OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 1892 Supervised Classification mfeat-factors 172 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8888, kappa: 0.8764, kb_relative_information_score: 17550.2896, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.889, predictive_accuracy: 0.8888, prior_entropy: 3.3219, recall: 0.8888, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.479, scimark_benchmark: 932.5646, usercpu_time_millis: 4550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9333, kappa: 0.9257, kb_relative_information_score: 18616.7712, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9343, predictive_accuracy: 0.9332, prior_entropy: 3.3219, recall: 0.9332, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3807, scimark_benchmark: 883.2709, usercpu_time_millis: 580, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 1331.2332, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 19420.6504, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 3.3219, recall: 0.9723, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481, scimark_benchmark: 1261.7298, usercpu_time_millis: 3030, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.958, kappa: 0.9533, kb_relative_information_score: 17679.0153, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9584, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398, scimark_benchmark: 1349.9741, usercpu_time_millis: 18760, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 18350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9437, kappa: 0.9374, kb_relative_information_score: 18718.9334, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9439, predictive_accuracy: 0.9437, prior_entropy: 3.3219, recall: 0.9437, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.3038, scimark_benchmark: 1313.6093, usercpu_time_millis: 6910, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.153, kappa: 0.0832, kb_relative_information_score: 2029, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9108, predictive_accuracy: 0.1749, prior_entropy: 3.3219, recall: 0.1749, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.9479, scimark_benchmark: 1313.0885, usercpu_time_millis: 862830, usercpu_time_millis_testing: 862830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9613, kappa: 0.9571, kb_relative_information_score: 19150.243, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 3.3219, recall: 0.9614, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2923, scimark_benchmark: 1349.9741, usercpu_time_millis: 4480, usercpu_time_millis_testing: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9613, kappa: 0.9571, kb_relative_information_score: 19191.6295, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 3.3219, recall: 0.9614, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2931, scimark_benchmark: 1296.8947, usercpu_time_millis: 15880, usercpu_time_millis_testing: 15880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9324, kappa: 0.9249, kb_relative_information_score: 18586.1359, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9335, predictive_accuracy: 0.9324, prior_entropy: 3.3219, recall: 0.9324, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3876, scimark_benchmark: 1270.2428, usercpu_time_millis: 18490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 18420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.1326, kappa: 0.1077, kb_relative_information_score: 4517.9412, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1176, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9623, scimark_benchmark: 1339.4964, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9734, kappa: 0.9704, kb_relative_information_score: 19466.2782, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9736, predictive_accuracy: 0.9734, prior_entropy: 3.3219, recall: 0.9734, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.2319, scimark_benchmark: 1330.6247, usercpu_time_millis: 108340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 108330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9554, kappa: 0.9504, kb_relative_information_score: 17652.6067, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9558, predictive_accuracy: 0.9554, prior_entropy: 3.3219, recall: 0.9554, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.345, scimark_benchmark: 1318.5627, usercpu_time_millis: 5170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9683, kappa: 0.9648, kb_relative_information_score: 19362.7082, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 3.3219, recall: 0.9683, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.2388, scimark_benchmark: 1264.0609, usercpu_time_millis: 26070, usercpu_time_millis_training: 26070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8486, kappa: 0.8319, kb_relative_information_score: 16807.0363, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8485, predictive_accuracy: 0.8488, prior_entropy: 3.3219, recall: 0.8488, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5583, scimark_benchmark: 1317.8359, usercpu_time_millis: 1640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8486, kappa: 0.8319, kb_relative_information_score: 16807.0363, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8485, predictive_accuracy: 0.8488, prior_entropy: 3.3219, recall: 0.8488, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5583, scimark_benchmark: 1360.2771, usercpu_time_millis: 2310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.804, kappa: 0.7822, kb_relative_information_score: 15905.0501, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8043, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156, scimark_benchmark: 922.1419, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9246, kappa: 0.9161, kb_relative_information_score: 18448.1363, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9257, predictive_accuracy: 0.9245, prior_entropy: 3.3219, recall: 0.9245, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.4037, scimark_benchmark: 922.1419, usercpu_time_millis: 1090, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.6177, kappa: 0.607, kb_relative_information_score: 9621.9595, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6297, predictive_accuracy: 0.6463, prior_entropy: 3.3219, recall: 0.6463, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8019, scimark_benchmark: 1413.089, usercpu_time_millis: 3910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9791, kappa: 0.9768, kb_relative_information_score: 19573.6929, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 3.3219, recall: 0.9791, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2076, scimark_benchmark: 1419.2433, usercpu_time_millis: 64970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 64940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.6791, kappa: 0.6423, kb_relative_information_score: 10146.3206, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6862, predictive_accuracy: 0.6781, prior_entropy: 3.3219, recall: 0.6781, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.7555, scimark_benchmark: 1370.6464, usercpu_time_millis: 5820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8842, kappa: 0.8715, kb_relative_information_score: 17392.898, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8842, predictive_accuracy: 0.8844, prior_entropy: 3.3219, recall: 0.8844, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4892, scimark_benchmark: 1321.76, usercpu_time_millis: 3900, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 932.0242, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.8325, kappa: 0.8139, kb_relative_information_score: 16497.7582, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8326, predictive_accuracy: 0.8326, prior_entropy: 3.3219, recall: 0.8326, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.61, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9737, kappa: 0.9708, kb_relative_information_score: 19425.2036, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 3.3219, recall: 0.9737, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2239, scimark_benchmark: 1321.527, usercpu_time_millis: 7710, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8907, kappa: 0.8788, kb_relative_information_score: 17678.6722, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8912, predictive_accuracy: 0.8909, prior_entropy: 3.3219, recall: 0.8909, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4848, scimark_benchmark: 932.0242, usercpu_time_millis: 1520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8311, kappa: 0.8127, kb_relative_information_score: 15818.5867, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8316, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, scimark_benchmark: 1345.1228, usercpu_time_millis: 15940, usercpu_time_millis_training: 15940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9319, kappa: 0.9244, kb_relative_information_score: 18500.0355, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 3.3219, recall: 0.932, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3571, scimark_benchmark: 1283.2145, usercpu_time_millis: 15060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9728, kappa: 0.9698, kb_relative_information_score: 19453.3913, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.973, predictive_accuracy: 0.9728, prior_entropy: 3.3219, recall: 0.9728, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2296, scimark_benchmark: 1332.4146, usercpu_time_millis: 54980, usercpu_time_millis_training: 54980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9468, kappa: 0.9409, kb_relative_information_score: 17769.8824, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.947, predictive_accuracy: 0.9468, prior_entropy: 3.3219, recall: 0.9468, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3503, scimark_benchmark: 1326.1812, usercpu_time_millis: 4510, usercpu_time_millis_training: 4510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9384, kappa: 0.9316, kb_relative_information_score: 17701.0626, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 3.3219, recall: 0.9384, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3645, scimark_benchmark: 1321.6786, usercpu_time_millis: 2170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9249, kappa: 0.9164, kb_relative_information_score: 18449.2911, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.926, predictive_accuracy: 0.9248, prior_entropy: 3.3219, recall: 0.9248, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.121, root_relative_squared_error: 0.4035, scimark_benchmark: 1363.454, usercpu_time_millis: 1310, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8787, kappa: 0.8671, kb_relative_information_score: 5430.1015, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8881, predictive_accuracy: 0.8804, prior_entropy: 3.3219, recall: 0.8804, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.913, scimark_benchmark: 906.4475, usercpu_time_millis: 410, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9207, kappa: 0.911, kb_relative_information_score: 1113.0075, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.925, predictive_accuracy: 0.9199, prior_entropy: 3.3219, recall: 0.9199, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9852, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9247, kappa: 0.9163, kb_relative_information_score: 18445.5347, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9259, predictive_accuracy: 0.9247, prior_entropy: 3.3219, recall: 0.9247, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.4039, scimark_benchmark: 1324.8395, usercpu_time_millis: 4180, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9507, kappa: 0.9452, kb_relative_information_score: 17630.2143, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.951, predictive_accuracy: 0.9507, prior_entropy: 3.3219, recall: 0.9507, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3506, scimark_benchmark: 860.584, usercpu_time_millis: 2540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9443, kappa: 0.9381, kb_relative_information_score: 17601.1093, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9446, predictive_accuracy: 0.9443, prior_entropy: 3.3219, recall: 0.9443, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3602, scimark_benchmark: 938.9967, usercpu_time_millis: 1410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9584, kappa: 0.9537, kb_relative_information_score: 19121.2703, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 3.3219, recall: 0.9583, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663, scimark_benchmark: 918.6005, usercpu_time_millis: 16350, usercpu_time_millis_training: 16350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8906, kappa: 0.8786, kb_relative_information_score: 17699.6749, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8907, predictive_accuracy: 0.8907, prior_entropy: 3.3219, recall: 0.8907, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4754, scimark_benchmark: 869.6028, usercpu_time_millis: 2270, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 1363.434, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 942.6843, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 1304.9611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 889.3151, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.1233, kappa: 0.1076, kb_relative_information_score: 4427.6622, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0973, predictive_accuracy: 0.1968, prior_entropy: 3.3219, recall: 0.1968, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9642, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 19222.1346, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9654, prior_entropy: 3.3219, recall: 0.9654, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2498, scimark_benchmark: 916.6405, usercpu_time_millis: 6860, usercpu_time_millis_testing: 6860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9682, kappa: 0.9647, kb_relative_information_score: 19307.5688, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9685, predictive_accuracy: 0.9683, prior_entropy: 3.3219, recall: 0.9683, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2452, scimark_benchmark: 854.5188, usercpu_time_millis: 6340, usercpu_time_millis_testing: 6340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8753, kappa: 0.8603, kb_relative_information_score: 17140.0578, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8794, predictive_accuracy: 0.8743, prior_entropy: 3.3219, recall: 0.8743, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4818, scimark_benchmark: 1313.5726, usercpu_time_millis: 1273870, usercpu_time_millis_testing: 5230, usercpu_time_millis_training: 1268640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9588, kappa: 0.9542, kb_relative_information_score: 5929.9264, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9594, predictive_accuracy: 0.9588, prior_entropy: 3.3219, recall: 0.9588, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.909, scimark_benchmark: 930.5999, usercpu_time_millis: 13600, usercpu_time_millis_testing: 11180, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9768, kappa: 0.9742, kb_relative_information_score: 5962.9025, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 3.3219, recall: 0.9768, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9075, scimark_benchmark: 1321.527, usercpu_time_millis: 730, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 19450.423, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2076, scimark_benchmark: 1315.395, usercpu_time_millis: 11080, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 10990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 19420.6504, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 3.3219, recall: 0.9723, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.2481, scimark_benchmark: 1386.5717, usercpu_time_millis: 4860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.1572, kappa: 0.1536, kb_relative_information_score: 4066.8389, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5033, predictive_accuracy: 0.2382, prior_entropy: 3.3219, recall: 0.2382, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3903, root_relative_squared_error: 1.3011, scimark_benchmark: 1304.9611, usercpu_time_millis: 69040, usercpu_time_millis_testing: 24610, usercpu_time_millis_training: 44430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9671, kappa: 0.9634, kb_relative_information_score: 17880.7439, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 3.3219, recall: 0.9671, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3241, scimark_benchmark: 1346.9602, usercpu_time_millis: 2040, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.845, kappa: 0.8279, kb_relative_information_score: 16760.2433, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.845, predictive_accuracy: 0.8451, prior_entropy: 3.3219, recall: 0.8451, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5867, scimark_benchmark: 1313.5726, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8645, kappa: 0.8492, kb_relative_information_score: 16817.0992, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8648, predictive_accuracy: 0.8643, prior_entropy: 3.3219, recall: 0.8643, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.5075, scimark_benchmark: 1318.5526, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8861, kappa: 0.8735, kb_relative_information_score: 17420.6138, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8864, predictive_accuracy: 0.8862, prior_entropy: 3.3219, recall: 0.8862, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4765, scimark_benchmark: 1309.3173, usercpu_time_millis: 4410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9353, kappa: 0.9282, kb_relative_information_score: 18647.8356, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.936, predictive_accuracy: 0.9354, prior_entropy: 3.3219, recall: 0.9354, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.379, scimark_benchmark: 1435.4217, usercpu_time_millis: 3400, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.0285, kappa: 0.0058, kb_relative_information_score: 1285.1239, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5101, predictive_accuracy: 0.1052, prior_entropy: 3.3219, recall: 0.1052, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.423, root_relative_squared_error: 1.4101, scimark_benchmark: 1384.4418, usercpu_time_millis: 8880, usercpu_time_millis_testing: 1830, usercpu_time_millis_training: 7050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.904, kappa: 0.8936, kb_relative_information_score: 17959.1664, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.904, predictive_accuracy: 0.9042, prior_entropy: 3.3219, recall: 0.9042, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.455, scimark_benchmark: 1466.6185, usercpu_time_millis: 1280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.3865, kappa: 0.3276, kb_relative_information_score: 7343.1971, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3854, predictive_accuracy: 0.3949, prior_entropy: 3.3219, recall: 0.3949, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3479, root_relative_squared_error: 1.1596, scimark_benchmark: 1465.2979, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8829, kappa: 0.8697, kb_relative_information_score: 17547.6987, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8833, predictive_accuracy: 0.8828, prior_entropy: 3.3219, recall: 0.8828, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.5104, scimark_benchmark: 1503.3362, usercpu_time_millis: 75260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 75250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.888, kappa: 0.8757, kb_relative_information_score: 17670.5925, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8882, predictive_accuracy: 0.8881, prior_entropy: 3.3219, recall: 0.8881, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.479, scimark_benchmark: 1066.833, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 426.7893, build_memory: 1148731320.56, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 18266.5056, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2955, scimark_benchmark: 746.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 590.6336, build_memory: 112102093.04, f_measure: 0.9679, kappa: 0.9643, kb_relative_information_score: 18270.4245, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9682, predictive_accuracy: 0.9679, prior_entropy: 3.3219, recall: 0.9679, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2932, scimark_benchmark: 574.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 99.5448, build_memory: 83836613.6, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 18263.0531, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9512, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3142, scimark_benchmark: 939.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 95.9907, build_memory: 109856338.72, f_measure: 0.951, kappa: 0.9456, kb_relative_information_score: 18263.0531, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9512, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3142, scimark_benchmark: 944.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 51.871, build_memory: 843769615.2, f_measure: 0.9501, kappa: 0.9446, kb_relative_information_score: 18261.0066, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 3.3219, recall: 0.9502, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3155, scimark_benchmark: 896.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 23.5627, build_memory: 87705763.68, f_measure: 0.9472, kappa: 0.9414, kb_relative_information_score: 18249.0855, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9475, predictive_accuracy: 0.9473, prior_entropy: 3.3219, recall: 0.9473, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3194, scimark_benchmark: 943.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, build_cpu_time: 12.7422, build_memory: 796607964.96, f_measure: 0.945, kappa: 0.9389, kb_relative_information_score: 18232.1372, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9452, predictive_accuracy: 0.9451, prior_entropy: 3.3219, recall: 0.9451, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.326, scimark_benchmark: 896.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8842, kappa: 0.8715, kb_relative_information_score: 17392.898, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8842, predictive_accuracy: 0.8844, prior_entropy: 3.3219, recall: 0.8844, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4892, scimark_benchmark: 947.3303,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs