	0.99472
B	3	30000	U-f	100000	100000	4566	0.37845	0.52967	0.29439	0.99472
B	3	30000	U-f	300000	158522	4620	0.37845	0.52967	0.29439	0.99472
B	3	30000	S-L	300	300	171	0.01002	1.00000	0.00504	0.99472
B	3	30000	S-L	1000	1000	402	0.01755	0.98198	0.00885	0.99472
B	3	30000	S-L	3000	3000	633	0.02678	0.71186	0.01365	0.99472
B	3	30000	S-L	10000	10000	1589	0.19196	0.89756	0.10747	0.99472
B	3	30000	S-L	30000	30000	3101	0.31475	0.73845	0.20000	0.99472
B	3	30000	S-L	100000	100000	4494	0.37845	0.52967	0.29439	0.99472
B	3	30000	S-L	300000	158522	4620	0.37845	0.52967	0.29439	0.99472
B	3	30000	S-R	300	300	30	0.01797	0.72258	0.00910	0.99472
B	3	30000	S-R	1000	1000	54	0.01986	0.69663	0.01007	0.99472
B	3	30000	S-R	3000	3000	157	0.03516	0.70032	0.01803	0.99472
B	3	30000	S-R	10000	10000	378	0.07894	0.58539	0.04232	0.99472
B	3	30000	S-R	30000	30000	1557	0.30135	0.46855	0.22210	0.99472
B	3	30000	S-R	100000	100000	4376	0.37845	0.52967	0.29439	0.99472
B	3	30000	S-R	300000	158522	4620	0.37845	0.52967	0.29439	0.99472
#	tier=100000	train_toks=728223	exchange_passes=4
A	3	100000	G	8.56061	5.95235
A	3	100000	Gw	8.56061	6.06690
A	3	100000	L	8.56061	6.03772
A	3	100000	R	8.56061	8.35775
A	3	100000	U	8.56061	6.66677
N1	3	100000	L	8.56061	8.55037
B	3	100000	G	-1	635	247	0.74116	0.74228	0.74005	0.99472
B	3	100000	Gw	-1	871	248	0.73324	0.73612	0.73038	0.99472
B	3	100000	L	-1	823	241	0.70624	0.70884	0.70366	0.99472
B	3	100000	R	-1	845	105	0.30972	0.36223	0.27051	0.99472
B	3	100000	U	-1	321103	12008	0.48858	0.56248	0.43184	0.99472
B	3	100000	U-f	300	300	181	0.14057	0.32710	0.08952	0.99472
B	3	100000	U-f	1000	1000	574	0.23319	0.39150	0.16604	0.99472
B	3	100000	U-f	3000	3000	1493	0.33178	0.45646	0.26060	0.99472
B	3	100000	U-f	10000	10000	3659	0.41870	0.51076	0.35475	0.99472
B	3	100000	U-f	30000	30000	7643	0.47622	0.55464	0.41722	0.99472
B	3	100000	U-f	100000	100000	11308	0.48844	0.56239	0.43168	0.99472
B	3	100000	U-f	300000	300000	12002	0.48858	0.56248	0.43184	0.99472
B	3	100000	U-f	-1	321103	12008	0.48858	0.56248	0.43184	0.99472
B	3	100000	S-L	300	300	125	0.00016	0.11111	0.00008	0.99472
B	3	100000	S-L	1000	1000	584	0.01403	0.93548	0.00707	0.99472
B	3	100000	S-L	3000	3000	1433	0.08637	0.88170	0.04541	0.99472
B	3	100000	S-L	10000	10000	3199	0.20392	0.88301	0.11527	0.99472
B	3	100000	S-L	30000	30000	5420	0.29408	0.90756	0.17547	0.99472
B	3	100000	S-L	100000	100000	10813	0.46479	0.60946	0.37563	0.99472
B	3	100000	S-L	300000	300000	12008	0.48858	0.56248	0.43184	0.99472
B	3	100000	S-L	-1	321103	12008	0.48858	0.56248	0.43184	0.99472
B	3	100000	S-R	300	300	13	0.00486	0.73171	0.00244	0.99472
B	3	100000	S-R	1000	1000	39	0.00597	0.48052	0.00301	0.99472
B	3	100000	S-R	3000	3000	133	0.00972	0.25523	0.00496	0.99472
B	3	100000	S-R	10000	10000	469	0.03365	0.36842	0.01763	0.99472
B	3	100000	S-R	30000	30000	1359	0.10818	0.42117	0.06206	0.99472
B	3	100000	S-R	100000	100000	7485	0.46616	0.54680	0.40626	0.99472
B	3	100000	S-R	300000	300000	12004	0.48858	0.56248	0.43184	0.99472
B	3	100000	S-R	-1	321103	12008	0.48858	0.56248	0.43184	0.99472

atomspace-layer-discovery / experiments / across-cluster / results / 1792337065 / seed-3.tsv