Synsets - Improvement over Base-level

Data Set:
Grouping:

windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
100.100010.7469
100.100020.7797
100.100030.7810
100.100040.7813
100.100050.7814
100.100060.7809
100.100070.7806
100.100080.7804
100.100090.7801
100.1000100.7798
100.200010.7470
100.200020.7798
100.200030.7811
100.200040.7815
100.200050.7815
100.200060.7811
100.200070.7808
100.200080.7806
100.200090.7803
100.2000100.7800
100.300010.7470
100.300020.7799
100.300030.7812
100.300040.7816
100.300050.7817
100.300060.7812
100.300070.7810
100.300080.7808
100.300090.7805
100.3000100.7802
100.400010.7470
100.400020.7800
100.400030.7813
100.400040.7817
100.400050.7818
100.400060.7814
100.400070.7811
100.400080.7810
100.400090.7807
100.4000100.7804
100.500010.7471
100.500020.7801
100.500030.7814
100.500040.7818
100.500050.7819
100.500060.7815
100.500070.7812
100.500080.7811
100.500090.7808
100.5000100.7805
100.600010.7471
100.600020.7801
100.600030.7815
100.600040.7818
100.600050.7819
100.600060.7815
100.600070.7813
100.600080.7812
100.600090.7809
100.6000100.7806
100.700010.7471
100.700020.7802
100.700030.7816
100.700040.7820
100.700050.7821
100.700060.7816
100.700070.7814
100.700080.7812
100.700090.7810
100.7000100.7807
100.800010.7471
100.800020.7802
100.800030.7816
100.800040.7821
100.800050.7821
100.800060.7817
100.800070.7815
100.800080.7813
100.800090.7810
100.8000100.7808
100.900010.7470
100.900020.7803
100.900030.7816
100.900040.7821
100.900050.7822
100.900060.7818
100.900070.7815
100.900080.7814
100.900090.7811
100.9000100.7809
101.000010.7470
101.000020.7803
101.000030.7817
101.000040.7821
101.000050.7822
101.000060.7819
101.000070.7816
101.000080.7815
101.000090.7812
101.0000100.7809
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (10,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
120.100010.7469
120.100020.7797
120.100030.7810
120.100040.7814
120.100050.7814
120.100060.7809
120.100070.7806
120.100080.7805
120.100090.7802
120.1000100.7798
120.200010.7470
120.200020.7798
120.200030.7811
120.200040.7815
120.200050.7816
120.200060.7811
120.200070.7809
120.200080.7807
120.200090.7804
120.2000100.7801
120.300010.7471
120.300020.7799
120.300030.7813
120.300040.7817
120.300050.7818
120.300060.7814
120.300070.7811
120.300080.7809
120.300090.7806
120.3000100.7803
120.400010.7471
120.400020.7801
120.400030.7814
120.400040.7819
120.400050.7820
120.400060.7816
120.400070.7813
120.400080.7812
120.400090.7809
120.4000100.7806
120.500010.7471
120.500020.7802
120.500030.7816
120.500040.7820
120.500050.7821
120.500060.7817
120.500070.7814
120.500080.7813
120.500090.7810
120.5000100.7807
120.600010.7471
120.600020.7802
120.600030.7816
120.600040.7820
120.600050.7821
120.600060.7817
120.600070.7815
120.600080.7814
120.600090.7811
120.6000100.7809
120.700010.7472
120.700020.7803
120.700030.7817
120.700040.7822
120.700050.7823
120.700060.7818
120.700070.7816
120.700080.7815
120.700090.7812
120.7000100.7809
120.800010.7472
120.800020.7804
120.800030.7818
120.800040.7822
120.800050.7824
120.800060.7819
120.800070.7817
120.800080.7816
120.800090.7813
120.8000100.7811
120.900010.7471
120.900020.7804
120.900030.7818
120.900040.7823
120.900050.7824
120.900060.7820
120.900070.7818
120.900080.7817
120.900090.7814
120.9000100.7811
121.000010.7471
121.000020.7804
121.000030.7819
121.000040.7823
121.000050.7825
121.000060.7821
121.000070.7819
121.000080.7818
121.000090.7815
121.0000100.7812
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (12,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
140.100010.7469
140.100020.7797
140.100030.7810
140.100040.7814
140.100050.7815
140.100060.7810
140.100070.7807
140.100080.7805
140.100090.7802
140.1000100.7799
140.200010.7471
140.200020.7798
140.200030.7812
140.200040.7816
140.200050.7817
140.200060.7812
140.200070.7810
140.200080.7808
140.200090.7804
140.2000100.7802
140.300010.7472
140.300020.7800
140.300030.7814
140.300040.7818
140.300050.7819
140.300060.7815
140.300070.7813
140.300080.7811
140.300090.7807
140.3000100.7804
140.400010.7472
140.400020.7802
140.400030.7815
140.400040.7820
140.400050.7821
140.400060.7817
140.400070.7814
140.400080.7813
140.400090.7810
140.4000100.7808
140.500010.7472
140.500020.7803
140.500030.7817
140.500040.7821
140.500050.7822
140.500060.7818
140.500070.7816
140.500080.7815
140.500090.7812
140.5000100.7809
140.600010.7472
140.600020.7802
140.600030.7817
140.600040.7821
140.600050.7822
140.600060.7819
140.600070.7817
140.600080.7816
140.600090.7813
140.6000100.7811
140.700010.7473
140.700020.7803
140.700030.7818
140.700040.7823
140.700050.7824
140.700060.7820
140.700070.7817
140.700080.7816
140.700090.7813
140.7000100.7811
140.800010.7473
140.800020.7804
140.800030.7819
140.800040.7823
140.800050.7825
140.800060.7821
140.800070.7818
140.800080.7818
140.800090.7814
140.8000100.7812
140.900010.7472
140.900020.7804
140.900030.7819
140.900040.7824
140.900050.7826
140.900060.7821
140.900070.7819
140.900080.7819
140.900090.7815
140.9000100.7813
141.000010.7471
141.000020.7804
141.000030.7819
141.000040.7824
141.000050.7826
141.000060.7823
141.000070.7821
141.000080.7819
141.000090.7816
141.0000100.7814
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (14,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
160.100010.7470
160.100020.7797
160.100030.7810
160.100040.7814
160.100050.7815
160.100060.7810
160.100070.7807
160.100080.7806
160.100090.7803
160.1000100.7800
160.200010.7471
160.200020.7798
160.200030.7813
160.200040.7816
160.200050.7817
160.200060.7813
160.200070.7810
160.200080.7808
160.200090.7805
160.2000100.7802
160.300010.7472
160.300020.7801
160.300030.7815
160.300040.7819
160.300050.7821
160.300060.7816
160.300070.7813
160.300080.7812
160.300090.7808
160.3000100.7805
160.400010.7473
160.400020.7802
160.400030.7817
160.400040.7821
160.400050.7823
160.400060.7818
160.400070.7816
160.400080.7815
160.400090.7812
160.4000100.7809
160.500010.7473
160.500020.7804
160.500030.7818
160.500040.7822
160.500050.7824
160.500060.7820
160.500070.7818
160.500080.7817
160.500090.7814
160.5000100.7811
160.600010.7473
160.600020.7804
160.600030.7819
160.600040.7822
160.600050.7824
160.600060.7821
160.600070.7818
160.600080.7818
160.600090.7815
160.6000100.7813
160.700010.7474
160.700020.7805
160.700030.7820
160.700040.7825
160.700050.7826
160.700060.7822
160.700070.7819
160.700080.7818
160.700090.7816
160.7000100.7814
160.800010.7474
160.800020.7806
160.800030.7821
160.800040.7825
160.800050.7827
160.800060.7823
160.800070.7821
160.800080.7820
160.800090.7817
160.8000100.7815
160.900010.7473
160.900020.7806
160.900030.7821
160.900040.7826
160.900050.7828
160.900060.7824
160.900070.7822
160.900080.7821
160.900090.7819
160.9000100.7816
161.000010.7472
161.000020.7806
161.000030.7822
161.000040.7826
161.000050.7829
161.000060.7825
161.000070.7824
161.000080.7822
161.000090.7820
161.0000100.7818
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (16,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
180.100010.7470
180.100020.7797
180.100030.7811
180.100040.7814
180.100050.7815
180.100060.7810
180.100070.7807
180.100080.7806
180.100090.7803
180.1000100.7800
180.200010.7472
180.200020.7799
180.200030.7814
180.200040.7817
180.200050.7818
180.200060.7814
180.200070.7811
180.200080.7809
180.200090.7806
180.2000100.7803
180.300010.7473
180.300020.7802
180.300030.7816
180.300040.7821
180.300050.7822
180.300060.7817
180.300070.7815
180.300080.7813
180.300090.7810
180.3000100.7807
180.400010.7474
180.400020.7804
180.400030.7818
180.400040.7822
180.400050.7824
180.400060.7820
180.400070.7818
180.400080.7817
180.400090.7814
180.4000100.7811
180.500010.7474
180.500020.7805
180.500030.7820
180.500040.7824
180.500050.7826
180.500060.7822
180.500070.7820
180.500080.7819
180.500090.7816
180.5000100.7813
180.600010.7474
180.600020.7805
180.600030.7821
180.600040.7824
180.600050.7826
180.600060.7823
180.600070.7820
180.600080.7819
180.600090.7817
180.6000100.7815
180.700010.7474
180.700020.7806
180.700030.7822
180.700040.7826
180.700050.7828
180.700060.7824
180.700070.7822
180.700080.7820
180.700090.7818
180.7000100.7816
180.800010.7474
180.800020.7807
180.800030.7823
180.800040.7827
180.800050.7829
180.800060.7826
180.800070.7823
180.800080.7822
180.800090.7820
180.8000100.7817
180.900010.7473
180.900020.7807
180.900030.7823
180.900040.7828
180.900050.7830
180.900060.7826
180.900070.7824
180.900080.7824
180.900090.7821
180.9000100.7819
181.000010.7472
181.000020.7807
181.000030.7823
181.000040.7828
181.000050.7831
181.000060.7827
181.000070.7826
181.000080.7825
181.000090.7822
181.0000100.7820
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (18,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
200.100010.7471
200.100020.7798
200.100030.7811
200.100040.7815
200.100050.7816
200.100060.7811
200.100070.7808
200.100080.7807
200.100090.7804
200.1000100.7801
200.200010.7472
200.200020.7800
200.200030.7814
200.200040.7817
200.200050.7819
200.200060.7815
200.200070.7812
200.200080.7810
200.200090.7807
200.2000100.7804
200.300010.7474
200.300020.7802
200.300030.7817
200.300040.7822
200.300050.7823
200.300060.7818
200.300070.7816
200.300080.7814
200.300090.7811
200.3000100.7808
200.400010.7475
200.400020.7804
200.400030.7819
200.400040.7824
200.400050.7826
200.400060.7821
200.400070.7819
200.400080.7818
200.400090.7816
200.4000100.7813
200.500010.7475
200.500020.7806
200.500030.7821
200.500040.7825
200.500050.7827
200.500060.7824
200.500070.7821
200.500080.7820
200.500090.7818
200.5000100.7815
200.600010.7474
200.600020.7805
200.600030.7821
200.600040.7825
200.600050.7827
200.600060.7824
200.600070.7822
200.600080.7821
200.600090.7819
200.6000100.7817
200.700010.7474
200.700020.7807
200.700030.7822
200.700040.7827
200.700050.7829
200.700060.7825
200.700070.7823
200.700080.7822
200.700090.7820
200.7000100.7817
200.800010.7474
200.800020.7807
200.800030.7823
200.800040.7828
200.800050.7830
200.800060.7827
200.800070.7825
200.800080.7824
200.800090.7821
200.8000100.7819
200.900010.7473
200.900020.7807
200.900030.7823
200.900040.7829
200.900050.7831
200.900060.7828
200.900070.7826
200.900080.7825
200.900090.7823
200.9000100.7821
201.000010.7472
201.000020.7807
201.000030.7824
201.000040.7829
201.000050.7832
201.000060.7829
201.000070.7827
201.000080.7826
201.000090.7824
201.0000100.7822
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (20,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
220.100010.7471
220.100020.7798
220.100030.7812
220.100040.7815
220.100050.7816
220.100060.7811
220.100070.7808
220.100080.7807
220.100090.7804
220.1000100.7801
220.200010.7473
220.200020.7800
220.200030.7814
220.200040.7818
220.200050.7820
220.200060.7815
220.200070.7812
220.200080.7810
220.200090.7807
220.2000100.7805
220.300010.7474
220.300020.7802
220.300030.7817
220.300040.7822
220.300050.7823
220.300060.7819
220.300070.7816
220.300080.7815
220.300090.7811
220.3000100.7809
220.400010.7475
220.400020.7805
220.400030.7820
220.400040.7824
220.400050.7826
220.400060.7822
220.400070.7819
220.400080.7819
220.400090.7816
220.4000100.7813
220.500010.7475
220.500020.7806
220.500030.7822
220.500040.7826
220.500050.7828
220.500060.7824
220.500070.7822
220.500080.7821
220.500090.7818
220.5000100.7816
220.600010.7474
220.600020.7806
220.600030.7822
220.600040.7826
220.600050.7828
220.600060.7825
220.600070.7823
220.600080.7822
220.600090.7820
220.6000100.7817
220.700010.7475
220.700020.7807
220.700030.7823
220.700040.7828
220.700050.7830
220.700060.7826
220.700070.7824
220.700080.7823
220.700090.7820
220.7000100.7818
220.800010.7474
220.800020.7807
220.800030.7824
220.800040.7829
220.800050.7831
220.800060.7828
220.800070.7825
220.800080.7825
220.800090.7822
220.8000100.7820
220.900010.7473
220.900020.7808
220.900030.7824
220.900040.7829
220.900050.7832
220.900060.7828
220.900070.7827
220.900080.7826
220.900090.7824
220.9000100.7822
221.000010.7472
221.000020.7808
221.000030.7824
221.000040.7829
221.000050.7833
221.000060.7829
221.000070.7828
221.000080.7827
221.000090.7825
221.0000100.7823
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (22,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
240.100010.7471
240.100020.7798
240.100030.7812
240.100040.7815
240.100050.7817
240.100060.7812
240.100070.7809
240.100080.7808
240.100090.7804
240.1000100.7801
240.200010.7473
240.200020.7800
240.200030.7815
240.200040.7818
240.200050.7820
240.200060.7816
240.200070.7813
240.200080.7811
240.200090.7808
240.2000100.7806
240.300010.7474
240.300020.7802
240.300030.7818
240.300040.7823
240.300050.7824
240.300060.7819
240.300070.7817
240.300080.7816
240.300090.7812
240.3000100.7810
240.400010.7475
240.400020.7805
240.400030.7820
240.400040.7825
240.400050.7827
240.400060.7823
240.400070.7821
240.400080.7820
240.400090.7818
240.4000100.7815
240.500010.7475
240.500020.7806
240.500030.7822
240.500040.7826
240.500050.7829
240.500060.7825
240.500070.7823
240.500080.7822
240.500090.7819
240.5000100.7817
240.600010.7474
240.600020.7806
240.600030.7823
240.600040.7827
240.600050.7829
240.600060.7826
240.600070.7824
240.600080.7823
240.600090.7821
240.6000100.7819
240.700010.7475
240.700020.7807
240.700030.7823
240.700040.7829
240.700050.7831
240.700060.7827
240.700070.7825
240.700080.7824
240.700090.7822
240.7000100.7819
240.800010.7475
240.800020.7807
240.800030.7824
240.800040.7829
240.800050.7832
240.800060.7829
240.800070.7827
240.800080.7827
240.800090.7824
240.8000100.7822
240.900010.7474
240.900020.7808
240.900030.7824
240.900040.7830
240.900050.7833
240.900060.7830
240.900070.7828
240.900080.7828
240.900090.7825
240.9000100.7824
241.000010.7472
241.000020.7808
241.000030.7824
241.000040.7830
241.000050.7834
241.000060.7831
241.000070.7830
241.000080.7829
241.000090.7826
241.0000100.7825
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (24,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
260.100010.7471
260.100020.7798
260.100030.7812
260.100040.7816
260.100050.7817
260.100060.7812
260.100070.7809
260.100080.7808
260.100090.7805
260.1000100.7802
260.200010.7473
260.200020.7800
260.200030.7815
260.200040.7819
260.200050.7821
260.200060.7817
260.200070.7814
260.200080.7811
260.200090.7808
260.2000100.7806
260.300010.7474
260.300020.7802
260.300030.7818
260.300040.7823
260.300050.7825
260.300060.7820
260.300070.7818
260.300080.7816
260.300090.7813
260.3000100.7810
260.400010.7476
260.400020.7805
260.400030.7820
260.400040.7825
260.400050.7828
260.400060.7823
260.400070.7821
260.400080.7821
260.400090.7818
260.4000100.7815
260.500010.7476
260.500020.7807
260.500030.7823
260.500040.7827
260.500050.7830
260.500060.7826
260.500070.7824
260.500080.7823
260.500090.7820
260.5000100.7818
260.600010.7474
260.600020.7806
260.600030.7823
260.600040.7828
260.600050.7830
260.600060.7827
260.600070.7825
260.600080.7824
260.600090.7822
260.6000100.7820
260.700010.7474
260.700020.7807
260.700030.7824
260.700040.7830
260.700050.7832
260.700060.7828
260.700070.7826
260.700080.7825
260.700090.7823
260.7000100.7820
260.800010.7474
260.800020.7808
260.800030.7825
260.800040.7830
260.800050.7833
260.800060.7830
260.800070.7828
260.800080.7827
260.800090.7825
260.8000100.7822
260.900010.7473
260.900020.7808
260.900030.7825
260.900040.7830
260.900050.7834
260.900060.7831
260.900070.7829
260.900080.7829
260.900090.7826
260.9000100.7824
261.000010.7472
261.000020.7808
261.000030.7824
261.000040.7831
261.000050.7834
261.000060.7831
261.000070.7830
261.000080.7830
261.000090.7827
261.0000100.7825
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (26,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
280.100010.7471
280.100020.7798
280.100030.7812
280.100040.7816
280.100050.7817
280.100060.7812
280.100070.7809
280.100080.7808
280.100090.7805
280.1000100.7802
280.200010.7473
280.200020.7800
280.200030.7816
280.200040.7819
280.200050.7821
280.200060.7817
280.200070.7814
280.200080.7812
280.200090.7809
280.2000100.7806
280.300010.7475
280.300020.7803
280.300030.7819
280.300040.7824
280.300050.7825
280.300060.7821
280.300070.7818
280.300080.7817
280.300090.7814
280.3000100.7811
280.400010.7477
280.400020.7806
280.400030.7821
280.400040.7826
280.400050.7829
280.400060.7824
280.400070.7822
280.400080.7821
280.400090.7819
280.4000100.7816
280.500010.7476
280.500020.7808
280.500030.7824
280.500040.7828
280.500050.7830
280.500060.7827
280.500070.7825
280.500080.7824
280.500090.7821
280.5000100.7819
280.600010.7475
280.600020.7807
280.600030.7824
280.600040.7828
280.600050.7831
280.600060.7828
280.600070.7826
280.600080.7825
280.600090.7823
280.6000100.7821
280.700010.7475
280.700020.7808
280.700030.7825
280.700040.7830
280.700050.7833
280.700060.7829
280.700070.7827
280.700080.7826
280.700090.7823
280.7000100.7821
280.800010.7475
280.800020.7809
280.800030.7826
280.800040.7831
280.800050.7835
280.800060.7831
280.800070.7829
280.800080.7829
280.800090.7825
280.8000100.7823
280.900010.7474
280.900020.7809
280.900030.7826
280.900040.7832
280.900050.7835
280.900060.7832
280.900070.7830
280.900080.7830
280.900090.7827
280.9000100.7825
281.000010.7473
281.000020.7809
281.000030.7826
281.000040.7832
281.000050.7836
281.000060.7833
281.000070.7831
281.000080.7831
281.000090.7828
281.0000100.7827
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (28,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC
windowboostrunscore
00.000010.7466
00.000020.7796
00.000030.7808
00.000040.7811
00.000050.7811
00.000060.7806
00.000070.7804
00.000080.7801
00.000090.7798
00.0000100.7795
300.100010.7471
300.100020.7799
300.100030.7812
300.100040.7816
300.100050.7818
300.100060.7813
300.100070.7810
300.100080.7808
300.100090.7805
300.1000100.7802
300.200010.7474
300.200020.7801
300.200030.7816
300.200040.7820
300.200050.7822
300.200060.7818
300.200070.7815
300.200080.7813
300.200090.7810
300.2000100.7807
300.300010.7476
300.300020.7804
300.300030.7819
300.300040.7825
300.300050.7826
300.300060.7822
300.300070.7820
300.300080.7818
300.300090.7815
300.3000100.7812
300.400010.7477
300.400020.7807
300.400030.7822
300.400040.7827
300.400050.7830
300.400060.7826
300.400070.7824
300.400080.7823
300.400090.7820
300.4000100.7817
300.500010.7477
300.500020.7809
300.500030.7825
300.500040.7829
300.500050.7832
300.500060.7829
300.500070.7826
300.500080.7825
300.500090.7823
300.5000100.7820
300.600010.7475
300.600020.7808
300.600030.7825
300.600040.7830
300.600050.7832
300.600060.7829
300.600070.7828
300.600080.7827
300.600090.7825
300.6000100.7823
300.700010.7476
300.700020.7809
300.700030.7826
300.700040.7832
300.700050.7835
300.700060.7831
300.700070.7828
300.700080.7827
300.700090.7825
300.7000100.7822
300.800010.7475
300.800020.7809
300.800030.7827
300.800040.7833
300.800050.7836
300.800060.7832
300.800070.7830
300.800080.7830
300.800090.7827
300.8000100.7825
300.900010.7474
300.900020.7809
300.900030.7827
300.900040.7833
300.900050.7836
300.900060.7833
300.900070.7831
300.900080.7831
300.900090.7829
300.9000100.7827
301.000010.7473
301.000020.7809
301.000030.7826
301.000040.7833
301.000050.7837
301.000060.7834
301.000070.7833
301.000080.7832
301.000090.7830
301.0000100.7828
download as csv
SELECT d_simplewindow AS window, d_simpleboost AS boost, d_run AS run, d_score AS score
FROM exp_data_68
WHERE d_dataset='semcor' AND d_basedecay<>0 AND d_basewindow<>0 AND d_simplewindow IN (30,0)
GROUP BY d_simpleboost, d_run
ORDER BY d_simplewindow ASC, d_simpleboost ASC, d_run ASC