OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8641, kappa: 0.6711, kb_relative_information_score: 17352.8552, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8665, predictive_accuracy: 0.8627, prior_entropy: 0.863, recall: 0.8627, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6885, scimark_benchmark: 1371.2608, usercpu_time_millis: 90.27, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 89.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29266.8401, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1346.6645, usercpu_time_millis: 79.3, usercpu_time_millis_testing: 2.27, usercpu_time_millis_training: 77.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29447.7953, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3594, scimark_benchmark: 1849.7595, usercpu_time_millis: 755.058, usercpu_time_millis_testing: 5.374, usercpu_time_millis_training: 749.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9388, kappa: 0.8486, kb_relative_information_score: 25470.2302, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4745, scimark_benchmark: 1336.0649, usercpu_time_millis: 198.83, usercpu_time_millis_testing: 4.74, usercpu_time_millis_training: 194.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28448.5039, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3946, scimark_benchmark: 1320.2088, usercpu_time_millis: 1009.5, usercpu_time_millis_testing: 11.33, usercpu_time_millis_training: 998.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9601, kappa: 0.902, kb_relative_information_score: 28518.426, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1350.7809, usercpu_time_millis: 115.31, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 114.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8635, kappa: 0.6668, kb_relative_information_score: 16622.2627, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8641, predictive_accuracy: 0.863, prior_entropy: 0.863, recall: 0.863, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.7015, scimark_benchmark: 1294.7615, usercpu_time_millis: 364.72, usercpu_time_millis_testing: 9.86, usercpu_time_millis_training: 354.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9401, kappa: 0.8518, kb_relative_information_score: 25683.1821, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9402, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4693, scimark_benchmark: 1841.1522, usercpu_time_millis: 265.262, usercpu_time_millis_testing: 3.753, usercpu_time_millis_training: 261.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29210.2594, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1426.6099, usercpu_time_millis: 1722.68, usercpu_time_millis_testing: 25.46, usercpu_time_millis_training: 1697.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 28825.6136, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3886, scimark_benchmark: 1316.555, usercpu_time_millis: 7975.43, usercpu_time_millis_testing: 27.47, usercpu_time_millis_training: 7947.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0536, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1309.8313, usercpu_time_millis: 36.01, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 34.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9596, kappa: 0.9007, kb_relative_information_score: 27824.116, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3976, scimark_benchmark: 1315.8132, usercpu_time_millis: 622.53, usercpu_time_millis_testing: 24.49, usercpu_time_millis_training: 598.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9173, kappa: 0.7921, kb_relative_information_score: 23919.0504, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9202, prior_entropy: 0.863, recall: 0.9202, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.5185, scimark_benchmark: 1306.2075, usercpu_time_millis: 1586.75, usercpu_time_millis_testing: 28.1, usercpu_time_millis_training: 1558.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9592, kappa: 0.9, kb_relative_information_score: 28523.6891, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3952, scimark_benchmark: 1361.5288, usercpu_time_millis: 3107.1, usercpu_time_millis_testing: 21.09, usercpu_time_millis_training: 3086.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28568.4356, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1271.7727, usercpu_time_millis: 3609.84, usercpu_time_millis_testing: 32.01, usercpu_time_millis_training: 3577.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9216, kappa: 0.8035, kb_relative_information_score: 24706.4099, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9248, predictive_accuracy: 0.9238, prior_entropy: 0.863, recall: 0.9238, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5142, scimark_benchmark: 1304.2958, usercpu_time_millis: 3668.7, usercpu_time_millis_testing: 28, usercpu_time_millis_training: 3640.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28659.4244, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3855, scimark_benchmark: 1298.262, usercpu_time_millis: 2214.79, usercpu_time_millis_testing: 33.2, usercpu_time_millis_training: 2181.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.057, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1373.6854, usercpu_time_millis: 15.06, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 13.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29715.3079, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3572, scimark_benchmark: 1278.7748, usercpu_time_millis: 5526.44, usercpu_time_millis_testing: 14.22, usercpu_time_millis_training: 5512.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9053, kappa: 0.7654, kb_relative_information_score: 22126.2894, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9051, predictive_accuracy: 0.9064, prior_entropy: 0.863, recall: 0.9064, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5793, scimark_benchmark: 1338.8038, usercpu_time_millis: 1633.47, usercpu_time_millis_testing: 17.88, usercpu_time_millis_training: 1615.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.939, kappa: 0.8494, kb_relative_information_score: 26286.7857, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4719, scimark_benchmark: 1334.2803, usercpu_time_millis: 23.84, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 23.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.916, kappa: 0.7887, kb_relative_information_score: 23383.8439, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5262, scimark_benchmark: 1337.0869, usercpu_time_millis: 400.08, usercpu_time_millis_testing: 14.95, usercpu_time_millis_training: 385.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8583, kappa: 0.6521, kb_relative_information_score: 15493.1688, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7377, scimark_benchmark: 1302.3026, usercpu_time_millis: 45.36, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 43.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8578, kappa: 0.651, kb_relative_information_score: 15571.0993, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.858, prior_entropy: 0.863, recall: 0.858, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7379, scimark_benchmark: 1291.1945, usercpu_time_millis: 52.17, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 50.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9341, kappa: 0.8365, kb_relative_information_score: 25376.4549, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943, scimark_benchmark: 1314.9889, usercpu_time_millis: 682.74, usercpu_time_millis_testing: 4.28, usercpu_time_millis_training: 678.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29140.6808, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748, scimark_benchmark: 1323.5274, usercpu_time_millis: 159.29, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 158.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 28894.9741, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1288.96, usercpu_time_millis: 693.11, usercpu_time_millis_testing: 34.02, usercpu_time_millis_training: 659.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9326, kappa: 0.8323, kb_relative_information_score: 20173.4762, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9339, prior_entropy: 0.863, recall: 0.9339, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5659, scimark_benchmark: 1311.9612, usercpu_time_millis: 250.42, usercpu_time_millis_testing: 18.03, usercpu_time_millis_training: 232.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9339, kappa: 0.836, kb_relative_information_score: 25280.204, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4898, scimark_benchmark: 1348.5634, usercpu_time_millis: 38.11, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 37.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9349, kappa: 0.8387, kb_relative_information_score: 25757.5464, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4855, scimark_benchmark: 1372.6484, usercpu_time_millis: 2372.2, usercpu_time_millis_testing: 14.69, usercpu_time_millis_training: 2357.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9195, kappa: 0.7979, kb_relative_information_score: 24447.6219, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5114, scimark_benchmark: 1331.5482, usercpu_time_millis: 1642.53, usercpu_time_millis_testing: 22.95, usercpu_time_millis_training: 1619.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9162, kappa: 0.7894, kb_relative_information_score: 23914.7635, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5257, scimark_benchmark: 1325.884, usercpu_time_millis: 218.44, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 216.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9364, kappa: 0.8424, kb_relative_information_score: 25884.1955, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.481, scimark_benchmark: 1399.21, usercpu_time_millis: 1865.9, usercpu_time_millis_testing: 9.94, usercpu_time_millis_training: 1855.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29742.1483, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3554, scimark_benchmark: 1348.9132, usercpu_time_millis: 135.39, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 134.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 29051.2989, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3794, scimark_benchmark: 1347.2592, usercpu_time_millis: 2336.41, usercpu_time_millis_testing: 7.17, usercpu_time_millis_training: 2329.24,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29729.4108, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3515, scimark_benchmark: 1367.3688, usercpu_time_millis: 5379.21, usercpu_time_millis_testing: 34.95, usercpu_time_millis_training: 5344.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9384, kappa: 0.8473, kb_relative_information_score: 25900.1838, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4785, scimark_benchmark: 1322.3216, usercpu_time_millis: 2513.27, usercpu_time_millis_testing: 31.9, usercpu_time_millis_training: 2481.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9154, kappa: 0.7872, kb_relative_information_score: 24368.6512, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5258, scimark_benchmark: 1133.9892, usercpu_time_millis: 2566.67, usercpu_time_millis_testing: 13.52, usercpu_time_millis_training: 2553.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9522, kappa: 0.8826, kb_relative_information_score: 27179.4927, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, scimark_benchmark: 1335.6727, usercpu_time_millis: 537.06, usercpu_time_millis_testing: 9.79, usercpu_time_millis_training: 527.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9023, kb_relative_information_score: 27686.1343, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3964, scimark_benchmark: 1278.821, usercpu_time_millis: 501, usercpu_time_millis_testing: 19.6, usercpu_time_millis_training: 481.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -11.3054, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1334.8008, usercpu_time_millis: 4.41, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29379.6653, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3639, scimark_benchmark: 1343.8054, usercpu_time_millis: 3429.22, usercpu_time_millis_testing: 18.35, usercpu_time_millis_training: 3410.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29185.2373, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646, scimark_benchmark: 1370.4262, usercpu_time_millis: 2094.44, usercpu_time_millis_testing: 47.85, usercpu_time_millis_training: 2046.59,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28928.2824, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1312.6156, usercpu_time_millis: 4910.61, usercpu_time_millis_testing: 42.8, usercpu_time_millis_training: 4867.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.1705, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1403.2918, usercpu_time_millis: 55.91, usercpu_time_millis_testing: 5.93, usercpu_time_millis_training: 49.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27816.7414, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4159, scimark_benchmark: 1333.0314, usercpu_time_millis: 653.54, usercpu_time_millis_testing: 6.58, usercpu_time_millis_training: 646.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9168, kappa: 0.7908, kb_relative_information_score: 24096.2403, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5239, scimark_benchmark: 1320.3922, usercpu_time_millis: 190.28, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 189.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9512, kappa: 0.8804, kb_relative_information_score: 27317.8064, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4325, scimark_benchmark: 1374.2643, usercpu_time_millis: 1571.32, usercpu_time_millis_testing: 11.23, usercpu_time_millis_training: 1560.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9285, kappa: 0.8216, kb_relative_information_score: 25011.5189, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5011, scimark_benchmark: 1369.5509, usercpu_time_millis: 840.95, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 836.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9677, kappa: 0.9206, kb_relative_information_score: 29591.6532, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3542, scimark_benchmark: 1328.0562, usercpu_time_millis: 2558.75, usercpu_time_millis_testing: 23.45, usercpu_time_millis_training: 2535.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.1459, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1340.7725, usercpu_time_millis: 18.75, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 18.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 28515.8378, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3882, scimark_benchmark: 1335.8949, usercpu_time_millis: 1556.53, usercpu_time_millis_testing: 46.54, usercpu_time_millis_training: 1509.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8643, kappa: 0.6697, kb_relative_information_score: 17058.3733, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8654, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6912, scimark_benchmark: 1393.822, usercpu_time_millis: 90.15, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 88.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9533, kappa: 0.8852, kb_relative_information_score: 27198.2466, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4266, scimark_benchmark: 1370.5896, usercpu_time_millis: 303.88, usercpu_time_millis_testing: 7.09, usercpu_time_millis_training: 296.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28302.6126, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3957, scimark_benchmark: 1224.1473, usercpu_time_millis: 1888.84, usercpu_time_millis_testing: 44.89, usercpu_time_millis_training: 1843.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 29193.8659, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3625, scimark_benchmark: 1295.757, usercpu_time_millis: 1746.57, usercpu_time_millis_testing: 52.72, usercpu_time_millis_training: 1693.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9694, kappa: 0.9248, kb_relative_information_score: 29989.2192, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.342, scimark_benchmark: 1289.9918, usercpu_time_millis: 1515.59, usercpu_time_millis_testing: 14.66, usercpu_time_millis_training: 1500.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9631, kappa: 0.909, kb_relative_information_score: 27698.1825, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3865, scimark_benchmark: 1330.1448, usercpu_time_millis: 677.48, usercpu_time_millis_testing: 40.02, usercpu_time_millis_training: 637.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.858, kappa: 0.6541, kb_relative_information_score: 15537.3528, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7397, scimark_benchmark: 1284.9032, usercpu_time_millis: 80.72, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 78.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9491, kappa: 0.875, kb_relative_information_score: 26889.1643, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4411, scimark_benchmark: 1334.5743, usercpu_time_millis: 93.14, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 91.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9232, kappa: 0.8077, kb_relative_information_score: 24841.2901, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5116, scimark_benchmark: 1264.819, usercpu_time_millis: 780.64, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 776.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29371.5674, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3668, scimark_benchmark: 1322.4296, usercpu_time_millis: 418.37, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 415.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.938, kappa: 0.8468, kb_relative_information_score: 26133.1805, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4756, scimark_benchmark: 1739.942, usercpu_time_millis: 4021.638, usercpu_time_millis_testing: 12.74, usercpu_time_millis_training: 4008.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29341.0892, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3666, scimark_benchmark: 1743.2201, usercpu_time_millis: 2307.457, usercpu_time_millis_testing: 10.927, usercpu_time_millis_training: 2296.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 30011.3067, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3521, scimark_benchmark: 1832.1165, usercpu_time_millis: 1589.229, usercpu_time_millis_testing: 4.415, usercpu_time_millis_training: 1584.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28725.9087, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, scimark_benchmark: 1691.4195, usercpu_time_millis: 771.129, usercpu_time_millis_testing: 6.768, usercpu_time_millis_training: 764.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9559, kappa: 0.8914, kb_relative_information_score: 26813.0379, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4198, scimark_benchmark: 1816.3826, usercpu_time_millis: 452.452, usercpu_time_millis_testing: 15.89, usercpu_time_millis_training: 436.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9133, kappa: 0.7822, kb_relative_information_score: 23934.3314, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9175, predictive_accuracy: 0.9161, prior_entropy: 0.863, recall: 0.9161, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.5399, scimark_benchmark: 1810.0623, usercpu_time_millis: 3328.306, usercpu_time_millis_testing: 13.117, usercpu_time_millis_training: 3315.189,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs