OpenML
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9627, kappa: 0.9464, kb_relative_information_score: 12081.691, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9624, predictive_accuracy: 0.9635, prior_entropy: 1.7176, recall: 0.9635, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2696, scimark_benchmark: 1550.9455, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9802, kappa: 0.9712, kb_relative_information_score: 12602.8801, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9802, predictive_accuracy: 0.9803, prior_entropy: 1.7176, recall: 0.9803, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.192, scimark_benchmark: 1612.3251, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.978, kappa: 0.9679, kb_relative_information_score: 12544.6003, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.978, predictive_accuracy: 0.9781, prior_entropy: 1.7176, recall: 0.9781, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2251, scimark_benchmark: 1574.9284, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1442.4327, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9817, kappa: 0.9733, kb_relative_information_score: 12571.1243, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 1.7176, recall: 0.9818, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.075, root_relative_squared_error: 0.203, scimark_benchmark: 1426.0752, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8934, kappa: 0.8553, kb_relative_information_score: 10138.9871, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9047, predictive_accuracy: 0.9023, prior_entropy: 1.7176, recall: 0.9023, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.4798, scimark_benchmark: 1436.7733, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8934, kappa: 0.8553, kb_relative_information_score: 10138.9871, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9047, predictive_accuracy: 0.9023, prior_entropy: 1.7176, recall: 0.9023, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.4798, scimark_benchmark: 1506.2062, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.955, kappa: 0.9342, kb_relative_information_score: 11805.5645, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 1.7176, recall: 0.9551, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3225, scimark_benchmark: 1518.1571, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1451.7871, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.938, kappa: 0.9121, kb_relative_information_score: 11538.8811, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 1.7176, recall: 0.9404, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3462, scimark_benchmark: 1432.3702, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9801, kappa: 0.9709, kb_relative_information_score: 12483.2478, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9801, predictive_accuracy: 0.9802, prior_entropy: 1.7176, recall: 0.9802, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2205, scimark_benchmark: 1426.2681, usercpu_time_millis: 2790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9384, kappa: 0.9096, kb_relative_information_score: 11823.788, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9386, predictive_accuracy: 0.9383, prior_entropy: 1.7176, recall: 0.9383, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3826, scimark_benchmark: 1409.7323, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9538, kappa: 0.9332, kb_relative_information_score: 12029.2773, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9533, predictive_accuracy: 0.9545, prior_entropy: 1.7176, recall: 0.9545, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3031, scimark_benchmark: 1506.495, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1463.3372, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1474.9726, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9256, kappa: 0.8912, kb_relative_information_score: 11214.0125, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9258, predictive_accuracy: 0.9259, prior_entropy: 1.7176, recall: 0.9259, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3971, scimark_benchmark: 1454.4622, usercpu_time_millis: 7820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8939, kappa: 0.859, kb_relative_information_score: 10129.6908, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8841, predictive_accuracy: 0.9049, prior_entropy: 1.7176, recall: 0.9049, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.4827, scimark_benchmark: 1488.1069, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8903, kappa: 0.8537, kb_relative_information_score: 6676.3405, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8799, predictive_accuracy: 0.9012, prior_entropy: 1.7176, recall: 0.9012, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.6504, scimark_benchmark: 1454.3516, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9855, kappa: 0.9789, kb_relative_information_score: 12152.0275, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9855, predictive_accuracy: 0.9856, prior_entropy: 1.7176, recall: 0.9856, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.224, scimark_benchmark: 1443.5762, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8939, kappa: 0.859, kb_relative_information_score: 10129.6908, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8841, predictive_accuracy: 0.9049, prior_entropy: 1.7176, recall: 0.9049, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.4827, scimark_benchmark: 1562.22, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1423.0933, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9951, kappa: 0.993, kb_relative_information_score: 12518.3781, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 1.7176, recall: 0.9952, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1522, scimark_benchmark: 1416.6378, usercpu_time_millis: 1840, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9435, kappa: 0.917, kb_relative_information_score: 11912.1182, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9438, predictive_accuracy: 0.9433, prior_entropy: 1.7176, recall: 0.9433, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3661, scimark_benchmark: 1397.869, usercpu_time_millis: 149220, usercpu_time_millis_testing: 149220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9864, kappa: 0.9801, kb_relative_information_score: 12653.8733, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 1.7176, recall: 0.9864, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1761, scimark_benchmark: 1447.348, usercpu_time_millis: 294180, usercpu_time_millis_testing: 294180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8677, kappa: 0.8197, kb_relative_information_score: 7460.5494, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8701, predictive_accuracy: 0.8785, prior_entropy: 1.7176, recall: 0.8785, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.6857, scimark_benchmark: 1483.4519, usercpu_time_millis: 70000, usercpu_time_millis_testing: 70000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8605, kappa: 0.8095, kb_relative_information_score: 7460.6667, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8678, predictive_accuracy: 0.8717, prior_entropy: 1.7176, recall: 0.8717, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.6857, scimark_benchmark: 1412.7777, usercpu_time_millis: 845290, usercpu_time_millis_testing: 845270, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.9862, kb_relative_information_score: 12400.6991, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9902, predictive_accuracy: 0.9906, prior_entropy: 1.7176, recall: 0.9906, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1647, scimark_benchmark: 1526.1049, usercpu_time_millis: 12720, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 12680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1851.083, usercpu_time_millis: 8440, usercpu_time_millis_testing: 8440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1762.8185, usercpu_time_millis: 6050, usercpu_time_millis_testing: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9497, kappa: 0.9434, kb_relative_information_score: 8230.6571, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.938, predictive_accuracy: 0.9618, prior_entropy: 1.7176, recall: 0.9618, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.5505, scimark_benchmark: 1765.5227, usercpu_time_millis: 8470, usercpu_time_millis_testing: 8470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9688, kappa: 0.9561, kb_relative_information_score: 10541.0048, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9694, predictive_accuracy: 0.9701, prior_entropy: 1.7176, recall: 0.9701, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.398, scimark_benchmark: 1535.1276, usercpu_time_millis: 7290, usercpu_time_millis_testing: 7280, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9693, kappa: 0.9565, kb_relative_information_score: 10576.9757, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 1.7176, recall: 0.9704, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4017, scimark_benchmark: 1493.0993, usercpu_time_millis: 6180, usercpu_time_millis_testing: 6170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9075, kappa: 0.88, kb_relative_information_score: 11143.5284, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8965, predictive_accuracy: 0.919, prior_entropy: 1.7176, recall: 0.919, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4139, scimark_benchmark: 1477.7376, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9451, kappa: 0.9215, kb_relative_information_score: 11837.9514, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9461, predictive_accuracy: 0.9467, prior_entropy: 1.7176, recall: 0.9467, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3265, scimark_benchmark: 1482.3143, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9457, kappa: 0.9224, kb_relative_information_score: 11833.6728, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9467, predictive_accuracy: 0.9473, prior_entropy: 1.7176, recall: 0.9473, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3271, scimark_benchmark: 1446.505, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9165, kappa: 0.8913, kb_relative_information_score: 11327.0088, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9239, predictive_accuracy: 0.9265, prior_entropy: 1.7176, recall: 0.9265, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3935, scimark_benchmark: 1459.0901, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1539.5894, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9917, kappa: 0.9877, kb_relative_information_score: 12785.4891, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7176, recall: 0.9916, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1466, scimark_benchmark: 1418.611, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1474.337, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1489.1294, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 1557.8117, usercpu_time_millis: 17850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1345.4452, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9419, kappa: 0.9177, kb_relative_information_score: 11565.5472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 1.7176, recall: 0.9441, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3417, scimark_benchmark: 1390.0363, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12715.9857, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1702, scimark_benchmark: 1528.9722, usercpu_time_millis: 18410, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 18360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9364, kappa: 0.9065, kb_relative_information_score: 11832.5164, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9361, prior_entropy: 1.7176, recall: 0.9361, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.378, scimark_benchmark: 1576.2375, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9598, kappa: 0.942, kb_relative_information_score: 12147.2096, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9593, predictive_accuracy: 0.9605, prior_entropy: 1.7176, recall: 0.9605, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2843, scimark_benchmark: 1468.7064, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1512.872, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1469.9047, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9693, kappa: 0.9554, kb_relative_information_score: 12249.5071, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9693, predictive_accuracy: 0.9696, prior_entropy: 1.7176, recall: 0.9696, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2596, scimark_benchmark: 1479.9217, usercpu_time_millis: 2530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9815, kappa: 0.9739, kb_relative_information_score: 12645.7207, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.982, predictive_accuracy: 0.9823, prior_entropy: 1.7176, recall: 0.9823, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1655, scimark_benchmark: 1525.5209, usercpu_time_millis: 2130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.968, kappa: 0.9536, kb_relative_information_score: 11784.6273, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9678, predictive_accuracy: 0.9684, prior_entropy: 1.7176, recall: 0.9684, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2832, scimark_benchmark: 1457.8333, usercpu_time_millis: 2260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9776, kappa: 0.9686, kb_relative_information_score: 12270.4288, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9782, predictive_accuracy: 0.9786, prior_entropy: 1.7176, recall: 0.9786, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2044, scimark_benchmark: 1415.0526, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9461, kappa: 0.9347, kb_relative_information_score: 8617.7149, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9564, predictive_accuracy: 0.9559, prior_entropy: 1.7176, recall: 0.9559, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5257, scimark_benchmark: 1500.677, usercpu_time_millis: 6490, usercpu_time_millis_testing: 6490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.97, kappa: 0.9593, kb_relative_information_score: 10033.4904, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9728, predictive_accuracy: 0.9724, prior_entropy: 1.7176, recall: 0.9724, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4096, scimark_benchmark: 1549.8576, usercpu_time_millis: 6890, usercpu_time_millis_testing: 6890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9693, kappa: 0.9565, kb_relative_information_score: 10576.1268, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9698, predictive_accuracy: 0.9704, prior_entropy: 1.7176, recall: 0.9704, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4017, scimark_benchmark: 1515.9609, usercpu_time_millis: 6240, usercpu_time_millis_testing: 6240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9479, kappa: 0.9326, kb_relative_information_score: 9194.2977, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9499, predictive_accuracy: 0.9544, prior_entropy: 1.7176, recall: 0.9544, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.511, scimark_benchmark: 1576.4324, usercpu_time_millis: 6100, usercpu_time_millis_testing: 6090, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9655, kappa: 0.9503, kb_relative_information_score: 2870.4797, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9655, predictive_accuracy: 0.9661, prior_entropy: 1.7176, recall: 0.9661, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.8614, scimark_benchmark: 1486.2889, usercpu_time_millis: 53700, usercpu_time_millis_testing: 11260, usercpu_time_millis_training: 42440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9104, kappa: 0.8841, kb_relative_information_score: 2741.496, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8998, predictive_accuracy: 0.9218, prior_entropy: 1.7176, recall: 0.9218, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8691, scimark_benchmark: 1564.9242, usercpu_time_millis: 71580, usercpu_time_millis_testing: 12090, usercpu_time_millis_training: 59490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8989, kappa: 0.8664, kb_relative_information_score: 2595.22, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8896, predictive_accuracy: 0.9099, prior_entropy: 1.7176, recall: 0.9099, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.8755, scimark_benchmark: 1576.9483, usercpu_time_millis: 126630, usercpu_time_millis_testing: 17180, usercpu_time_millis_training: 109450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9843, kappa: 0.977, kb_relative_information_score: 2932.9542, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 1.7176, recall: 0.9843, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8582, scimark_benchmark: 1519.0156, usercpu_time_millis: 35410, usercpu_time_millis_testing: 4320, usercpu_time_millis_training: 31090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9849, kappa: 0.9779, kb_relative_information_score: 2934.7241, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 1.7176, recall: 0.985, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8581, scimark_benchmark: 1598.7241, usercpu_time_millis: 114540, usercpu_time_millis_testing: 3870, usercpu_time_millis_training: 110670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9874, kappa: 0.9818, kb_relative_information_score: 2941.6778, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9874, predictive_accuracy: 0.9876, prior_entropy: 1.7176, recall: 0.9876, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.8577, scimark_benchmark: 1534.6868, usercpu_time_millis: 55320, usercpu_time_millis_testing: 3700, usercpu_time_millis_training: 51620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9289, kappa: 0.896, kb_relative_information_score: 2781.0122, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9288, predictive_accuracy: 0.9291, prior_entropy: 1.7176, recall: 0.9291, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8675, scimark_benchmark: 1503.1995, usercpu_time_millis: 3330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9283, kappa: 0.8953, kb_relative_information_score: 2779.3396, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9282, predictive_accuracy: 0.9286, prior_entropy: 1.7176, recall: 0.9286, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.8674, scimark_benchmark: 1492.4631, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9246, kappa: 0.891, kb_relative_information_score: 2758.6114, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.925, predictive_accuracy: 0.9259, prior_entropy: 1.7176, recall: 0.9259, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8684, scimark_benchmark: 1541.9776, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,

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