Task
Supervised Classification on OVA_Endometrium

Supervised Classification on OVA_Endometrium

Task 3976 Supervised Classification OVA_Endometrium 71 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9588, kappa: 0.4189, kb_relative_information_score: -1160.7416, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9568, predictive_accuracy: 0.9618, prior_entropy: 0.2426, recall: 0.9618, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.9623, kappa: 0.4937, kb_relative_information_score: 426.2765, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9617, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.9728, scimark_benchmark: 1150.4212, usercpu_time_millis: 19240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 19140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.9412, kb_relative_information_score: 14.7066, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9414, kappa: 0.0457, kb_relative_information_score: -1859.8617, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9315, predictive_accuracy: 0.9566, prior_entropy: 0.2426, recall: 0.9566, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.9368, kappa: 0.2309, kb_relative_information_score: -506.2134, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9421, predictive_accuracy: 0.932, prior_entropy: 0.2426, recall: 0.932, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2607, root_relative_squared_error: 1.3387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.9412, kb_relative_information_score: 20.3569, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1948, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9412, kb_relative_information_score: 346.0639, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.0203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.9532, kappa: 0.3626, kb_relative_information_score: 171.7344, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9518, predictive_accuracy: 0.9547, prior_entropy: 0.2426, recall: 0.9547, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2129, root_relative_squared_error: 1.093, scimark_benchmark: 1922.3298, usercpu_time_millis: 72000, usercpu_time_millis_testing: 32859.375, usercpu_time_millis_training: 39140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.951, kappa: 0.3216, kb_relative_information_score: 132.9945, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9489, predictive_accuracy: 0.9534, prior_entropy: 0.2426, recall: 0.9534, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2159, root_relative_squared_error: 1.1085, scimark_benchmark: 1922.3298, usercpu_time_millis: 66562.5, usercpu_time_millis_testing: 32734.375, usercpu_time_millis_training: 33828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9412, kb_relative_information_score: 346.0639, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.0203, scimark_benchmark: 1922.3298, usercpu_time_millis: 309593.75, usercpu_time_millis_testing: 150484.375, usercpu_time_millis_training: 159109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9412, kb_relative_information_score: 346.0639, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.0203, scimark_benchmark: 1280.301, usercpu_time_millis: 58250, usercpu_time_millis_testing: 28156.25, usercpu_time_millis_training: 30093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9412, kb_relative_information_score: 346.0639, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.0203, scimark_benchmark: 1678.5657, usercpu_time_millis: 81290, usercpu_time_millis_testing: 41130, usercpu_time_millis_training: 40160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9412, kb_relative_information_score: 346.0639, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.0203, scimark_benchmark: 1581.7417, usercpu_time_millis: 423850, usercpu_time_millis_testing: 183930, usercpu_time_millis_training: 239920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.9532, kappa: 0.3626, kb_relative_information_score: 171.7344, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9518, predictive_accuracy: 0.9547, prior_entropy: 0.2426, recall: 0.9547, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2129, root_relative_squared_error: 1.093, scimark_benchmark: 1379.6813, usercpu_time_millis: 110390, usercpu_time_millis_testing: 52780, usercpu_time_millis_training: 57610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.951, kappa: 0.3216, kb_relative_information_score: 132.9945, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9489, predictive_accuracy: 0.9534, prior_entropy: 0.2426, recall: 0.9534, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2159, root_relative_squared_error: 1.1085, scimark_benchmark: 1634.0674, usercpu_time_millis: 90090, usercpu_time_millis_testing: 43260, usercpu_time_millis_training: 46830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9412, kb_relative_information_score: 346.0639, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1987, root_relative_squared_error: 1.0203, scimark_benchmark: 1726.6098, usercpu_time_millis: 933190, usercpu_time_millis_testing: 201030, usercpu_time_millis_training: 732160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.9412, kb_relative_information_score: 22.2744, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1948, root_relative_squared_error: 1.0001, scimark_benchmark: 1972.1978, usercpu_time_millis: 1034578.125, usercpu_time_millis_testing: 310203.125, usercpu_time_millis_training: 724375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.9412, kb_relative_information_score: -130.4439, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1, scimark_benchmark: 422.0528, usercpu_time_millis: 1653670, usercpu_time_millis_testing: 334940, usercpu_time_millis_training: 1318730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.9505, kappa: 0.3338, kb_relative_information_score: 38.6094, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9495, predictive_accuracy: 0.9515, prior_entropy: 0.2426, recall: 0.9515, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0393, scimark_benchmark: 865.5956, usercpu_time_millis: 6131840, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 6131750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.9412, kb_relative_information_score: -138.1087, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1948, root_relative_squared_error: 1.0002, scimark_benchmark: 999.2603, usercpu_time_millis: 1284910, usercpu_time_millis_testing: 261170, usercpu_time_millis_training: 1023740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.9295, kappa: 0.3699, kb_relative_information_score: -1184.1612, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9622, predictive_accuracy: 0.9094, prior_entropy: 0.2426, recall: 0.9094, relative_absolute_error: 1.1861, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.301, root_relative_squared_error: 1.5458, scimark_benchmark: 1306.9578, usercpu_time_millis: 17660, usercpu_time_millis_testing: 9730, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.9602, kappa: 0.4386, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9584, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1251.7544, usercpu_time_millis: 16640, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 16060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.9598, kappa: 0.4282, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9579, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1452.1481, usercpu_time_millis: 22460, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 22120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.9392, kappa: 0.2602, kb_relative_information_score: -526.2115, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9444, predictive_accuracy: 0.9346, prior_entropy: 0.2426, recall: 0.9346, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2458, root_relative_squared_error: 1.262, scimark_benchmark: 1187.7775, usercpu_time_millis: 716580, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 716180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9621, kappa: 0.4232, kb_relative_information_score: 582.2196, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9628, predictive_accuracy: 0.9683, prior_entropy: 0.2426, recall: 0.9683, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.8697, scimark_benchmark: 1274.9462, usercpu_time_millis: 655100, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 654960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.9532, kappa: 0.4157, kb_relative_information_score: 49.566, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9561, predictive_accuracy: 0.9508, prior_entropy: 0.2426, recall: 0.9508, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2216, root_relative_squared_error: 1.1381, scimark_benchmark: 1345.395, usercpu_time_millis: 108550, usercpu_time_millis_testing: 103910, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.9463, kappa: 0.3264, kb_relative_information_score: -124.5855, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9492, predictive_accuracy: 0.9437, prior_entropy: 0.2426, recall: 0.9437, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.211, root_relative_squared_error: 1.0834, scimark_benchmark: 1327.6677, usercpu_time_millis: 48320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 48230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5713, f_measure: 0.9439, kappa: 0.0785, kb_relative_information_score: -114.696, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.9592, prior_entropy: 0.2426, recall: 0.9592, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1948, root_relative_squared_error: 1.0003, scimark_benchmark: 858.1754, usercpu_time_millis: 15110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 15010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9424, kappa: 0.0293, kb_relative_information_score: -879.3874, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9429, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.8774, scimark_benchmark: 1140.6096, usercpu_time_millis: 8830, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 8680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.9412, kb_relative_information_score: -25.3968, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1, scimark_benchmark: 1151.3817, usercpu_time_millis: 33180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 33070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.9452, kappa: 0.2963, kb_relative_information_score: -171.0968, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9467, predictive_accuracy: 0.9437, prior_entropy: 0.2426, recall: 0.9437, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2347, root_relative_squared_error: 1.2052, scimark_benchmark: 1164.3674, usercpu_time_millis: 24190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 24100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.9322, kappa: 0.3867, kb_relative_information_score: -1067.9416, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9634, predictive_accuracy: 0.9133, prior_entropy: 0.2426, recall: 0.9133, relative_absolute_error: 1.1353, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2945, root_relative_squared_error: 1.5123, scimark_benchmark: 1236.6884, usercpu_time_millis: 15220, usercpu_time_millis_testing: 7930, usercpu_time_millis_training: 7290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.9602, kappa: 0.4386, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9584, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1341.3172, usercpu_time_millis: 9840, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 9330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.9598, kappa: 0.4282, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9579, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1344.1935, usercpu_time_millis: 23560, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 23240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.9388, kappa: 0.2579, kb_relative_information_score: -536.5066, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.934, prior_entropy: 0.2426, recall: 0.934, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2448, root_relative_squared_error: 1.2569, scimark_benchmark: 1411.6089, usercpu_time_millis: 360000, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 359730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.9532, kappa: 0.4157, kb_relative_information_score: 49.566, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9561, predictive_accuracy: 0.9508, prior_entropy: 0.2426, recall: 0.9508, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2216, root_relative_squared_error: 1.1381, scimark_benchmark: 1091.1176, usercpu_time_millis: 146370, usercpu_time_millis_testing: 140920, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9621, kappa: 0.4232, kb_relative_information_score: 582.2196, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9628, predictive_accuracy: 0.9683, prior_entropy: 0.2426, recall: 0.9683, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.8697, scimark_benchmark: 1119.9414, usercpu_time_millis: 579620, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 579550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.9431, kappa: 0.2666, kb_relative_information_score: -166.8519, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9444, predictive_accuracy: 0.9417, prior_entropy: 0.2426, recall: 0.9417, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2156, root_relative_squared_error: 1.1069, scimark_benchmark: 1040.5656, usercpu_time_millis: 74500, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 74350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5713, f_measure: 0.9439, kappa: 0.0785, kb_relative_information_score: -114.696, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.9592, prior_entropy: 0.2426, recall: 0.9592, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1948, root_relative_squared_error: 1.0003, scimark_benchmark: 787.5156, usercpu_time_millis: 14750, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 14580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9421, kappa: 0.0277, kb_relative_information_score: -886.624, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9363, predictive_accuracy: 0.9599, prior_entropy: 0.2426, recall: 0.9599, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.172, root_relative_squared_error: 0.8834, scimark_benchmark: 648.678, usercpu_time_millis: 9310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 9160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.9412, kb_relative_information_score: -25.3968, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1, scimark_benchmark: 1062.8375, usercpu_time_millis: 40430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.9435, kappa: 0.2692, kb_relative_information_score: -209.8366, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9446, predictive_accuracy: 0.9424, prior_entropy: 0.2426, recall: 0.9424, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2374, root_relative_squared_error: 1.2193, scimark_benchmark: 968.6466, usercpu_time_millis: 25310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 25220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.956, kappa: 0.3387, kb_relative_information_score: 387.8089, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9538, predictive_accuracy: 0.9625, prior_entropy: 0.2426, recall: 0.9625, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.182, root_relative_squared_error: 0.9347, scimark_benchmark: 1055.5852, usercpu_time_millis: 5852120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5852020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.963, kappa: 0.4949, kb_relative_information_score: 428.9697, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.962, predictive_accuracy: 0.9644, prior_entropy: 0.2426, recall: 0.9644, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.9071, scimark_benchmark: 1385.1835, usercpu_time_millis: 5430130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5430020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.9386, kappa: 0.2726, kb_relative_information_score: -507.6512, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9457, predictive_accuracy: 0.9327, prior_entropy: 0.2426, recall: 0.9327, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.3132, scimark_benchmark: 1158.3196, usercpu_time_millis: 5993630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5993580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.958, kappa: 0.3826, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9559, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1395.0747, usercpu_time_millis: 4430680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4430620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.9482, kappa: 0.3795, kb_relative_information_score: -49.2667, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9539, predictive_accuracy: 0.9437, prior_entropy: 0.2426, recall: 0.9437, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.9752, scimark_benchmark: 1372.6432, usercpu_time_millis: 4297360, usercpu_time_millis_testing: 3730, usercpu_time_millis_training: 4293630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9621, kappa: 0.4232, kb_relative_information_score: 582.2196, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9628, predictive_accuracy: 0.9683, prior_entropy: 0.2426, recall: 0.9683, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.8697, scimark_benchmark: 1386.4798, usercpu_time_millis: 619670, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 619630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.9412, kb_relative_information_score: 22.2744, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1948, root_relative_squared_error: 1.0001, scimark_benchmark: 1094.7093, usercpu_time_millis: 913650, usercpu_time_millis_testing: 229770, usercpu_time_millis_training: 683880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.9489, kappa: 0.1778, kb_relative_information_score: -182.7286, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9479, predictive_accuracy: 0.9612, prior_entropy: 0.2426, recall: 0.9612, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.8763, scimark_benchmark: 1362.2814, usercpu_time_millis: 4359160, usercpu_time_millis_testing: 4190, usercpu_time_millis_training: 4354970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.9428, kappa: 0.4198, kb_relative_information_score: -374.794, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9619, predictive_accuracy: 0.9307, prior_entropy: 0.2426, recall: 0.9307, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1954, root_relative_squared_error: 1.0033, scimark_benchmark: 1505.6006, usercpu_time_millis: 195990, usercpu_time_millis_testing: 195990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.9492, kappa: 0.2068, kb_relative_information_score: -215.9723, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9455, predictive_accuracy: 0.9592, prior_entropy: 0.2426, recall: 0.9592, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.176, root_relative_squared_error: 0.9035, scimark_benchmark: 1152.5856, usercpu_time_millis: 4607590, usercpu_time_millis_testing: 6000, usercpu_time_millis_training: 4601590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.9545, kappa: 0.3808, kb_relative_information_score: 210.4743, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9532, predictive_accuracy: 0.956, prior_entropy: 0.2426, recall: 0.956, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2098, root_relative_squared_error: 1.0773, scimark_benchmark: 1286.8449, usercpu_time_millis: 5022860, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5022800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.9438, kappa: 0.0956, kb_relative_information_score: -234.3682, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9369, predictive_accuracy: 0.9573, prior_entropy: 0.2426, recall: 0.9573, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1963, root_relative_squared_error: 1.0081, scimark_benchmark: 1303.4587, usercpu_time_millis: 4247880, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4247830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.9412, kb_relative_information_score: -25.3968, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1, scimark_benchmark: 1190.2982, usercpu_time_millis: 4213600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4213560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9467, kappa: 0.1312, kb_relative_information_score: -514.4457, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9452, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.8541, scimark_benchmark: 1273.0416, usercpu_time_millis: 4372480, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4372400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9321, kappa: 0.3949, kb_relative_information_score: -1102.7462, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9649, predictive_accuracy: 0.9126, prior_entropy: 0.2426, recall: 0.9126, relative_absolute_error: 1.1399, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2937, root_relative_squared_error: 1.5083, scimark_benchmark: 1404.5774, usercpu_time_millis: 4319970, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 4319800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.9486, kappa: 0.2777, kb_relative_information_score: 88.2888, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9457, predictive_accuracy: 0.9521, prior_entropy: 0.2426, recall: 0.9521, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2187, root_relative_squared_error: 1.123, scimark_benchmark: 1296.0173, usercpu_time_millis: 4631700, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 4630010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.9509, kappa: 0.3373, kb_relative_information_score: 55.5457, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9498, predictive_accuracy: 0.9521, prior_entropy: 0.2426, recall: 0.9521, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.214, root_relative_squared_error: 1.0988, scimark_benchmark: 1376.0888, usercpu_time_millis: 4225340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4225300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9585, kappa: 0.4016, kb_relative_information_score: -1393.0964, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9563, predictive_accuracy: 0.9625, prior_entropy: 0.2426, recall: 0.9625, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.869, scimark_benchmark: 1383.6685, usercpu_time_millis: 289740, usercpu_time_millis_testing: 289740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9537, kappa: 0.3593, kb_relative_information_score: -1035.6941, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9518, predictive_accuracy: 0.956, prior_entropy: 0.2426, recall: 0.956, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.8864, scimark_benchmark: 1168.9343, usercpu_time_millis: 409490, usercpu_time_millis_testing: 409490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.9602, kappa: 0.4386, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9584, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1297.908, usercpu_time_millis: 4910, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 4310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.9414, kappa: 0.2478, kb_relative_information_score: -405.5631, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.943, predictive_accuracy: 0.9398, prior_entropy: 0.2426, recall: 0.9398, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.238, root_relative_squared_error: 1.2222, scimark_benchmark: 956.5145, usercpu_time_millis: 538860, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 538560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.9598, kappa: 0.4282, kb_relative_information_score: 423.5436, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9579, predictive_accuracy: 0.9631, prior_entropy: 0.2426, recall: 0.9631, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.9863, scimark_benchmark: 1159.6525, usercpu_time_millis: 19390, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 19040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.9405, kappa: 0.2429, kb_relative_information_score: -260.6191, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9427, predictive_accuracy: 0.9385, prior_entropy: 0.2426, recall: 0.9385, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2209, root_relative_squared_error: 1.1344, scimark_benchmark: 1437.3178, usercpu_time_millis: 32740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 32710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.9396, kappa: 0.4061, kb_relative_information_score: -699.9128, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9619, predictive_accuracy: 0.9256, prior_entropy: 0.2426, recall: 0.9256, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2728, root_relative_squared_error: 1.401, scimark_benchmark: 978.463, usercpu_time_millis: 15660, usercpu_time_millis_testing: 12100, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.9412, kb_relative_information_score: -25.3968, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1, scimark_benchmark: 1275.5625, usercpu_time_millis: 21650, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 21610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.9532, kappa: 0.4157, kb_relative_information_score: 49.566, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9561, predictive_accuracy: 0.9508, prior_entropy: 0.2426, recall: 0.9508, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2216, root_relative_squared_error: 1.1381, scimark_benchmark: 849.5443, usercpu_time_millis: 171860, usercpu_time_millis_testing: 171860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9428, kappa: 0.031, kb_relative_information_score: -851.5766, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9627, predictive_accuracy: 0.9612, prior_entropy: 0.2426, recall: 0.9612, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.874, scimark_benchmark: 960.2081, usercpu_time_millis: 4060, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.9412, kb_relative_information_score: 5.2405, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9605, prior_entropy: 0.2426, recall: 0.9605, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.1947, root_relative_squared_error: 1, scimark_benchmark: 1003.3717, usercpu_time_millis: 8010, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.943, kappa: 0.2826, kb_relative_information_score: -267.9464, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0764, number_of_instances: 1545, precision: 0.9458, predictive_accuracy: 0.9405, prior_entropy: 0.2426, recall: 0.9405, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.1947, root_mean_squared_error: 0.2415, root_relative_squared_error: 1.2403, scimark_benchmark: 1127.2089, usercpu_time_millis: 16760, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 16720,

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