OpenML
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 145862 Supervised Classification qsar-biodeg 115390 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7625, kappa: 0.4543, kb_relative_information_score: 313.7834, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7773, predictive_accuracy: 0.7782, prior_entropy: 0.9226, recall: 0.7782, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8357, scimark_benchmark: 1304.7768, usercpu_time_millis: 6.271, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 6.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8722, kappa: 0.7128, kb_relative_information_score: 581.765, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8719, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6647, scimark_benchmark: 1297.4154, usercpu_time_millis: 5.689, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 5.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8121, kappa: 0.5757, kb_relative_information_score: 508.0307, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8114, predictive_accuracy: 0.8142, prior_entropy: 0.9226, recall: 0.8142, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7308, scimark_benchmark: 1300.5731, usercpu_time_millis: 4.176, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8702, kappa: 0.7081, kb_relative_information_score: 571.8153, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6723, scimark_benchmark: 1269.9209, usercpu_time_millis: 391.986, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 391.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7557, kappa: 0.4386, kb_relative_information_score: 311.7023, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7711, predictive_accuracy: 0.7725, prior_entropy: 0.9226, recall: 0.7725, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8377, scimark_benchmark: 1266.8402, usercpu_time_millis: 6.518, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 6.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8493, kappa: 0.6594, kb_relative_information_score: 562.5572, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8492, predictive_accuracy: 0.8512, prior_entropy: 0.9226, recall: 0.8512, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6897, scimark_benchmark: 1303.7711, usercpu_time_millis: 3.793, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.5491, kappa: 0.031, kb_relative_information_score: 33.2384, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6745, predictive_accuracy: 0.6682, prior_entropy: 0.9226, recall: 0.6682, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9827, scimark_benchmark: 1301.9708, usercpu_time_millis: 5.508, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 5.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7203, kappa: 0.3597, kb_relative_information_score: 253.1988, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7666, predictive_accuracy: 0.7536, prior_entropy: 0.9226, recall: 0.7536, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8625, scimark_benchmark: 1280.8593, usercpu_time_millis: 6.254, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 6.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8133, kappa: 0.5788, kb_relative_information_score: 502.1566, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8125, predictive_accuracy: 0.8152, prior_entropy: 0.9226, recall: 0.8152, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7367, scimark_benchmark: 1293.958, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7996, kappa: 0.5398, kb_relative_information_score: 424.894, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8147, predictive_accuracy: 0.8114, prior_entropy: 0.9226, recall: 0.8114, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7852, scimark_benchmark: 1277.2001, usercpu_time_millis: 10.218, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 10.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.3668, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.671, scimark_benchmark: 1277.5665, usercpu_time_millis: 135.802, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 135.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1354.6188, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7429, kappa: 0.4453, kb_relative_information_score: 240.8798, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7579, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.892, scimark_benchmark: 1309.381, usercpu_time_millis: 0.666, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7429, kappa: 0.4453, kb_relative_information_score: 240.8798, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7579, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.892, scimark_benchmark: 1323.1479, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1339.1673, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.773, kappa: 0.4863, kb_relative_information_score: 323.2168, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7718, predictive_accuracy: 0.7763, prior_entropy: 0.9226, recall: 0.7763, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8658, scimark_benchmark: 1332.4242, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1343.8737, usercpu_time_millis: 0.476, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7429, kappa: 0.4453, kb_relative_information_score: 240.8798, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7579, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.892, scimark_benchmark: 1360.9467, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7715, kappa: 0.4852, kb_relative_information_score: 317.9342, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7703, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8706, scimark_benchmark: 1355.9415, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.5629, kappa: 0.0483, kb_relative_information_score: 21.9015, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6492, predictive_accuracy: 0.6692, prior_entropy: 0.9226, recall: 0.6692, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9933, scimark_benchmark: 1355.7494, usercpu_time_millis: 0.795, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1350.4628, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1356.9857, usercpu_time_millis: 0.516, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1309.486, usercpu_time_millis: 0.498, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1350.9747, usercpu_time_millis: 0.498, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1308.2592, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1319.33, usercpu_time_millis: 0.397, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.762, kappa: 0.4676, kb_relative_information_score: 291.2477, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7619, predictive_accuracy: 0.7621, prior_entropy: 0.9226, recall: 0.7621, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8802, scimark_benchmark: 1320.5866, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.7429, kappa: 0.4453, kb_relative_information_score: 240.8798, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7579, predictive_accuracy: 0.7374, prior_entropy: 0.9226, recall: 0.7374, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.892, scimark_benchmark: 1346.1254, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1364.2638, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1335.167, usercpu_time_millis: 0.385, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1353.6931, usercpu_time_millis: 0.739, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1356.5377, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1359.3439, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1355.9868, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.341,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5281, kb_relative_information_score: 0.1969, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1359.2465, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.611,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7801, kappa: 0.4944, kb_relative_information_score: 365.0912, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8021, predictive_accuracy: 0.7962, prior_entropy: 0.9226, recall: 0.7962, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.8198, scimark_benchmark: 1269.3903, usercpu_time_millis: 9.575, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 9.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 566.6312, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6716, scimark_benchmark: 1303.272, usercpu_time_millis: 400.821, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 400.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8483, kappa: 0.657, kb_relative_information_score: 560.2096, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8483, predictive_accuracy: 0.8502, prior_entropy: 0.9226, recall: 0.8502, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6905, scimark_benchmark: 1302.27, usercpu_time_millis: 4.049, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8793, kappa: 0.7276, kb_relative_information_score: 615.0763, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.9226, recall: 0.8806, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6394, scimark_benchmark: 1274.2039, usercpu_time_millis: 4.15, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8527, kappa: 0.6667, kb_relative_information_score: 551.3292, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8531, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6995, scimark_benchmark: 1282.9759, usercpu_time_millis: 5.103, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 5.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.873, kappa: 0.7139, kb_relative_information_score: 596.1711, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8727, predictive_accuracy: 0.8739, prior_entropy: 0.9226, recall: 0.8739, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6577, scimark_benchmark: 1305.8673, usercpu_time_millis: 4.091, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.6486, kappa: 0.2121, kb_relative_information_score: 143.3021, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7439, predictive_accuracy: 0.7137, prior_entropy: 0.9226, recall: 0.7137, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9335, scimark_benchmark: 1303.1951, usercpu_time_millis: 9.953, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 9.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.6095, kappa: 0.138, kb_relative_information_score: 131.6608, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.731, predictive_accuracy: 0.6948, prior_entropy: 0.9226, recall: 0.6948, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9267, scimark_benchmark: 1303.7402, usercpu_time_millis: 5.465, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 5.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.5449, kappa: 0.0237, kb_relative_information_score: 27.8473, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6586, predictive_accuracy: 0.6664, prior_entropy: 0.9226, recall: 0.6664, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9862, scimark_benchmark: 1304.0924, usercpu_time_millis: 5.587, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 5.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8266, kappa: 0.6034, kb_relative_information_score: 486.1701, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8332, predictive_accuracy: 0.8332, prior_entropy: 0.9226, recall: 0.8332, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.747, scimark_benchmark: 1275.4993, usercpu_time_millis: 7.895, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 7.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8098, kappa: 0.5635, kb_relative_information_score: 443.066, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8227, predictive_accuracy: 0.8199, prior_entropy: 0.9226, recall: 0.8199, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7737, scimark_benchmark: 1278.041, usercpu_time_millis: 9.721, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 9.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8713, kappa: 0.7108, kb_relative_information_score: 581.7245, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.871, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6647, scimark_benchmark: 1278.9353, usercpu_time_millis: 6.543, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 6.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.7722, kappa: 0.4769, kb_relative_information_score: 342.4035, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7846, predictive_accuracy: 0.7858, prior_entropy: 0.9226, recall: 0.7858, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.8213, scimark_benchmark: 1297.878, usercpu_time_millis: 5.346, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 5.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.87, kappa: 0.7073, kb_relative_information_score: 568.8975, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6714, scimark_benchmark: 1304.5839, usercpu_time_millis: 343.045, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 342.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7554, kappa: 0.4378, kb_relative_information_score: 310.5291, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7714, predictive_accuracy: 0.7725, prior_entropy: 0.9226, recall: 0.7725, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8377, scimark_benchmark: 1305.1515, usercpu_time_millis: 5.362, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5449, kappa: 0.0237, kb_relative_information_score: 28.3603, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6586, predictive_accuracy: 0.6664, prior_entropy: 0.9226, recall: 0.6664, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9857, scimark_benchmark: 1295.5487, usercpu_time_millis: 5.853, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 5.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8389, kappa: 0.6364, kb_relative_information_score: 546.0834, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8386, predictive_accuracy: 0.8408, prior_entropy: 0.9226, recall: 0.8408, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.7015, scimark_benchmark: 1281.894, usercpu_time_millis: 3.805, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 3.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8746, kappa: 0.717, kb_relative_information_score: 596.3933, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8746, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6598, scimark_benchmark: 1288.3784, usercpu_time_millis: 4.249, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8373, kappa: 0.6347, kb_relative_information_score: 518.5606, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8368, predictive_accuracy: 0.8379, prior_entropy: 0.9226, recall: 0.8379, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.735, scimark_benchmark: 1275.6496, usercpu_time_millis: 6.827, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 6.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8087, kappa: 0.5707, kb_relative_information_score: 482.1236, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8082, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7529, scimark_benchmark: 1303.8825, usercpu_time_millis: 5.524, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8729, kappa: 0.7135, kb_relative_information_score: 592.6439, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8727, predictive_accuracy: 0.8739, prior_entropy: 0.9226, recall: 0.8739, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6618, scimark_benchmark: 1273.3331, usercpu_time_millis: 4.744, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.547, kappa: 0.0274, kb_relative_information_score: 25.411, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6671, predictive_accuracy: 0.6673, prior_entropy: 0.9226, recall: 0.6673, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9891, scimark_benchmark: 1303.673, usercpu_time_millis: 5.861, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 5.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.5619, kappa: 0.0546, kb_relative_information_score: 61.7114, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7185, predictive_accuracy: 0.6749, prior_entropy: 0.9226, recall: 0.6749, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9663, scimark_benchmark: 1272.9078, usercpu_time_millis: 5.159, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.625, kappa: 0.1662, kb_relative_information_score: 154.4166, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.732, predictive_accuracy: 0.7014, prior_entropy: 0.9226, recall: 0.7014, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9129, scimark_benchmark: 1270.3451, usercpu_time_millis: 5.025, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.6908, kappa: 0.2938, kb_relative_information_score: 231.3315, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7361, predictive_accuracy: 0.7308, prior_entropy: 0.9226, recall: 0.7308, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8728, scimark_benchmark: 1301.0626, usercpu_time_millis: 5.565, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8682, kappa: 0.7034, kb_relative_information_score: 575.352, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8679, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6684, scimark_benchmark: 1278.7036, usercpu_time_millis: 12.599, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 12.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8766, kappa: 0.7218, kb_relative_information_score: 598.3306, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8765, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6589, scimark_benchmark: 1273.9227, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 3.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.874, kappa: 0.7163, kb_relative_information_score: 591.145, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8737, predictive_accuracy: 0.8749, prior_entropy: 0.9226, recall: 0.8749, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6622, scimark_benchmark: 1307.5285, usercpu_time_millis: 4.033, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 3.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.6784, kappa: 0.2727, kb_relative_information_score: 174.0382, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7595, predictive_accuracy: 0.7308, prior_entropy: 0.9226, recall: 0.7308, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9052, scimark_benchmark: 1272.9097, usercpu_time_millis: 5.123, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8176, kappa: 0.5828, kb_relative_information_score: 464.7303, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8239, predictive_accuracy: 0.8246, prior_entropy: 0.9226, recall: 0.8246, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7483, scimark_benchmark: 1273.2633, usercpu_time_millis: 4.762, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7261, kappa: 0.3709, kb_relative_information_score: 277.949, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7546, predictive_accuracy: 0.7526, prior_entropy: 0.9226, recall: 0.7526, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8496, scimark_benchmark: 1303.2396, usercpu_time_millis: 4.991, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 4.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.5944, kappa: 0.1108, kb_relative_information_score: 74.2215, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7271, predictive_accuracy: 0.6882, prior_entropy: 0.9226, recall: 0.6882, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9623, scimark_benchmark: 1264.4125, usercpu_time_millis: 9.437, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 9.278,

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