Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -721.7534, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1262.97, usercpu_time_millis: 72.385, usercpu_time_millis_testing: 4.218, usercpu_time_millis_training: 68.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -669.0093, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8602, scimark_benchmark: 1251.5366, usercpu_time_millis: 135.868, usercpu_time_millis_testing: 5.636, usercpu_time_millis_training: 130.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.9063, kb_relative_information_score: -1091.6772, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9338, scimark_benchmark: 1252.116, usercpu_time_millis: 15.002, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 13.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9224, kappa: 0.1965, kb_relative_information_score: -693.8554, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9388, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1242.517, usercpu_time_millis: 119.248, usercpu_time_millis_testing: 5.496, usercpu_time_millis_training: 113.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -809.302, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8871, scimark_benchmark: 1259.7375, usercpu_time_millis: 46.59, usercpu_time_millis_testing: 4.154, usercpu_time_millis_training: 42.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.9063, kb_relative_information_score: -1144.2657, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9234, scimark_benchmark: 1256.5907, usercpu_time_millis: 54.06, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 50.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -777.6133, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8783, scimark_benchmark: 1264.2789, usercpu_time_millis: 36.981, usercpu_time_millis_testing: 3.444, usercpu_time_millis_training: 33.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -856.1, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8836, scimark_benchmark: 1250.1768, usercpu_time_millis: 47.739, usercpu_time_millis_testing: 3.535, usercpu_time_millis_training: 44.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9063, kb_relative_information_score: -1317.3778, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9545, scimark_benchmark: 1253.1275, usercpu_time_millis: 22.098, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 19.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -891.7626, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.8867, scimark_benchmark: 1247.682, usercpu_time_millis: 91.272, usercpu_time_millis_testing: 5.745, usercpu_time_millis_training: 85.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.9063, kb_relative_information_score: -1018.4933, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9422, scimark_benchmark: 1261.2047, usercpu_time_millis: 14.438, usercpu_time_millis_testing: 1.784, usercpu_time_millis_training: 12.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -915.0415, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8966, scimark_benchmark: 1241.8478, usercpu_time_millis: 14.629, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 13.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -907.9312, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8912, scimark_benchmark: 1252.7889, usercpu_time_millis: 8.859, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 8.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -959.3972, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.8942, scimark_benchmark: 1247.6633, usercpu_time_millis: 3.081, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 2.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -929.6654, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.89, scimark_benchmark: 1262.1649, usercpu_time_millis: 65.345, usercpu_time_millis_testing: 4.006, usercpu_time_millis_training: 61.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9063, kb_relative_information_score: -1162.9813, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.934, scimark_benchmark: 1266.5393, usercpu_time_millis: 34.391, usercpu_time_millis_testing: 2.884, usercpu_time_millis_training: 31.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9278, kappa: 0.2639, kb_relative_information_score: -622.8294, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8429, scimark_benchmark: 1261.1004, usercpu_time_millis: 104.466, usercpu_time_millis_testing: 4.302, usercpu_time_millis_training: 100.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -691.3373, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.862, scimark_benchmark: 1264.4553, usercpu_time_millis: 43.579, usercpu_time_millis_testing: 3.001, usercpu_time_millis_training: 40.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -787.8805, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1238.9354, usercpu_time_millis: 94.588, usercpu_time_millis_testing: 5.194, usercpu_time_millis_training: 89.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -676.7026, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8747, scimark_benchmark: 1254.2058, usercpu_time_millis: 16.474, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 14.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -689.7169, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8538, scimark_benchmark: 1236.3129, usercpu_time_millis: 25.425, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 23.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -687.3452, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1267.8944, usercpu_time_millis: 82.525, usercpu_time_millis_testing: 5.635, usercpu_time_millis_training: 76.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -677.6618, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8701, scimark_benchmark: 1245.1417, usercpu_time_millis: 76.892, usercpu_time_millis_testing: 6.471, usercpu_time_millis_training: 70.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9271, kappa: 0.2552, kb_relative_information_score: -596.6922, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1248.9158, usercpu_time_millis: 78.234, usercpu_time_millis_testing: 4.328, usercpu_time_millis_training: 73.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -718.8566, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8834, scimark_benchmark: 1267.2932, usercpu_time_millis: 71.587, usercpu_time_millis_testing: 7.08, usercpu_time_millis_training: 64.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -748.1924, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8794, scimark_benchmark: 1245.0495, usercpu_time_millis: 6.964, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 6.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.9063, kb_relative_information_score: -1130.5653, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9301, scimark_benchmark: 1243.4929, usercpu_time_millis: 5.767, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 5.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -639.7597, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1243.4747, usercpu_time_millis: 119.814, usercpu_time_millis_testing: 7.405, usercpu_time_millis_training: 112.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -721.8512, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1239.6955, usercpu_time_millis: 38.933, usercpu_time_millis_testing: 2.62, usercpu_time_millis_training: 36.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.9063, kb_relative_information_score: -1109.8862, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9212, scimark_benchmark: 1262.9477, usercpu_time_millis: 38.697, usercpu_time_millis_testing: 2.691, usercpu_time_millis_training: 36.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9171, kappa: 0.1305, kb_relative_information_score: -734.6582, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9401, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1249.3114, usercpu_time_millis: 31.854, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 30.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -564.8539, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8464, scimark_benchmark: 1261.2042, usercpu_time_millis: 26.3, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 25.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -624.3874, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1248.4063, usercpu_time_millis: 124.205, usercpu_time_millis_testing: 6.311, usercpu_time_millis_training: 117.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -695.7535, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8642, scimark_benchmark: 1263.2734, usercpu_time_millis: 21.418, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 20.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 2.801, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1246.9398, usercpu_time_millis: 17.335, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 15.506,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -774.4172, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1231.6099, usercpu_time_millis: 64.722, usercpu_time_millis_testing: 4.047, usercpu_time_millis_training: 60.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -709.2189, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8673, scimark_benchmark: 1260.48, usercpu_time_millis: 17.432, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 15.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -974.1427, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9037, scimark_benchmark: 1249.0714, usercpu_time_millis: 64.092, usercpu_time_millis_testing: 5.338, usercpu_time_millis_training: 58.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.9063, kb_relative_information_score: -1081.4171, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9227, scimark_benchmark: 1259.2411, usercpu_time_millis: 33.234, usercpu_time_millis_testing: 2.464, usercpu_time_millis_training: 30.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -698.2647, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853, scimark_benchmark: 1258.7641, usercpu_time_millis: 9.067, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 8.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -791.5021, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8857, scimark_benchmark: 1258.8322, usercpu_time_millis: 43.281, usercpu_time_millis_testing: 4.212, usercpu_time_millis_training: 39.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -664.6511, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1265.5181, usercpu_time_millis: 38.817, usercpu_time_millis_testing: 3.994, usercpu_time_millis_training: 34.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.9063, kb_relative_information_score: -1068.6251, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9227, scimark_benchmark: 1242.1453, usercpu_time_millis: 36.357, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 33.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -701.5549, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1258.7237, usercpu_time_millis: 36.152, usercpu_time_millis_testing: 3.201, usercpu_time_millis_training: 32.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9063, kb_relative_information_score: -1181.0738, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.953, scimark_benchmark: 1259.8152, usercpu_time_millis: 35.656, usercpu_time_millis_testing: 2.796, usercpu_time_millis_training: 32.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -673.2898, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1243.2333, usercpu_time_millis: 26.987, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 25.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -555.9057, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.8422, scimark_benchmark: 1250.7206, usercpu_time_millis: 220.344, usercpu_time_millis_testing: 9.202, usercpu_time_millis_training: 211.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -664.3204, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1257.8521, usercpu_time_millis: 82.038, usercpu_time_millis_testing: 7.766, usercpu_time_millis_training: 74.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -663.3644, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1250.9748, usercpu_time_millis: 21.975, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 20.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -725.4116, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1265.9883, usercpu_time_millis: 13.577, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 12.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.9063, kb_relative_information_score: -1260.3163, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9458, scimark_benchmark: 1264.8515, usercpu_time_millis: 12.219, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 11.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -856.3845, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.882, scimark_benchmark: 1249.5574, usercpu_time_millis: 8.979, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 8.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -810.905, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.8784, scimark_benchmark: 1261.8262, usercpu_time_millis: 51.711, usercpu_time_millis_testing: 3.138, usercpu_time_millis_training: 48.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -651.3319, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1245.0286, usercpu_time_millis: 44.11, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 40.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.9063, kb_relative_information_score: -1014.5276, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9282, scimark_benchmark: 1251.7695, usercpu_time_millis: 31.334, usercpu_time_millis_testing: 3.227, usercpu_time_millis_training: 28.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -792.3316, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8856, scimark_benchmark: 1255.8885, usercpu_time_millis: 71.162, usercpu_time_millis_testing: 5.952, usercpu_time_millis_training: 65.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -748.1489, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8796, scimark_benchmark: 1256.4776, usercpu_time_millis: 24.287, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 21.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -677.2057, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8552, scimark_benchmark: 1263.927, usercpu_time_millis: 70.653, usercpu_time_millis_testing: 3.932, usercpu_time_millis_training: 66.721,
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: 0.8917, f_measure: 0.9063, kb_relative_information_score: -972.6031, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9091, scimark_benchmark: 1240.5024, usercpu_time_millis: 16.225, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 14.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.9063, kb_relative_information_score: -1013.2112, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.9594, scimark_benchmark: 1237.0327, usercpu_time_millis: 11.151, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 10.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9063, kb_relative_information_score: -1002.0845, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9257, scimark_benchmark: 1249.6776, usercpu_time_millis: 11.253, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 10.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -567.6932, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1250.2565, usercpu_time_millis: 142.981, usercpu_time_millis_testing: 8.268, usercpu_time_millis_training: 134.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.9063, kb_relative_information_score: -1173.7419, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9467, scimark_benchmark: 1251.065, usercpu_time_millis: 4.378, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 3.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -653.5535, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1263.0439, usercpu_time_millis: 50.064, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 47.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9063, kb_relative_information_score: -1052.0801, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9269, scimark_benchmark: 1256.5028, usercpu_time_millis: 38.447, usercpu_time_millis_testing: 4.133, usercpu_time_millis_training: 34.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -589.0645, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1263.1636, usercpu_time_millis: 114.954, usercpu_time_millis_testing: 5.451, usercpu_time_millis_training: 109.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -903.5008, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8874, scimark_benchmark: 1248.2876, usercpu_time_millis: 17.917, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 17.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -917.0694, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8876, scimark_benchmark: 1241.8506, usercpu_time_millis: 10.96, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 10.127,

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