OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 27 Supervised Classification colic 754 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8223, kappa: 0.6169, kb_relative_information_score: 192.781, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7623, scimark_benchmark: 1306.8702, usercpu_time_millis: 2990, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 1345.6844, usercpu_time_millis: 450, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8054, kappa: 0.5852, kb_relative_information_score: 192.8795, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8073, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8477, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1317.6232, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 1338.5214, usercpu_time_millis: 1100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 1323.5075, usercpu_time_millis: 500, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8307, kappa: 0.6351, kb_relative_information_score: 192.596, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8303, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7529, scimark_benchmark: 1318.6467, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 1328.1785, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1330.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1349.9109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 1339.6197, usercpu_time_millis: 450, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7424, kappa: 0.4583, kb_relative_information_score: 155.7217, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7509, predictive_accuracy: 0.7391, prior_entropy: 0.9509, recall: 0.7391, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0581, scimark_benchmark: 1351.81, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 1344.0499, usercpu_time_millis: 540, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8465, kappa: 0.6684, kb_relative_information_score: 203.828, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8466, predictive_accuracy: 0.8478, prior_entropy: 0.9509, recall: 0.8478, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7617, scimark_benchmark: 1353.3951, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1334.1324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 1350.007, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 1322.7257, usercpu_time_millis: 1060, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 1281.7531, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 1322.7257, usercpu_time_millis: 390, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8069, kappa: 0.5853, kb_relative_information_score: 194.5734, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8068, predictive_accuracy: 0.8071, prior_entropy: 0.9509, recall: 0.8071, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8635, scimark_benchmark: 1371.9645, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8054, kappa: 0.5852, kb_relative_information_score: 192.8795, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8073, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8477, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1449.4352, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8223, kappa: 0.6169, kb_relative_information_score: 192.7809, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7623, scimark_benchmark: 938.0414, usercpu_time_millis: 4950, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8171, kappa: 0.6129, kb_relative_information_score: 163.1264, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7688, scimark_benchmark: 1334.6745, usercpu_time_millis: 280, usercpu_time_millis_testing: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8054, kappa: 0.5852, kb_relative_information_score: 192.8795, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8073, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8477, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 1318.5627, usercpu_time_millis: 410, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8265, kappa: 0.624, kb_relative_information_score: 155.3581, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8272, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7534, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8453, kappa: 0.6642, kb_relative_information_score: 194.0468, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8472, predictive_accuracy: 0.8478, prior_entropy: 0.9509, recall: 0.8478, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7091, scimark_benchmark: 1344.3348, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8482, kappa: 0.6707, kb_relative_information_score: 197.9695, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8498, predictive_accuracy: 0.8505, prior_entropy: 0.9509, recall: 0.8505, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7084, scimark_benchmark: 1338.01, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8095, kappa: 0.5905, kb_relative_information_score: 213.1571, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8092, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9036, scimark_benchmark: 918.6005, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7778, kappa: 0.5247, kb_relative_information_score: 186.6485, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7787, predictive_accuracy: 0.7772, prior_entropy: 0.9509, recall: 0.7772, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.472, root_relative_squared_error: 0.978, scimark_benchmark: 929.0363, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4875, kb_relative_information_score: -0.1525, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0001, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8494, kappa: 0.6748, kb_relative_information_score: 197.0585, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8494, predictive_accuracy: 0.8505, prior_entropy: 0.9509, recall: 0.8505, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7561, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8265, kappa: 0.624, kb_relative_information_score: 155.3581, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8272, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7534, scimark_benchmark: 876.0664, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.773, kappa: 0.516, kb_relative_information_score: 171.6681, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.775, predictive_accuracy: 0.7717, prior_entropy: 0.9509, recall: 0.7717, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8798, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8404, kappa: 0.6523, kb_relative_information_score: 134.7606, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8478, predictive_accuracy: 0.8451, prior_entropy: 0.9509, recall: 0.8451, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7543, scimark_benchmark: 1307.4861, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7743, kappa: 0.5071, kb_relative_information_score: 111.8639, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7886, predictive_accuracy: 0.7853, prior_entropy: 0.9509, recall: 0.7853, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.8074, scimark_benchmark: 1321.527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.8336, kappa: 0.6415, kb_relative_information_score: 199.0747, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8332, predictive_accuracy: 0.8342, prior_entropy: 0.9509, recall: 0.8342, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7877, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8175, kappa: 0.6075, kb_relative_information_score: 167.7407, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8172, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7725, scimark_benchmark: 895.5332, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8066, kappa: 0.5803, kb_relative_information_score: 159.9067, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8076, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7859, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8169, kappa: 0.6051, kb_relative_information_score: 190.827, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8165, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7775, scimark_benchmark: 915.6729, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8124, kappa: 0.597, kb_relative_information_score: 181.3299, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8122, predictive_accuracy: 0.8125, prior_entropy: 0.9509, recall: 0.8125, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7861, scimark_benchmark: 932.0242, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8034, kappa: 0.5763, kb_relative_information_score: 170.0826, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8029, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7928, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.8162, kappa: 0.6026, kb_relative_information_score: 172.8884, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.816, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7748, scimark_benchmark: 942.9518, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8232, kappa: 0.6204, kb_relative_information_score: 168.4361, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8231, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7762, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8198, kappa: 0.6084, kb_relative_information_score: 190.8145, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8222, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.78, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8045, kappa: 0.5763, kb_relative_information_score: 194.4541, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8047, predictive_accuracy: 0.8071, prior_entropy: 0.9509, recall: 0.8071, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.8125, scimark_benchmark: 937.6212, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7436, kappa: 0.4797, kb_relative_information_score: 155.7217, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7753, predictive_accuracy: 0.7391, prior_entropy: 0.9509, recall: 0.7391, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0581, scimark_benchmark: 1318.1432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.8464, kappa: 0.6655, kb_relative_information_score: 246.2929, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8527, predictive_accuracy: 0.8505, prior_entropy: 0.9509, recall: 0.8505, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.8009, scimark_benchmark: 938.343, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 226.4114, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.417, root_relative_squared_error: 0.864, scimark_benchmark: 1369.9744, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 167.4487, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.758, scimark_benchmark: 944.0517, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7424, kappa: 0.4583, kb_relative_information_score: 155.7217, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7509, predictive_accuracy: 0.7391, prior_entropy: 0.9509, recall: 0.7391, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0581, scimark_benchmark: 1304.9611, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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