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Supervised Classification on oh0.wc

Supervised Classification on oh0.wc

Task 3527 Supervised Classification oh0.wc 295 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8711, kappa: 0.85, kb_relative_information_score: 855.4433, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8785, predictive_accuracy: 0.8694, prior_entropy: 3.1536, recall: 0.8694, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4955, scimark_benchmark: 1306.5596, usercpu_time_millis: 1342420, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 1341430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8357, kappa: 0.803, kb_relative_information_score: 802.4867, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8701, predictive_accuracy: 0.8295, prior_entropy: 3.1536, recall: 0.8295, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.6012, scimark_benchmark: 1322.0065, usercpu_time_millis: 28450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 28420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7549, kappa: 0.6944, kb_relative_information_score: 619.8148, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8543, predictive_accuracy: 0.7378, prior_entropy: 3.1536, recall: 0.7378, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6501, scimark_benchmark: 1336.4564, usercpu_time_millis: 102000, usercpu_time_millis_training: 102000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 1299.7465, usercpu_time_millis: 6640, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 1308.6872, usercpu_time_millis: 6530, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8188, kappa: 0.7906, kb_relative_information_score: 764.8955, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8264, predictive_accuracy: 0.8175, prior_entropy: 3.1536, recall: 0.8175, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5724, scimark_benchmark: 935.5075, usercpu_time_millis: 75843350, usercpu_time_millis_testing: 19450, usercpu_time_millis_training: 75823900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.865, kappa: 0.8402, kb_relative_information_score: 703.1867, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8851, predictive_accuracy: 0.8614, prior_entropy: 3.1536, recall: 0.8614, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5615, scimark_benchmark: 1345.7204, usercpu_time_millis: 833310, usercpu_time_millis_testing: 13960, usercpu_time_millis_training: 819350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8319, kappa: 0.8026, kb_relative_information_score: 791.2575, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.847, predictive_accuracy: 0.8285, prior_entropy: 3.1536, recall: 0.8285, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5812, scimark_benchmark: 1350.073, usercpu_time_millis: 71530, usercpu_time_millis_training: 71530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7549, kappa: 0.6944, kb_relative_information_score: 619.8148, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8543, predictive_accuracy: 0.7378, prior_entropy: 3.1536, recall: 0.7378, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6501, scimark_benchmark: 1342.1678, usercpu_time_millis: 90980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8883, kappa: 0.8694, kb_relative_information_score: 875.367, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8961, predictive_accuracy: 0.8863, prior_entropy: 3.1536, recall: 0.8863, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4754, scimark_benchmark: 1301.2156, usercpu_time_millis: 3439530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3439520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8564, kappa: 0.8309, kb_relative_information_score: 701.5786, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8792, predictive_accuracy: 0.8534, prior_entropy: 3.1536, recall: 0.8534, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5643, scimark_benchmark: 1347.5461, usercpu_time_millis: 196360, usercpu_time_millis_testing: 3410, usercpu_time_millis_training: 192950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 922.1419, usercpu_time_millis: 10350, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 10130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8202, kappa: 0.7822, kb_relative_information_score: 750.944, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8641, predictive_accuracy: 0.8116, prior_entropy: 3.1536, recall: 0.8116, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5464, scimark_benchmark: 854.5188, usercpu_time_millis: 1553810, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1553630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 1350.073, usercpu_time_millis: 1080, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8823, kappa: 0.8613, kb_relative_information_score: 858.4717, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8922, predictive_accuracy: 0.8794, prior_entropy: 3.1536, recall: 0.8794, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4641, scimark_benchmark: 1320.9366, usercpu_time_millis: 828560, usercpu_time_millis_training: 828560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8869, kappa: 0.8707, kb_relative_information_score: 874.2613, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8885, predictive_accuracy: 0.8873, prior_entropy: 3.1536, recall: 0.8873, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.5076, scimark_benchmark: 1449.4352, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8652, kappa: 0.8403, kb_relative_information_score: 701.7724, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8863, predictive_accuracy: 0.8614, prior_entropy: 3.1536, recall: 0.8614, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.5655, scimark_benchmark: 1314.0383, usercpu_time_millis: 120000, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 118320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8594, kappa: 0.8351, kb_relative_information_score: 804.9403, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.868, predictive_accuracy: 0.8564, prior_entropy: 3.1536, recall: 0.8564, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4924, scimark_benchmark: 833.3193, usercpu_time_millis: 207270, usercpu_time_millis_training: 207270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8893, kappa: 0.8735, kb_relative_information_score: 889.546, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8918, predictive_accuracy: 0.8893, prior_entropy: 3.1536, recall: 0.8893, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.432, scimark_benchmark: 1307.3764, usercpu_time_millis: 7590, usercpu_time_millis_testing: 5320, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 201.5794, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.9075, scimark_benchmark: 1034.2235, usercpu_time_millis: 1387680, usercpu_time_millis_testing: 1387680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.2801, kappa: 0.1762, kb_relative_information_score: 245.1603, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6349, predictive_accuracy: 0.3161, prior_entropy: 3.1536, recall: 0.3161, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.2048, scimark_benchmark: 789.1062, usercpu_time_millis: 1163650, usercpu_time_millis_testing: 1163650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.173, kappa: 0.0875, kb_relative_information_score: 128.0223, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4206, predictive_accuracy: 0.1904, prior_entropy: 3.1536, recall: 0.1904, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4002, root_relative_squared_error: 1.3533, scimark_benchmark: 1305.7138, usercpu_time_millis: 1240, usercpu_time_millis_testing: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.173, kappa: 0.0875, kb_relative_information_score: 128.4811, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4206, predictive_accuracy: 0.1904, prior_entropy: 3.1536, recall: 0.1904, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.3607, scimark_benchmark: 1327.5791, usercpu_time_millis: 331120, usercpu_time_millis_testing: 330920, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8477, kappa: 0.8259, kb_relative_information_score: 826.7749, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8516, predictive_accuracy: 0.8485, prior_entropy: 3.1536, recall: 0.8485, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5887, scimark_benchmark: 1331.2332, usercpu_time_millis: 23040, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 22780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.783, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 1270.2428, usercpu_time_millis: 1240, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7711, kappa: 0.7239, kb_relative_information_score: 521.402, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8264, predictive_accuracy: 0.7607, prior_entropy: 3.1536, recall: 0.7607, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.732, scimark_benchmark: 1305.7138, usercpu_time_millis: 329120, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 328960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8364, kappa: 0.8093, kb_relative_information_score: 813.4698, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8513, predictive_accuracy: 0.8345, prior_entropy: 3.1536, recall: 0.8345, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.537, scimark_benchmark: 1316.8289, usercpu_time_millis: 393500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 393480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8836, kappa: 0.8636, kb_relative_information_score: 870.7782, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8925, predictive_accuracy: 0.8814, prior_entropy: 3.1536, recall: 0.8814, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4682, scimark_benchmark: 1316.8289, usercpu_time_millis: 1625150, usercpu_time_millis_training: 1625150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8626, kappa: 0.8378, kb_relative_information_score: 703.8066, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8842, predictive_accuracy: 0.8594, prior_entropy: 3.1536, recall: 0.8594, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.5609, scimark_benchmark: 818.6501, usercpu_time_millis: 446440, usercpu_time_millis_testing: 6720, usercpu_time_millis_training: 439720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8502, kappa: 0.8241, kb_relative_information_score: 697.2655, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8698, predictive_accuracy: 0.8475, prior_entropy: 3.1536, recall: 0.8475, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5759, scimark_benchmark: 1345.3152, usercpu_time_millis: 57350, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 56490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8265, kappa: 0.7891, kb_relative_information_score: 749.2504, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.871, predictive_accuracy: 0.8175, prior_entropy: 3.1536, recall: 0.8175, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5499, scimark_benchmark: 1318.8785, usercpu_time_millis: 434890, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 434840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.5268, kappa: 0.4528, kb_relative_information_score: 460.3044, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7252, predictive_accuracy: 0.5434, prior_entropy: 3.1536, recall: 0.5434, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3022, root_relative_squared_error: 1.0219, scimark_benchmark: 1119.7102, usercpu_time_millis: 4380, usercpu_time_millis_testing: 2790, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.6614, kappa: 0.6154, kb_relative_information_score: 618.338, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6632, predictive_accuracy: 0.664, prior_entropy: 3.1536, recall: 0.664, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.8495, scimark_benchmark: 905.1217, usercpu_time_millis: 1745940, usercpu_time_millis_testing: 207790, usercpu_time_millis_training: 1538150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 1350.9691, usercpu_time_millis: 6570, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.7853, kappa: 0.7558, kb_relative_information_score: 764.952, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7916, predictive_accuracy: 0.7856, prior_entropy: 3.1536, recall: 0.7856, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6977, scimark_benchmark: 1330.7934, usercpu_time_millis: 17050, usercpu_time_millis_testing: 14600, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7981, kappa: 0.7704, kb_relative_information_score: 777.422, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8023, predictive_accuracy: 0.7986, prior_entropy: 3.1536, recall: 0.7986, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6771, scimark_benchmark: 1297.6356, usercpu_time_millis: 14590, usercpu_time_millis_testing: 13590, usercpu_time_millis_training: 1000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8161, kappa: 0.7835, kb_relative_information_score: 788.1521, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.828, predictive_accuracy: 0.8116, prior_entropy: 3.1536, recall: 0.8116, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6226, scimark_benchmark: 1384.4418, usercpu_time_millis: 21590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8095, kappa: 0.7831, kb_relative_information_score: 795.7864, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8148, predictive_accuracy: 0.8096, prior_entropy: 3.1536, recall: 0.8096, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6488, scimark_benchmark: 941.7954, usercpu_time_millis: 304650, usercpu_time_millis_testing: 107780, usercpu_time_millis_training: 196870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7916, kappa: 0.7618, kb_relative_information_score: 778.7747, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7988, predictive_accuracy: 0.7906, prior_entropy: 3.1536, recall: 0.7906, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.684, scimark_benchmark: 938.2848, usercpu_time_millis: 1317030, usercpu_time_millis_testing: 440170, usercpu_time_millis_training: 876860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7808, kappa: 0.7495, kb_relative_information_score: 763.888, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7899, predictive_accuracy: 0.7797, prior_entropy: 3.1536, recall: 0.7797, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.7092, scimark_benchmark: 911.3823, usercpu_time_millis: 2797070, usercpu_time_millis_testing: 913170, usercpu_time_millis_training: 1883900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 936.7115, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 936.7115, usercpu_time_millis: 1550, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 938.2848, usercpu_time_millis: 1620, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 933.8635, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 938.4285, usercpu_time_millis: 1440, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8883, kappa: 0.8694, kb_relative_information_score: 875.367, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8961, predictive_accuracy: 0.8863, prior_entropy: 3.1536, recall: 0.8863, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4754, scimark_benchmark: 933.8635, usercpu_time_millis: 3858820, usercpu_time_millis_training: 3858820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8836, kappa: 0.8636, kb_relative_information_score: 870.7782, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8925, predictive_accuracy: 0.8814, prior_entropy: 3.1536, recall: 0.8814, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4682, scimark_benchmark: 945.6434, usercpu_time_millis: 1807040, usercpu_time_millis_training: 1807040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8823, kappa: 0.8613, kb_relative_information_score: 858.4717, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8922, predictive_accuracy: 0.8794, prior_entropy: 3.1536, recall: 0.8794, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4641, scimark_benchmark: 934.5243, usercpu_time_millis: 969380, usercpu_time_millis_training: 969380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8498, kappa: 0.8235, kb_relative_information_score: 827.9614, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8597, predictive_accuracy: 0.8465, prior_entropy: 3.1536, recall: 0.8465, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4898, scimark_benchmark: 934.5243, usercpu_time_millis: 488680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 488670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8594, kappa: 0.8351, kb_relative_information_score: 804.9403, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.868, predictive_accuracy: 0.8564, prior_entropy: 3.1536, recall: 0.8564, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4924, scimark_benchmark: 940.2922, usercpu_time_millis: 221870, usercpu_time_millis_training: 221870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.7285, kappa: 0.6998, kb_relative_information_score: 563.7028, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7536, predictive_accuracy: 0.7408, prior_entropy: 3.1536, recall: 0.7408, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7271, scimark_benchmark: 902.4773, usercpu_time_millis: 2350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8578, kappa: 0.8328, kb_relative_information_score: 800.675, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8678, predictive_accuracy: 0.8544, prior_entropy: 3.1536, recall: 0.8544, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4958, scimark_benchmark: 938.2848, usercpu_time_millis: 208740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 208730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 102.9358, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582, scimark_benchmark: 947.9494, usercpu_time_millis: 260, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8157, kappa: 0.7801, kb_relative_information_score: 731.6525, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8429, predictive_accuracy: 0.8096, prior_entropy: 3.1536, recall: 0.8096, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5608, scimark_benchmark: 901.0726, usercpu_time_millis: 351130, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 350920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8193, kappa: 0.7865, kb_relative_information_score: 747.9811, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8452, predictive_accuracy: 0.8156, prior_entropy: 3.1536, recall: 0.8156, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5637, scimark_benchmark: 943.2817, usercpu_time_millis: 2671670, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2671150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.7478, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.9099, scimark_benchmark: 901.0726, usercpu_time_millis: 1340, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8658, kappa: 0.8406, kb_relative_information_score: 850.6109, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8821, predictive_accuracy: 0.8614, prior_entropy: 3.1536, recall: 0.8614, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.555, scimark_benchmark: 922.9039, usercpu_time_millis: 1866220, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 1865250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, build_cpu_time: 444.7023, build_memory: 1967488353.2522, f_measure: 0.8486, kappa: 0.8171, kb_relative_information_score: 810.565, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8761, predictive_accuracy: 0.8415, prior_entropy: 3.1536, recall: 0.8415, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5166, scimark_benchmark: 945.9661,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs