Task
Supervised Classification on kropt

Supervised Classification on kropt

Task 2076 Supervised Classification kropt 1152 runs submitted
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  • at2 study_1 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.4965, kappa: 0.4496, kb_relative_information_score: 3280.4187, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5097, predictive_accuracy: 0.5107, prior_entropy: 3.5053, recall: 0.5107, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9847, scimark_benchmark: 1423.5169, usercpu_time_millis: 2530170, usercpu_time_millis_testing: 1151710, usercpu_time_millis_training: 1378460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.6073, kappa: 0.5716, kb_relative_information_score: 15628.3627, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6037, predictive_accuracy: 0.618, prior_entropy: 3.5053, recall: 0.618, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.7681, scimark_benchmark: 1405.2072, usercpu_time_millis: 113190, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 112570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.711, kappa: 0.6796, kb_relative_information_score: 15374.0854, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7187, predictive_accuracy: 0.7147, prior_entropy: 3.5053, recall: 0.7147, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.7749, scimark_benchmark: 1500.8831, usercpu_time_millis: 45960, usercpu_time_millis_testing: 45960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15785.9013, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 1532.2062, usercpu_time_millis: 33620, usercpu_time_millis_testing: 33620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15785.9013, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 1525.5202, usercpu_time_millis: 30330, usercpu_time_millis_testing: 30330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15786.0628, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 1587.4151, usercpu_time_millis: 32640, usercpu_time_millis_testing: 32640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.4965, kappa: 0.4496, kb_relative_information_score: 3280.4187, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5097, predictive_accuracy: 0.5107, prior_entropy: 3.5053, recall: 0.5107, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9847, scimark_benchmark: 1466.7186, usercpu_time_millis: 2621050, usercpu_time_millis_testing: 1178720, usercpu_time_millis_training: 1442330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15786.0628, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 1439.3752, usercpu_time_millis: 32670, usercpu_time_millis_testing: 32650, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.4049, kappa: 0.3505, kb_relative_information_score: 11206.502, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4142, predictive_accuracy: 0.4237, prior_entropy: 3.5053, recall: 0.4237, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.8975, scimark_benchmark: 1463.4648, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.4347, kappa: 0.3716, kb_relative_information_score: 13362.4408, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4374, predictive_accuracy: 0.44, prior_entropy: 3.5053, recall: 0.44, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.8752, scimark_benchmark: 1530.1749, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.4319, kappa: 0.3702, kb_relative_information_score: 13009.5782, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4336, predictive_accuracy: 0.4392, prior_entropy: 3.5053, recall: 0.4392, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.879, scimark_benchmark: 1479.3415, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.3922, kappa: 0.3365, kb_relative_information_score: 10950.6581, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4025, predictive_accuracy: 0.4113, prior_entropy: 3.5053, recall: 0.4113, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.9027, scimark_benchmark: 1426.3883, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.5768, kappa: 0.5284, kb_relative_information_score: 16466.9075, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5766, predictive_accuracy: 0.5789, prior_entropy: 3.5053, recall: 0.5789, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.839, scimark_benchmark: 1530.4274, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.561, kappa: 0.5117, kb_relative_information_score: 15812.2703, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5632, predictive_accuracy: 0.5647, prior_entropy: 3.5053, recall: 0.5647, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8301, scimark_benchmark: 1662.8403, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.5773, kappa: 0.5291, kb_relative_information_score: 16183.959, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5788, predictive_accuracy: 0.5801, prior_entropy: 3.5053, recall: 0.5801, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.7918, scimark_benchmark: 1595.5692, usercpu_time_millis: 3470, usercpu_time_millis_testing: 1790, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.4248, kappa: 0.3699, kb_relative_information_score: 11686.5558, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.432, predictive_accuracy: 0.4405, prior_entropy: 3.5053, recall: 0.4405, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.8931, scimark_benchmark: 1763.5117, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.5513, kappa: 0.501, kb_relative_information_score: 15466.4652, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5533, predictive_accuracy: 0.5556, prior_entropy: 3.5053, recall: 0.5556, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.8079, scimark_benchmark: 1612.9021, usercpu_time_millis: 3250, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.6796, kappa: 0.6433, kb_relative_information_score: 15819.1928, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6864, predictive_accuracy: 0.6822, prior_entropy: 3.5053, recall: 0.6822, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.171, root_relative_squared_error: 0.7667, scimark_benchmark: 1666.421, usercpu_time_millis: 2820, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.6071, kappa: 0.562, kb_relative_information_score: 17250.4606, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6073, predictive_accuracy: 0.6086, prior_entropy: 3.5053, recall: 0.6086, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7765, scimark_benchmark: 1536.6973, usercpu_time_millis: 5940, usercpu_time_millis_testing: 2520, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.66, kappa: 0.6224, kb_relative_information_score: 15284.161, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6699, predictive_accuracy: 0.6639, prior_entropy: 3.5053, recall: 0.6639, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.7817, scimark_benchmark: 1674.8988, usercpu_time_millis: 3030, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.6067, kappa: 0.5616, kb_relative_information_score: 17128.8799, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6069, predictive_accuracy: 0.6084, prior_entropy: 3.5053, recall: 0.6084, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.7706, scimark_benchmark: 1711.8849, usercpu_time_millis: 6320, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.6953, kappa: 0.661, kb_relative_information_score: 16834.1016, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6998, predictive_accuracy: 0.6975, prior_entropy: 3.5053, recall: 0.6975, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.7389, scimark_benchmark: 1629.145, usercpu_time_millis: 6680, usercpu_time_millis_testing: 2980, usercpu_time_millis_training: 3700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7022, kappa: 0.6687, kb_relative_information_score: 16683.1463, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7078, predictive_accuracy: 0.7045, prior_entropy: 3.5053, recall: 0.7045, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.7426, scimark_benchmark: 1584.3509, usercpu_time_millis: 6420, usercpu_time_millis_testing: 2820, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.5559, kappa: 0.5103, kb_relative_information_score: 14894.3393, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5539, predictive_accuracy: 0.5634, prior_entropy: 3.5053, recall: 0.5634, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.183, root_relative_squared_error: 0.8202, scimark_benchmark: 1624.1206, usercpu_time_millis: 70900, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 70540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.6136, kappa: 0.5723, kb_relative_information_score: 16568.6521, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.612, predictive_accuracy: 0.6182, prior_entropy: 3.5053, recall: 0.6182, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.7909, scimark_benchmark: 1466.7649, usercpu_time_millis: 134890, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 134230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.1621, kappa: 0.1153, kb_relative_information_score: 1715.3126, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.168, predictive_accuracy: 0.2458, prior_entropy: 3.5053, recall: 0.2458, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9978, scimark_benchmark: 1469.9587, usercpu_time_millis: 6342610, usercpu_time_millis_testing: 1981340, usercpu_time_millis_training: 4361270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.5464, kappa: 0.5069, kb_relative_information_score: 14120.9186, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5401, predictive_accuracy: 0.561, prior_entropy: 3.5053, recall: 0.561, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.8076, scimark_benchmark: 1410.9185, usercpu_time_millis: 69130, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 68820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.3516, kappa: 0.3136, kb_relative_information_score: 2900.2748, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3962, predictive_accuracy: 0.3943, prior_entropy: 3.5053, recall: 0.3943, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9889, scimark_benchmark: 1460.2346, usercpu_time_millis: 3413640, usercpu_time_millis_testing: 1472070, usercpu_time_millis_training: 1941570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.4965, kappa: 0.4496, kb_relative_information_score: 3280.4187, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5097, predictive_accuracy: 0.5107, prior_entropy: 3.5053, recall: 0.5107, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9847, scimark_benchmark: 1436.5137, usercpu_time_millis: 2682370, usercpu_time_millis_testing: 1163420, usercpu_time_millis_training: 1518950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.7119, kappa: 0.6805, kb_relative_information_score: 15393.9511, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7194, predictive_accuracy: 0.7155, prior_entropy: 3.5053, recall: 0.7155, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.7745, scimark_benchmark: 1549.5159, usercpu_time_millis: 46950, usercpu_time_millis_testing: 46950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.726, kappa: 0.6954, kb_relative_information_score: 15786.0628, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.731, predictive_accuracy: 0.7286, prior_entropy: 3.5053, recall: 0.7286, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7654, scimark_benchmark: 1466.0648, usercpu_time_millis: 34550, usercpu_time_millis_testing: 34550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.7041, kappa: 0.6711, kb_relative_information_score: 15736.2347, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7115, predictive_accuracy: 0.7072, prior_entropy: 3.5053, recall: 0.7072, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.7681, scimark_benchmark: 1445.8007, usercpu_time_millis: 490780, usercpu_time_millis_testing: 490710, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.5042, kappa: 0.4464, kb_relative_information_score: 14562.7941, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5049, predictive_accuracy: 0.505, prior_entropy: 3.5053, recall: 0.505, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.9086, scimark_benchmark: 1552.19, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.1587, kappa: 0.1195, kb_relative_information_score: 4718.0317, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.121, predictive_accuracy: 0.248, prior_entropy: 3.5053, recall: 0.248, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2891, root_relative_squared_error: 1.2959, scimark_benchmark: 1415.1692, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.332, kappa: 0.2749, kb_relative_information_score: 8822.3049, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3341, predictive_accuracy: 0.3606, prior_entropy: 3.5053, recall: 0.3606, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.924, scimark_benchmark: 1366.9919, usercpu_time_millis: 660, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.3516, kappa: 0.3136, kb_relative_information_score: 2900.2748, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3962, predictive_accuracy: 0.3943, prior_entropy: 3.5053, recall: 0.3943, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9889, scimark_benchmark: 1477.5811, usercpu_time_millis: 3663360, usercpu_time_millis_testing: 1571910, usercpu_time_millis_training: 2091450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8183, kappa: 0.7976, kb_relative_information_score: 3779.1183, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.8181, predictive_accuracy: 0.8186, prior_entropy: 3.5053, recall: 0.8186, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9782, scimark_benchmark: 1581.7174, usercpu_time_millis: 2785850, usercpu_time_millis_testing: 387440, usercpu_time_millis_training: 2398410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.4197, kappa: 0.3703, kb_relative_information_score: 3186.7611, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.422, predictive_accuracy: 0.4399, prior_entropy: 3.5053, recall: 0.4399, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9867, scimark_benchmark: 1538.8274, usercpu_time_millis: 4686950, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 4686490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7904, kappa: 0.7667, kb_relative_information_score: 3758.4688, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7902, predictive_accuracy: 0.791, prior_entropy: 3.5053, recall: 0.791, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9785, scimark_benchmark: 1562.3171, usercpu_time_millis: 1642760, usercpu_time_millis_testing: 475560, usercpu_time_millis_training: 1167200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8136, kappa: 0.7919, kb_relative_information_score: 3765.7194, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.8139, predictive_accuracy: 0.8135, prior_entropy: 3.5053, recall: 0.8135, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9783, scimark_benchmark: 1556.9377, usercpu_time_millis: 9828920, usercpu_time_millis_testing: 364060, usercpu_time_millis_training: 9464860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.4159, kappa: 0.3675, kb_relative_information_score: 3174.7906, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4191, predictive_accuracy: 0.4375, prior_entropy: 3.5053, recall: 0.4375, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9868, scimark_benchmark: 1534.699, usercpu_time_millis: 541750, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 541330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.399, kappa: 0.3523, kb_relative_information_score: 3109.7673, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4039, predictive_accuracy: 0.4252, prior_entropy: 3.5053, recall: 0.4252, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9874, scimark_benchmark: 1640.9339, usercpu_time_millis: 40420, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 39940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.4348, kappa: 0.3745, kb_relative_information_score: 12826.2059, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4376, predictive_accuracy: 0.4436, prior_entropy: 3.5053, recall: 0.4436, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.8783, scimark_benchmark: 1569.32, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.4342, kappa: 0.3746, kb_relative_information_score: 12672.1638, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4368, predictive_accuracy: 0.4439, prior_entropy: 3.5053, recall: 0.4439, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.8797, scimark_benchmark: 1550.3877, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.4197, kappa: 0.3703, kb_relative_information_score: 3186.7611, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.422, predictive_accuracy: 0.4399, prior_entropy: 3.5053, recall: 0.4399, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9867, scimark_benchmark: 1436.9852, usercpu_time_millis: 4527760, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 4527300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8183, kappa: 0.7976, kb_relative_information_score: 3779.1183, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.8181, predictive_accuracy: 0.8186, prior_entropy: 3.5053, recall: 0.8186, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9782, scimark_benchmark: 1498.5821, usercpu_time_millis: 2964860, usercpu_time_millis_testing: 401490, usercpu_time_millis_training: 2563370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7904, kappa: 0.7667, kb_relative_information_score: 3758.4688, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7902, predictive_accuracy: 0.791, prior_entropy: 3.5053, recall: 0.791, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9785, scimark_benchmark: 1531.654, usercpu_time_millis: 1800330, usercpu_time_millis_testing: 492820, usercpu_time_millis_training: 1307510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.4159, kappa: 0.3675, kb_relative_information_score: 3174.7906, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4191, predictive_accuracy: 0.4375, prior_entropy: 3.5053, recall: 0.4375, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9868, scimark_benchmark: 1635.22, usercpu_time_millis: 486110, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 485730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.399, kappa: 0.3523, kb_relative_information_score: 3109.7673, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4039, predictive_accuracy: 0.4252, prior_entropy: 3.5053, recall: 0.4252, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9874, scimark_benchmark: 1501.9518, usercpu_time_millis: 36550, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 35990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.4348, kappa: 0.3745, kb_relative_information_score: 12826.2059, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4376, predictive_accuracy: 0.4436, prior_entropy: 3.5053, recall: 0.4436, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.8783, scimark_benchmark: 1497.275, usercpu_time_millis: 240, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.4342, kappa: 0.3746, kb_relative_information_score: 12672.1638, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4368, predictive_accuracy: 0.4439, prior_entropy: 3.5053, recall: 0.4439, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.8797, scimark_benchmark: 1496.4746, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.4049, kappa: 0.3505, kb_relative_information_score: 11206.502, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4142, predictive_accuracy: 0.4237, prior_entropy: 3.5053, recall: 0.4237, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.8975, scimark_benchmark: 1670.0194, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.4347, kappa: 0.3716, kb_relative_information_score: 13362.4408, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4374, predictive_accuracy: 0.44, prior_entropy: 3.5053, recall: 0.44, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.8752, scimark_benchmark: 1568.2874, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.4319, kappa: 0.3702, kb_relative_information_score: 13009.5782, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4336, predictive_accuracy: 0.4392, prior_entropy: 3.5053, recall: 0.4392, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.879, scimark_benchmark: 1444.2281, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.3922, kappa: 0.3365, kb_relative_information_score: 10950.6581, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4025, predictive_accuracy: 0.4113, prior_entropy: 3.5053, recall: 0.4113, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.9027, scimark_benchmark: 1464.6732, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.5773, kappa: 0.5291, kb_relative_information_score: 16183.959, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5788, predictive_accuracy: 0.5801, prior_entropy: 3.5053, recall: 0.5801, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.7918, scimark_benchmark: 1762.36, usercpu_time_millis: 2490, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.6071, kappa: 0.562, kb_relative_information_score: 17250.4606, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6073, predictive_accuracy: 0.6086, prior_entropy: 3.5053, recall: 0.6086, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7765, scimark_benchmark: 1691.306, usercpu_time_millis: 5580, usercpu_time_millis_testing: 2140, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.5768, kappa: 0.5284, kb_relative_information_score: 16466.9075, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5766, predictive_accuracy: 0.5789, prior_entropy: 3.5053, recall: 0.5789, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.839, scimark_benchmark: 1753.3795, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.561, kappa: 0.5117, kb_relative_information_score: 15812.2703, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5632, predictive_accuracy: 0.5647, prior_entropy: 3.5053, recall: 0.5647, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8301, scimark_benchmark: 1632.2409, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.4248, kappa: 0.3699, kb_relative_information_score: 11686.5558, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.432, predictive_accuracy: 0.4405, prior_entropy: 3.5053, recall: 0.4405, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.8931, scimark_benchmark: 1819.2568, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.5513, kappa: 0.501, kb_relative_information_score: 15466.4652, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5533, predictive_accuracy: 0.5556, prior_entropy: 3.5053, recall: 0.5556, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.8079, scimark_benchmark: 1784.3462, usercpu_time_millis: 2710, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.6796, kappa: 0.6433, kb_relative_information_score: 15819.1928, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6864, predictive_accuracy: 0.6822, prior_entropy: 3.5053, recall: 0.6822, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.171, root_relative_squared_error: 0.7667, scimark_benchmark: 1805.51, usercpu_time_millis: 2300, usercpu_time_millis_testing: 1470, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.6067, kappa: 0.5616, kb_relative_information_score: 17128.8799, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6069, predictive_accuracy: 0.6084, prior_entropy: 3.5053, recall: 0.6084, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.6953, kappa: 0.661, kb_relative_information_score: 16834.1016, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6998, predictive_accuracy: 0.6975, prior_entropy: 3.5053, recall: 0.6975, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.66, kappa: 0.6224, kb_relative_information_score: 15284.161, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.6699, predictive_accuracy: 0.6639, prior_entropy: 3.5053, recall: 0.6639, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7022, kappa: 0.6687, kb_relative_information_score: 16683.1463, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.7078, predictive_accuracy: 0.7045, prior_entropy: 3.5053, recall: 0.7045, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.7426,

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