seed-8.tsv · pear-git-v3

#	seed=8	V=1607	K=30	W=6	heldout_sents=2000	heldout_toks=14172
GUARD	C1	PASS	tp=12172	pred=12172	gold=12172
#	tier=1000	train_toks=7200	exchange_passes=9
A	8	1000	G	8.72447	6.80351
A	8	1000	Gw	8.72447	6.90997
A	8	1000	L	8.72447	7.87187
A	8	1000	R	8.72447	9.14281
A	8	1000	U	8.72447	12.10479
B	8	1000	G	-1	618	106	0.63504	0.66964	0.60384	0.99458
B	8	1000	Gw	-1	680	105	0.62510	0.66648	0.58856	0.99458
B	8	1000	L	-1	633	73	0.48786	0.53550	0.44800	0.99458
B	8	1000	R	-1	878	3	0.02709	0.44855	0.01397	0.99458
B	8	1000	U	-1	13615	405	0.06569	0.45321	0.03541	0.99458
B	8	1000	U-f	300	300	24	0.04403	0.36774	0.02341	0.99458
B	8	1000	U-f	1000	1000	60	0.06289	0.44253	0.03385	0.99458
B	8	1000	U-f	3000	3000	104	0.06569	0.45368	0.03541	0.99458
B	8	1000	U-f	10000	10000	318	0.06569	0.45321	0.03541	0.99458
B	8	1000	U-f	30000	13615	405	0.06569	0.45321	0.03541	0.99458
B	8	1000	S-L	300	300	81	0.02595	1.00000	0.01314	0.99458
B	8	1000	S-L	1000	1000	150	0.04010	0.84175	0.02054	0.99458
B	8	1000	S-L	3000	3000	210	0.06561	0.54278	0.03492	0.99458
B	8	1000	S-L	10000	10000	336	0.06569	0.45321	0.03541	0.99458
B	8	1000	S-L	30000	13615	405	0.06569	0.45321	0.03541	0.99458
B	8	1000	S-R	300	300	17	0.03342	0.31025	0.01766	0.99458
B	8	1000	S-R	1000	1000	57	0.06274	0.44194	0.03377	0.99458
B	8	1000	S-R	3000	3000	105	0.06569	0.45368	0.03541	0.99458
B	8	1000	S-R	10000	10000	315	0.06569	0.45321	0.03541	0.99458
B	8	1000	S-R	30000	13615	405	0.06569	0.45321	0.03541	0.99458
#	tier=3000	train_toks=21908	exchange_passes=15
A	8	3000	G	8.61379	6.28354
A	8	3000	Gw	8.61379	6.39725
A	8	3000	L	8.61379	6.79523
A	8	3000	R	8.61379	8.57711
A	8	3000	U	8.61379	10.17801
B	8	3000	G	-1	632	148	0.70116	0.70773	0.69471	0.99458
B	8	3000	Gw	-1	755	141	0.69772	0.70774	0.68797	0.99458
B	8	3000	L	-1	715	96	0.58849	0.61201	0.56671	0.99458
B	8	3000	R	-1	881	16	0.10539	0.46675	0.05940	0.99458
B	8	3000	U	-1	32749	861	0.15559	0.52131	0.09144	0.99458
B	8	3000	U-f	300	300	59	0.08398	0.37779	0.04724	0.99458
B	8	3000	U-f	1000	1000	136	0.12922	0.47569	0.07476	0.99458
B	8	3000	U-f	3000	3000	255	0.15227	0.51639	0.08930	0.99458
B	8	3000	U-f	10000	10000	436	0.15559	0.52131	0.09144	0.99458
B	8	3000	U-f	30000	30000	841	0.15559	0.52131	0.09144	0.99458
B	8	3000	U-f	100000	32749	861	0.15559	0.52131	0.09144	0.99458
B	8	3000	S-L	300	300	94	0.00671	0.97619	0.00337	0.99458
B	8	3000	S-L	1000	1000	220	0.07126	0.98468	0.03697	0.99458
B	8	3000	S-L	3000	3000	342	0.08380	0.86452	0.04404	0.99458
B	8	3000	S-L	10000	10000	533	0.15181	0.51670	0.08897	0.99458
B	8	3000	S-L	30000	30000	839	0.15559	0.52131	0.09144	0.99458
B	8	3000	S-L	100000	32749	861	0.15559	0.52131	0.09144	0.99458
B	8	3000	S-R	300	300	24	0.02439	0.41019	0.01257	0.99458
B	8	3000	S-R	1000	1000	41	0.04022	0.39269	0.02120	0.99458
B	8	3000	S-R	3000	3000	215	0.14397	0.50172	0.08405	0.99458
B	8	3000	S-R	10000	10000	442	0.15559	0.52131	0.09144	0.99458
B	8	3000	S-R	30000	30000	841	0.15559	0.52131	0.09144	0.99458
B	8	3000	S-R	100000	32749	861	0.15559	0.52131	0.09144	0.99458
#	tier=10000	train_toks=72661	exchange_passes=8
A	8	10000	G	8.56712	6.04845
A	8	10000	Gw	8.56712	6.15861
A	8	10000	L	8.56712	6.24199
A	8	10000	R	8.56712	8.21719
A	8	10000	U	8.56712	8.53074
N1	8	10000	L	8.56712	8.71399
B	8	10000	G	-1	635	190	0.73494	0.73639	0.73349	0.99458
B	8	10000	Gw	-1	824	186	0.72112	0.72565	0.71664	0.99458
B	8	10000	L	-1	796	144	0.69971	0.70958	0.69011	0.99458
B	8	10000	R	-1	832	41	0.26208	0.38377	0.19898	0.99458
B	8	10000	U	-1	77590	1955	0.28046	0.51827	0.19224	0.99458
B	8	10000	U-f	300	300	115	0.11608	0.32164	0.07082	0.99458
B	8	10000	U-f	1000	1000	288	0.18457	0.41554	0.11863	0.99458
B	8	10000	U-f	3000	3000	601	0.24806	0.48597	0.16653	0.99458
B	8	10000	U-f	10000	10000	1126	0.27863	0.51657	0.19077	0.99458
B	8	10000	U-f	30000	30000	1601	0.28046	0.51827	0.19224	0.99458
B	8	10000	U-f	100000	77590	1955	0.28046	0.51827	0.19224	0.99458
B	8	10000	S-L	300	300	79	0.00867	1.00000	0.00435	0.99458
B	8	10000	S-L	1000	1000	234	0.01143	0.93333	0.00575	0.99458
B	8	10000	S-L	3000	3000	551	0.10807	0.85610	0.05767	0.99458
B	8	10000	S-L	10000	10000	1005	0.20850	0.91560	0.11765	0.99458
B	8	10000	S-L	30000	30000	1575	0.27978	0.52271	0.19101	0.99458
B	8	10000	S-L	100000	77590	1955	0.28046	0.51827	0.19224	0.99458
B	8	10000	S-R	300	300	28	0.01640	0.26615	0.00846	0.99458
B	8	10000	S-R	1000	1000	57	0.02075	0.20493	0.01093	0.99458
B	8	10000	S-R	3000	3000	124	0.04114	0.31272	0.02202	0.99458
B	8	10000	S-R	10000	10000	322	0.12921	0.40415	0.07690	0.99458
B	8	10000	S-R	30000	30000	1625	0.28049	0.51850	0.19224	0.99458
B	8	10000	S-R	100000	77590	1955	0.28046	0.51827	0.19224	0.99458
#	tier=30000	train_toks=217378	exchange_passes=8
A	8	30000	G	8.55374	5.97300
A	8	30000	Gw	8.55374	6.08297
A	8	30000	L	8.55374	6.08071
A	8	30000	R	8.55374	8.36301
A	8	30000	U	8.55374	7.43180
B	8	30000	G	-1	635	222	0.73066	0.73210	0.72921	0.99458
B	8	30000	Gw	-1	859	221	0.71852	0.72258	0.71451	0.99458
B	8	30000	L	-1	827	201	0.71002	0.71370	0.70638	0.99458
B	8	30000	R	-1	845	77	0.30800	0.40018	0.25033	0.99458
B	8	30000	U	-1	158443	4646	0.38439	0.54193	0.29781	0.99458
B	8	30000	U-f	300	300	147	0.12863	0.32235	0.08035	0.99458
B	8	30000	U-f	1000	1000	429	0.21293	0.39932	0.14517	0.99458
B	8	30000	U-f	3000	3000	1028	0.29428	0.46696	0.21484	0.99458
B	8	30000	U-f	10000	10000	2307	0.36809	0.52970	0.28204	0.99458
B	8	30000	U-f	30000	30000	3611	0.38319	0.54123	0.29658	0.99458
B	8	30000	U-f	100000	100000	4587	0.38439	0.54193	0.29781	0.99458
B	8	30000	U-f	300000	158443	4646	0.38439	0.54193	0.29781	0.99458
B	8	30000	S-L	300	300	174	0.00736	0.90000	0.00370	0.99458
B	8	30000	S-L	1000	1000	402	0.01774	0.95614	0.00895	0.99458
B	8	30000	S-L	3000	3000	640	0.02788	0.55769	0.01430	0.99458
B	8	30000	S-L	10000	10000	1569	0.19414	0.89648	0.10886	0.99458
B	8	30000	S-L	30000	30000	3487	0.31868	0.62578	0.21377	0.99458
B	8	30000	S-L	100000	100000	4537	0.38439	0.54193	0.29781	0.99458
B	8	30000	S-L	300000	158443	4646	0.38439	0.54193	0.29781	0.99458
B	8	30000	S-R	300	300	21	0.00784	0.72727	0.00394	0.99458
B	8	30000	S-R	1000	1000	48	0.01707	0.79545	0.00863	0.99458
B	8	30000	S-R	3000	3000	131	0.03334	0.57104	0.01717	0.99458
B	8	30000	S-R	10000	10000	371	0.06570	0.50000	0.03516	0.99458
B	8	30000	S-R	30000	30000	1030	0.16637	0.50332	0.09965	0.99458
B	8	30000	S-R	100000	100000	4436	0.38439	0.54193	0.29781	0.99458
B	8	30000	S-R	300000	158443	4646	0.38439	0.54193	0.29781	0.99458
#	tier=100000	train_toks=728223	exchange_passes=4
A	8	100000	G	8.55131	5.94899
A	8	100000	Gw	8.55131	6.05815
A	8	100000	L	8.55131	6.05377
A	8	100000	R	8.55131	8.36099
A	8	100000	U	8.55131	6.64836
N1	8	100000	L	8.55131	8.54055
B	8	100000	G	-1	635	245	0.73930	0.74076	0.73784	0.99458
B	8	100000	Gw	-1	873	248	0.72567	0.72922	0.72215	0.99458
B	8	100000	L	-1	831	241	0.70997	0.71276	0.70720	0.99458
B	8	100000	R	-1	855	115	0.32175	0.39689	0.27054	0.99458
B	8	100000	U	-1	321517	12058	0.49087	0.56304	0.43510	0.99458
B	8	100000	U-f	300	300	181	0.14029	0.32810	0.08922	0.99458
B	8	100000	U-f	1000	1000	574	0.23555	0.39346	0.16809	0.99458
B	8	100000	U-f	3000	3000	1488	0.33108	0.45634	0.25978	0.99458
B	8	100000	U-f	10000	10000	3704	0.42159	0.51191	0.35836	0.99458
B	8	100000	U-f	30000	30000	7608	0.47970	0.55605	0.42179	0.99458
B	8	100000	U-f	100000	100000	11371	0.49087	0.56318	0.43501	0.99458
B	8	100000	U-f	300000	300000	12055	0.49087	0.56304	0.43510	0.99458
B	8	100000	U-f	-1	321517	12058	0.49087	0.56304	0.43510	0.99458
B	8	100000	S-L	300	300	135	0.00016	0.07692	0.00008	0.99458
B	8	100000	S-L	1000	1000	583	0.01061	0.84416	0.00534	0.99458
B	8	100000	S-L	3000	3000	1307	0.03331	0.66032	0.01709	0.99458
B	8	100000	S-L	10000	10000	3161	0.20858	0.87599	0.11839	0.99458
B	8	100000	S-L	30000	30000	5344	0.29528	0.90366	0.17647	0.99458
B	8	100000	S-L	100000	100000	10553	0.46962	0.61291	0.38063	0.99458
B	8	100000	S-L	300000	300000	12058	0.49087	0.56304	0.43510	0.99458
B	8	100000	S-L	-1	321517	12058	0.49087	0.56304	0.43510	0.99458
B	8	100000	S-R	300	300	40	0.00688	0.93333	0.00345	0.99458
B	8	100000	S-R	1000	1000	78	0.01207	0.86047	0.00608	0.99458
B	8	100000	S-R	3000	3000	225	0.02554	0.77833	0.01298	0.99458
B	8	100000	S-R	10000	10000	499	0.04929	0.63804	0.02563	0.99458
B	8	100000	S-R	30000	30000	1388	0.10577	0.46658	0.05965	0.99458
B	8	100000	S-R	100000	100000	7054	0.46343	0.54299	0.40421	0.99458
B	8	100000	S-R	300000	300000	12055	0.49087	0.56304	0.43510	0.99458
B	8	100000	S-R	-1	321517	12058	0.49087	0.56304	0.43510	0.99458

atomspace-layer-discovery / experiments / across-cluster / results / 1792337065 / seed-8.tsv