OpenML
Supervised Classification on creditcard

Supervised Classification on creditcard

Task 145685 Supervised Classification creditcard 350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.9983, f_measure: 0, kb_relative_information_score: -141702042.2774, mean_absolute_error: 0.9983, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0, predictive_accuracy: 0.0017, prior_entropy: 0.0184, recall: 0.0017, relative_absolute_error: 289.1457, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.9991, root_relative_squared_error: 24.0598, scimark_benchmark: 1840.702, total_cost: 284315, usercpu_time_millis: 1011156.25, usercpu_time_millis_testing: 1187.5, usercpu_time_millis_training: 1009968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, average_cost: 0.2161, f_measure: 0.9994, kappa: 0.8143, kb_relative_information_score: -809230.6099, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.5467, total_cost: 61545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, average_cost: 0.3324, f_measure: 0.9987, kappa: 0.6267, kb_relative_information_score: 104526.3099, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 0.0184, recall: 0.9987, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.8561, total_cost: 94671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, average_cost: 0.1682, f_measure: 0.9448, kappa: 0.0271, kb_relative_information_score: -14171052.0954, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.8983, prior_entropy: 0.0184, recall: 0.8983, relative_absolute_error: 29.3969, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.3183, root_relative_squared_error: 7.6653, total_cost: 47915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: -124585215.2135, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 134.3957, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.464, root_relative_squared_error: 11.1737, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, average_cost: 0.1112, f_measure: 0.9939, kappa: 0.2386, kb_relative_information_score: -62390545.0054, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9904, prior_entropy: 0.0184, recall: 0.9904, relative_absolute_error: 19.5234, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1194, root_relative_squared_error: 2.8744, total_cost: 31677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, average_cost: 0.1492, f_measure: 0.9795, kappa: 0.0719, kb_relative_information_score: -5666114.3803, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9629, prior_entropy: 0.0184, recall: 0.9629, relative_absolute_error: 10.8057, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1897, root_relative_squared_error: 4.5684, total_cost: 42492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, average_cost: 0.1593, f_measure: 0.9852, kappa: 0.0977, kb_relative_information_score: -3771364.136, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9739, prior_entropy: 0.0184, recall: 0.9739, relative_absolute_error: 7.5836, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1595, root_relative_squared_error: 3.8418, total_cost: 45361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, average_cost: 0.1442, f_measure: 0.9821, kappa: 0.0827, kb_relative_information_score: -4977402.1586, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.968, prior_entropy: 0.0184, recall: 0.968, relative_absolute_error: 9.3343, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1758, root_relative_squared_error: 4.2338, total_cost: 41064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, average_cost: 0.1097, f_measure: 0.9938, kappa: 0.2355, kb_relative_information_score: -61430178.339, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9902, prior_entropy: 0.0184, recall: 0.9902, relative_absolute_error: 19.5737, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1203, root_relative_squared_error: 2.8961, total_cost: 31232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, average_cost: 0.1186, f_measure: 0.9956, kappa: 0.3138, kb_relative_information_score: -70627853.7867, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9984, predictive_accuracy: 0.9935, prior_entropy: 0.0184, recall: 0.9935, relative_absolute_error: 22.2194, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1196, root_relative_squared_error: 2.8801, total_cost: 33791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0997, kb_relative_information_score: -3765228.5878, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5254, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1588, root_relative_squared_error: 3.8232, total_cost: 42314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, average_cost: 0.1112, f_measure: 0.9939, kappa: 0.2392, kb_relative_information_score: -59576362.8961, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9904, prior_entropy: 0.0184, recall: 0.9904, relative_absolute_error: 19.6106, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1209, root_relative_squared_error: 2.9118, total_cost: 31669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, average_cost: 0.1236, f_measure: 0.9892, kappa: 0.1382, kb_relative_information_score: -82703476.9701, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9815, prior_entropy: 0.0184, recall: 0.9815, relative_absolute_error: 29.1295, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1493, root_relative_squared_error: 3.5946, total_cost: 35206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, average_cost: 0.4427, f_measure: 0.9987, kappa: 0.5848, kb_relative_information_score: -115136667.6536, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9988, prior_entropy: 0.0184, recall: 0.9988, relative_absolute_error: 88.5289, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.3081, root_relative_squared_error: 7.4191, total_cost: 126088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, average_cost: 0.1509, f_measure: 0.9841, kappa: 0.092, kb_relative_information_score: -26547140.5435, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9717, prior_entropy: 0.0184, recall: 0.9717, relative_absolute_error: 18.0207, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1655, root_relative_squared_error: 3.9862, total_cost: 42978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, average_cost: 0.3267, f_measure: 0.9991, kappa: 0.7299, kb_relative_information_score: -562139.6346, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9991, predictive_accuracy: 0.9992, prior_entropy: 0.0184, recall: 0.9992, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.6294, total_cost: 93040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, average_cost: 0.2008, f_measure: 0.9828, kappa: 0.0795, kb_relative_information_score: -35634338.3935, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.998, predictive_accuracy: 0.9691, prior_entropy: 0.0184, recall: 0.9691, relative_absolute_error: 40.4002, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.2822, root_relative_squared_error: 6.7951, total_cost: 57190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, average_cost: 0.112, f_measure: 0.9925, kappa: 0.1991, kb_relative_information_score: -63150001.4213, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9879, prior_entropy: 0.0184, recall: 0.9879, relative_absolute_error: 21.7183, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.13, root_relative_squared_error: 3.1304, total_cost: 31889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.9983, f_measure: 0, kb_relative_information_score: -141657520.0204, mean_absolute_error: 0.9963, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0, predictive_accuracy: 0.0017, prior_entropy: 0.0184, recall: 0.0017, relative_absolute_error: 288.5695, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.9971, root_relative_squared_error: 24.0118, total_cost: 284315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, average_cost: 0.1879, f_measure: 0.9995, kappa: 0.8553, kb_relative_information_score: 221064.0142, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.0184, recall: 0.9995, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0212, root_relative_squared_error: 0.511, total_cost: 53523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, average_cost: 0.1885, f_measure: 0.9539, kappa: 0.0312, kb_relative_information_score: -11821553.8907, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9149, prior_entropy: 0.0184, recall: 0.9149, relative_absolute_error: 24.6523, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.2917, root_relative_squared_error: 7.0252, total_cost: 53682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, average_cost: 0.1076, f_measure: 0.9893, kappa: 0.1423, kb_relative_information_score: -50266111.204, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9817, prior_entropy: 0.0184, recall: 0.9817, relative_absolute_error: 17.4349, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1332, root_relative_squared_error: 3.207, total_cost: 30648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: -124287992.7933, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 132.6218, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.4579, root_relative_squared_error: 11.0263, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, average_cost: 0.5108, f_measure: 0.6708, kappa: 0.0034, kb_relative_information_score: -97826608.6392, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.5067, prior_entropy: 0.0184, recall: 0.5067, relative_absolute_error: 141.7132, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.6396, root_relative_squared_error: 15.4014, total_cost: 145472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, average_cost: 0.1111, f_measure: 0.9821, kappa: 0.0858, kb_relative_information_score: -4299165.549, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9678, prior_entropy: 0.0184, recall: 0.9678, relative_absolute_error: 9.3339, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1795, root_relative_squared_error: 4.3228, total_cost: 31633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, average_cost: 0.1104, f_measure: 0.9833, kappa: 0.0921, kb_relative_information_score: -3956578.4981, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9702, prior_entropy: 0.0184, recall: 0.9702, relative_absolute_error: 8.6363, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1727, root_relative_squared_error: 4.1581, total_cost: 31446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, average_cost: 0.1085, f_measure: 0.9815, kappa: 0.0837, kb_relative_information_score: -4437498.8043, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9668, prior_entropy: 0.0184, recall: 0.9668, relative_absolute_error: 9.6156, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1822, root_relative_squared_error: 4.3876, total_cost: 30912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, average_cost: 0.232, f_measure: 0.9992, kappa: 0.7697, kb_relative_information_score: 176939.0248, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.0184, recall: 0.9992, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0275, root_relative_squared_error: 0.6616, total_cost: 66083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, average_cost: 0.1753, f_measure: 0.9984, kappa: 0.5932, kb_relative_information_score: 16246.8367, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9981, prior_entropy: 0.0184, recall: 0.9981, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0433, root_relative_squared_error: 1.0427, total_cost: 49938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, average_cost: 0.1281, f_measure: 0.9878, kappa: 0.1219, kb_relative_information_score: -71304341.1806, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9788, prior_entropy: 0.0184, recall: 0.9788, relative_absolute_error: 20.6322, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1389, root_relative_squared_error: 3.345, total_cost: 36487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, average_cost: 0.1916, f_measure: 0.9994, kappa: 0.8155, kb_relative_information_score: 197913.7422, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.5935, total_cost: 54564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, average_cost: 0.1076, f_measure: 0.9949, kappa: 0.2822, kb_relative_information_score: -57697272.9552, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9984, predictive_accuracy: 0.9923, prior_entropy: 0.0184, recall: 0.9923, relative_absolute_error: 18.1242, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.115, root_relative_squared_error: 2.7689, total_cost: 30633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, average_cost: 0.1103, f_measure: 0.9807, kappa: 0.0798, kb_relative_information_score: -4681205.0446, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9651, prior_entropy: 0.0184, recall: 0.9651, relative_absolute_error: 10.1119, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1868, root_relative_squared_error: 4.4994, total_cost: 31400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, average_cost: 0.104, f_measure: 0.9876, kappa: 0.1235, kb_relative_information_score: -74633708.4042, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9784, prior_entropy: 0.0184, recall: 0.9784, relative_absolute_error: 30.8334, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1677, root_relative_squared_error: 4.0394, total_cost: 29611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, average_cost: 0.1212, f_measure: 0.9982, kappa: 0.5847, kb_relative_information_score: -36617881.5735, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9988, predictive_accuracy: 0.9979, prior_entropy: 0.0184, recall: 0.9979, relative_absolute_error: 8.7662, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0693, root_relative_squared_error: 1.6683, total_cost: 34532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, average_cost: 0.1101, f_measure: 0.9807, kappa: 0.0801, kb_relative_information_score: -4658732.1331, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9652, prior_entropy: 0.0184, recall: 0.9652, relative_absolute_error: 10.0662, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1864, root_relative_squared_error: 4.4892, total_cost: 31355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, average_cost: 0.1447, f_measure: 0.9846, kappa: 0.0956, kb_relative_information_score: -3599508.9042, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9727, prior_entropy: 0.0184, recall: 0.9727, relative_absolute_error: 7.9091, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1652, root_relative_squared_error: 3.9792, total_cost: 41210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, average_cost: 0.1038, f_measure: 0.9877, kappa: 0.1244, kb_relative_information_score: -74093124.545, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9786, prior_entropy: 0.0184, recall: 0.9786, relative_absolute_error: 30.8568, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.168, root_relative_squared_error: 4.0457, total_cost: 29558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, average_cost: 0.1281, f_measure: 0.9878, kappa: 0.1219, kb_relative_information_score: -71304341.1806, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9788, prior_entropy: 0.0184, recall: 0.9788, relative_absolute_error: 20.6322, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1389, root_relative_squared_error: 3.345, total_cost: 36487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, average_cost: 0.1233, f_measure: 0.9747, kappa: 0.0606, kb_relative_information_score: -6287768.5182, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9538, prior_entropy: 0.0184, recall: 0.9538, relative_absolute_error: 13.3836, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.215, root_relative_squared_error: 5.1763, total_cost: 35116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.9983, f_measure: 0, kb_relative_information_score: -141702042.2774, mean_absolute_error: 0.9983, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0, predictive_accuracy: 0.0017, prior_entropy: 0.0184, recall: 0.0017, relative_absolute_error: 289.1457, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.9991, root_relative_squared_error: 24.0598, total_cost: 284315,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, average_cost: 0.1339, f_measure: 0.9993, kappa: 0.7973, kb_relative_information_score: -11445773.3511, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.0184, recall: 0.9993, relative_absolute_error: 1.715, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.03, root_relative_squared_error: 0.7215, total_cost: 38135,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, average_cost: 0.1686, f_measure: 0.9996, kappa: 0.8682, kb_relative_information_score: -1533041.0238, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.0184, recall: 0.9996, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.02, root_relative_squared_error: 0.4823, total_cost: 48024,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, average_cost: 0.1601, f_measure: 0.9802, kappa: 0.0734, kb_relative_information_score: -4795567.1943, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9643, prior_entropy: 0.0184, recall: 0.9643, relative_absolute_error: 10.3448, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.189, root_relative_squared_error: 4.5509, total_cost: 45601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, average_cost: 0.1601, f_measure: 0.9802, kappa: 0.0734, kb_relative_information_score: -4795567.1943, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9643, prior_entropy: 0.0184, recall: 0.9643, relative_absolute_error: 10.3448, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.189, root_relative_squared_error: 4.5509, total_cost: 45601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, average_cost: 0.1617, f_measure: 0.9995, kappa: 0.8526, kb_relative_information_score: -958430.0486, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.0184, recall: 0.9995, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.022, root_relative_squared_error: 0.5301, total_cost: 46046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, average_cost: 0.1986, f_measure: 0.9994, kappa: 0.8218, kb_relative_information_score: 82579.2553, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0225, root_relative_squared_error: 0.5421, total_cost: 56551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, average_cost: 0.1385, f_measure: 0.9924, kappa: 0.1902, kb_relative_information_score: -1439258.4468, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9876, prior_entropy: 0.0184, recall: 0.9876, relative_absolute_error: 3.1809, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0992, root_relative_squared_error: 2.3893, total_cost: 39448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, average_cost: 0.1736, f_measure: 0.9505, kappa: 0.0298, kb_relative_information_score: -12700538.6658, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9087, prior_entropy: 0.0184, recall: 0.9087, relative_absolute_error: 26.4428, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.3021, root_relative_squared_error: 7.2759, total_cost: 49454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, average_cost: 0.1658, f_measure: 0.9864, kappa: 0.1051, kb_relative_information_score: -60037584.345, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9762, prior_entropy: 0.0184, recall: 0.9762, relative_absolute_error: 23.706, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1592, root_relative_squared_error: 3.8336, total_cost: 47208,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, average_cost: 0.239, f_measure: 0.9992, kappa: 0.7744, kb_relative_information_score: 180934.209, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9992, predictive_accuracy: 0.9993, prior_entropy: 0.0184, recall: 0.9993, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.027, root_relative_squared_error: 0.6492, total_cost: 68071,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, average_cost: 0.1247, f_measure: 0.9832, kappa: 0.0897, kb_relative_information_score: -33744239.4702, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9699, prior_entropy: 0.0184, recall: 0.9699, relative_absolute_error: 14.5023, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1507, root_relative_squared_error: 3.6281, total_cost: 35517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, average_cost: 0.129, f_measure: 0.999, kappa: 0.725, kb_relative_information_score: -21991371.7962, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9991, predictive_accuracy: 0.9989, prior_entropy: 0.0184, recall: 0.9989, relative_absolute_error: 4.432, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0466, root_relative_squared_error: 1.121, total_cost: 36744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, average_cost: 0.425, f_measure: 0.9989, kappa: 0.6332, kb_relative_information_score: -298388.5928, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9989, predictive_accuracy: 0.999, prior_entropy: 0.0184, recall: 0.999, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.7138, total_cost: 121047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, average_cost: 0.1449, f_measure: 0.9744, kappa: 0.0583, kb_relative_information_score: -80421587.1228, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9533, prior_entropy: 0.0184, recall: 0.9533, relative_absolute_error: 28.8466, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1733, root_relative_squared_error: 4.1728, total_cost: 41258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, average_cost: 0.121, f_measure: 0.9851, kappa: 0.1014, kb_relative_information_score: -38438393.685, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9736, prior_entropy: 0.0184, recall: 0.9736, relative_absolute_error: 15.4167, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.146, root_relative_squared_error: 3.5154, total_cost: 34468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, average_cost: 0.216, f_measure: 0.9994, kappa: 0.8299, kb_relative_information_score: -492525.4334, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9994, predictive_accuracy: 0.9995, prior_entropy: 0.0184, recall: 0.9995, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.5258, total_cost: 61528,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, average_cost: 0.2144, f_measure: 0.9993, kappa: 0.804, kb_relative_information_score: -1903265.7999, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9993, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.5746, total_cost: 61058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, average_cost: 0.1777, f_measure: 0.982, kappa: 0.0788, kb_relative_information_score: -4300164.3451, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.998, predictive_accuracy: 0.9678, prior_entropy: 0.0184, recall: 0.9678, relative_absolute_error: 9.336, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1795, root_relative_squared_error: 4.3233, total_cost: 50597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, average_cost: 0.178, f_measure: 0.9977, kappa: 0.495, kb_relative_information_score: -108630045.6685, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9985, predictive_accuracy: 0.9972, prior_entropy: 0.0184, recall: 0.9972, relative_absolute_error: 67.4642, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.2393, root_relative_squared_error: 5.763, total_cost: 50696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, average_cost: 0.2696, f_measure: 0.9986, kappa: 0.6106, kb_relative_information_score: 69069.0496, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9985, prior_entropy: 0.0184, recall: 0.9985, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.9368, total_cost: 76778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, average_cost: 0.274, f_measure: 0.9993, kappa: 0.7894, kb_relative_information_score: 196960.1969, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9993, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.5975, total_cost: 78023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, average_cost: 0.1639, f_measure: 0.9374, kappa: 0.0243, kb_relative_information_score: -16047504.286, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.8852, prior_entropy: 0.0184, recall: 0.8852, relative_absolute_error: 33.2586, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.3389, root_relative_squared_error: 8.1599, total_cost: 46675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0997, kb_relative_information_score: -3765228.5878, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5254, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1588, root_relative_squared_error: 3.8232, total_cost: 42314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, average_cost: 0.2642, f_measure: 0.9986, kappa: 0.6251, kb_relative_information_score: 80055.8063, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9986, prior_entropy: 0.0184, recall: 0.9986, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.9125, total_cost: 75259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: 38605.7695, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0416, root_relative_squared_error: 1.0009, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0997, kb_relative_information_score: -3765228.5878, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5254, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1588, root_relative_squared_error: 3.8232, total_cost: 42314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, average_cost: 0.2781, f_measure: 0.9988, kappa: 0.6517, kb_relative_information_score: 106523.9021, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.0184, recall: 0.9988, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.8514, total_cost: 79198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.9983, f_measure: 0, kb_relative_information_score: -141702042.2774, mean_absolute_error: 0.9983, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0, predictive_accuracy: 0.0017, prior_entropy: 0.0184, recall: 0.0017, relative_absolute_error: 289.1457, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.9991, root_relative_squared_error: 24.0598, total_cost: 284315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, average_cost: 0.1826, f_measure: 0.9996, kappa: 0.8649, kb_relative_information_score: 225081.3993, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.0184, recall: 0.9996, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0205, root_relative_squared_error: 0.4941, total_cost: 52017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, average_cost: 0.1037, f_measure: 0.9877, kappa: 0.1249, kb_relative_information_score: -73488292.2717, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9787, prior_entropy: 0.0184, recall: 0.9787, relative_absolute_error: 30.4257, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1668, root_relative_squared_error: 4.0161, total_cost: 29532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, average_cost: 0.1844, f_measure: 0.9995, kappa: 0.8607, kb_relative_information_score: 221911.5744, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9996, prior_entropy: 0.0184, recall: 0.9996, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.5016, total_cost: 52520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, average_cost: 0.1442, f_measure: 0.9821, kappa: 0.0827, kb_relative_information_score: -4977404.5797, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.968, prior_entropy: 0.0184, recall: 0.968, relative_absolute_error: 9.3343, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1758, root_relative_squared_error: 4.2338, total_cost: 41064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, average_cost: 0.1792, f_measure: 0.9995, kappa: 0.8607, kb_relative_information_score: -391244.2992, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9996, prior_entropy: 0.0184, recall: 0.9996, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0215, root_relative_squared_error: 0.5167, total_cost: 51024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, average_cost: 0.1044, f_measure: 0.9892, kappa: 0.1408, kb_relative_information_score: -69241466.3756, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9814, prior_entropy: 0.0184, recall: 0.9814, relative_absolute_error: 22.3447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1412, root_relative_squared_error: 3.4004, total_cost: 29739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, average_cost: 0.1575, f_measure: 0.9825, kappa: 0.0829, kb_relative_information_score: -4181307.6131, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9686, prior_entropy: 0.0184, recall: 0.9686, relative_absolute_error: 9.0939, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1772, root_relative_squared_error: 4.2669, total_cost: 44870,

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

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