OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.2462, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1818, scimark_benchmark: 1867.3397, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1311.2453, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9845, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1849.4037, usercpu_time_millis: 2.644, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.52, kappa: 0.0576, kb_relative_information_score: 66.8097, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5433, predictive_accuracy: 0.5583, prior_entropy: 0.9912, recall: 0.5583, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9808, scimark_benchmark: 1877.7472, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1274.6549, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2739, scimark_benchmark: 1879.0244, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.6078, kappa: 0.2189, kb_relative_information_score: 181.8311, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6344, predictive_accuracy: 0.6305, prior_entropy: 0.9912, recall: 0.6305, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9363, scimark_benchmark: 1866.1838, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8548, kappa: 0.7138, kb_relative_information_score: 890.4357, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8786, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5989, scimark_benchmark: 1850.9685, usercpu_time_millis: 5.167, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1321.9524, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1876, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9722, kappa: 0.9436, kb_relative_information_score: 1148.9292, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3462, scimark_benchmark: 1854.9256, usercpu_time_millis: 0.707, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1350.2192, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.0914, scimark_benchmark: 1872.4216, usercpu_time_millis: 4.393, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 4.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.43, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0139, root_relative_squared_error: 0.0279, scimark_benchmark: 1875.4449, usercpu_time_millis: 0.767, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1323.5514, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.1721, scimark_benchmark: 1869.4908, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.8012, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0094, root_relative_squared_error: 0.019, scimark_benchmark: 1866.3532, usercpu_time_millis: 1.419, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.5368, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0225, root_relative_squared_error: 0.0454, scimark_benchmark: 1868.4533, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7922, kappa: 0.5785, kb_relative_information_score: 427.4876, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8015, predictive_accuracy: 0.7959, prior_entropy: 0.9912, recall: 0.7959, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1868.6447, usercpu_time_millis: 7.966, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 7.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9164, kappa: 0.8318, kb_relative_information_score: 910.5367, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9196, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.571, scimark_benchmark: 1872.7767, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7373, kappa: 0.4674, kb_relative_information_score: 324.6472, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7467, predictive_accuracy: 0.7427, prior_entropy: 0.9912, recall: 0.7427, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8847, scimark_benchmark: 1876.23, usercpu_time_millis: 1.981, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9796, kappa: 0.9588, kb_relative_information_score: 1242.0976, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9802, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.147, root_relative_squared_error: 0.2959, scimark_benchmark: 1755.0788, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1310.2061, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.21, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1318.5526, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1828, scimark_benchmark: 1765.7327, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1318.7621, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.267, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1336.564, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.07, root_relative_squared_error: 0.1408, scimark_benchmark: 1874.0973, usercpu_time_millis: 1.341, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9876, kappa: 0.975, kb_relative_information_score: 1326.8214, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9879, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1931, scimark_benchmark: 1850.8173, usercpu_time_millis: 2.994, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9803, kappa: 0.9603, kb_relative_information_score: 1269.4005, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9806, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2595, scimark_benchmark: 1870.9768, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1337.2792, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1167, scimark_benchmark: 1764.4487, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1322.5845, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1728, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1367.7601, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0329, scimark_benchmark: 1864.4451, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9075, kappa: 0.813, kb_relative_information_score: 1036.607, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9079, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5065, scimark_benchmark: 1869.9607, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1262.734, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9814, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2704, scimark_benchmark: 1885.6537, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1361.8173, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0419, scimark_benchmark: 1873.8757, usercpu_time_millis: 0.364, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1262.7285, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2894, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.097, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.944, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.1782, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.8098, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1709, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.775, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1325.2732, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1761, scimark_benchmark: 1856.0946, usercpu_time_millis: 0.532, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1368.126, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0161, root_relative_squared_error: 0.0324, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.666, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9593, kappa: 0.9178, kb_relative_information_score: 1066.3296, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9605, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4399, scimark_benchmark: 1878.1423, usercpu_time_millis: 1.299, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.271,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8933, kappa: 0.7837, kb_relative_information_score: 972.5898, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8937, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5442, scimark_benchmark: 1749.9246, usercpu_time_millis: 6.652, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 6.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7884, kappa: 0.5708, kb_relative_information_score: 422.7144, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.798, predictive_accuracy: 0.7923, prior_entropy: 0.9912, recall: 0.7923, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8382, scimark_benchmark: 1861.8971, usercpu_time_millis: 3.41, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 3.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.761, kappa: 0.5295, kb_relative_information_score: 397.2074, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.842, predictive_accuracy: 0.7792, prior_entropy: 0.9912, recall: 0.7792, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.82, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.176, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 5.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.7384, kappa: 0.4766, kb_relative_information_score: 588.9002, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7767, predictive_accuracy: 0.7515, prior_entropy: 0.9912, recall: 0.7515, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7483, scimark_benchmark: 1874.9808, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.8051, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0095, root_relative_squared_error: 0.0191, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.6169, kappa: 0.2883, kb_relative_information_score: 227.1037, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7947, predictive_accuracy: 0.6742, prior_entropy: 0.9912, recall: 0.6742, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9014, scimark_benchmark: 1879.3003, usercpu_time_millis: 5.09, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 5.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.925, kappa: 0.8483, kb_relative_information_score: 1099.0171, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9252, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4571, scimark_benchmark: 1874.5188, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.5835, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1705, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1323.5263, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.1829, scimark_benchmark: 1867.0206, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.034, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 1869.8766, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.1086, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1755.6864, usercpu_time_millis: 0.511, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8801, kappa: 0.7566, kb_relative_information_score: 928.7676, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8808, predictive_accuracy: 0.8805, prior_entropy: 0.9912, recall: 0.8805, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5741, scimark_benchmark: 1876.7581, usercpu_time_millis: 9.839, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 9.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9104, kappa: 0.8189, kb_relative_information_score: 1045.9763, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9108, predictive_accuracy: 0.9104, prior_entropy: 0.9912, recall: 0.9104, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.4994, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.396, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8539, kappa: 0.7084, kb_relative_information_score: 885.777, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8643, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6502, scimark_benchmark: 1873.3476, usercpu_time_millis: 2.507, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1367.6976, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0328, scimark_benchmark: 1875.9758, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6147, kappa: 0.2848, kb_relative_information_score: 220.5859, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7941, predictive_accuracy: 0.6727, prior_entropy: 0.9912, recall: 0.6727, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.904, scimark_benchmark: 1765.0294, usercpu_time_millis: 5.446, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 5.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8939, kappa: 0.7873, kb_relative_information_score: 1011.677, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9003, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.5625, scimark_benchmark: 1768.7247, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9737, kappa: 0.9466, kb_relative_information_score: 1152.9128, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9746, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3425, scimark_benchmark: 1867.0876, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1344.2955, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1076, scimark_benchmark: 1872.4216, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 4.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9731, kappa: 0.9456, kb_relative_information_score: 1286.7394, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9735, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2556, scimark_benchmark: 1873.9908, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1325.5147, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1767, scimark_benchmark: 1884.3186, usercpu_time_millis: 0.497, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9615, kappa: 0.9224, kb_relative_information_score: 1075.9468, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9638, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4316, scimark_benchmark: 1870.8644, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.7613, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1756.4388, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7701, kappa: 0.5368, kb_relative_information_score: 627.2984, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7961, predictive_accuracy: 0.7784, prior_entropy: 0.9912, recall: 0.7784, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7251, scimark_benchmark: 1853.9741, usercpu_time_millis: 1.854, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1293.4537, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.221, scimark_benchmark: 1763.3156, usercpu_time_millis: 0.766, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1340.9882, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.102, scimark_benchmark: 1872.8225, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.6445, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1701, scimark_benchmark: 1873.7532, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1319.4311, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.1906, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7736, kappa: 0.5402, kb_relative_information_score: 422.3983, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9912, recall: 0.7755, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8132, scimark_benchmark: 1876.7581, usercpu_time_millis: 4.875, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 4.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1317.4833, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1864.3281, usercpu_time_millis: 1.72, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9073, kappa: 0.812, kb_relative_information_score: 1011.7997, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9074, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5127, scimark_benchmark: 1866.8821, usercpu_time_millis: 8.623, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 8.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9208, kappa: 0.8413, kb_relative_information_score: 843.7193, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9281, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5921, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.673,

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

OpenML bootcamp

From your own software

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

OpenML APIs