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: 0.4997, f_measure: 0.9063, kb_relative_information_score: -0.7663, mean_absolute_error: 0.1182, 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: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1202.8854, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9274, kappa: 0.2796, kb_relative_information_score: -625.2971, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1192.0447, usercpu_time_millis: 8.028, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 7.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.9312, kappa: 0.3276, kb_relative_information_score: -770.9719, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9307, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8709, scimark_benchmark: 1199.9617, usercpu_time_millis: 306.872, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 305.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9113, kappa: 0.0647, kb_relative_information_score: -1144.7614, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9218, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.897, scimark_benchmark: 1203.0943, usercpu_time_millis: 17.508, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 16.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -673.6862, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1198.3777, usercpu_time_millis: 12.793, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 12.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1099.0122, mean_absolute_error: 0.1025, 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: 0.8642, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8998, scimark_benchmark: 1199.9731, usercpu_time_millis: 20.239, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 19.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -855.2902, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1192.6781, usercpu_time_millis: 35.999, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 34.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -889.3151, mean_absolute_error: 0.0972, 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: 0.8195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8768, scimark_benchmark: 1197.1935, usercpu_time_millis: 86.947, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 85.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.9063, kb_relative_information_score: 3.8714, mean_absolute_error: 0.1183, 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: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1196.5462, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.9067, kappa: 0.0091, kb_relative_information_score: -1309.7688, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8938, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9606, scimark_benchmark: 1198.3265, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.9063, kb_relative_information_score: -1592.2862, 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: 0.9222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9519, scimark_benchmark: 1199.0451, usercpu_time_millis: 98.712, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 97.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -907.0497, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8708, scimark_benchmark: 1199.5163, usercpu_time_millis: 72.716, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 71.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9063, kb_relative_information_score: -1461.4934, mean_absolute_error: 0.1092, 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: 0.9211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9491, scimark_benchmark: 1198.8289, usercpu_time_millis: 22.687, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 21.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -921.9895, mean_absolute_error: 0.101, 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: 0.8519, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.218, root_relative_squared_error: 0.8965, scimark_benchmark: 1199.6026, usercpu_time_millis: 16.234, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 14.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.9063, kb_relative_information_score: -1506.682, mean_absolute_error: 0.1085, 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: 0.9149, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9447, scimark_benchmark: 1198.8226, usercpu_time_millis: 108.352, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 107.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1134.2461, mean_absolute_error: 0.1028, 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: 0.867, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9144, scimark_benchmark: 1199.346, usercpu_time_millis: 13.172, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 12.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -795.0985, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8713, scimark_benchmark: 1199.642, usercpu_time_millis: 27.049, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 26.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9063, kb_relative_information_score: -1189.5079, 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: 0.924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9513, scimark_benchmark: 1197.2852, usercpu_time_millis: 13.502, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 13.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.9063, kb_relative_information_score: -1214.7189, mean_absolute_error: 0.1042, 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: 0.8783, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.9133, scimark_benchmark: 1203.799, usercpu_time_millis: 139.305, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 138.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9063, kb_relative_information_score: -1249.1753, mean_absolute_error: 0.1104, 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: 0.9307, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9519, scimark_benchmark: 1200.2411, usercpu_time_millis: 6.805, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 6.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 1.9891, mean_absolute_error: 0.1183, 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: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1198.7925, usercpu_time_millis: 1.894, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 1.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.9063, kb_relative_information_score: -1351.9628, mean_absolute_error: 0.1106, 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: 0.9327, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9543, scimark_benchmark: 1204.1177, usercpu_time_millis: 5.248, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 4.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 3.925, mean_absolute_error: 0.1183, 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: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1199.8296, usercpu_time_millis: 4.988, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 4.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9216, kappa: 0.187, kb_relative_information_score: -818.3124, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.861, scimark_benchmark: 1204.9561, usercpu_time_millis: 38.305, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 37.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9214, kappa: 0.19, kb_relative_information_score: -806.6401, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9303, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8654, scimark_benchmark: 1199.8486, usercpu_time_millis: 43.802, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 43.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 3.1535, mean_absolute_error: 0.1183, 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: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1204.4978, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9063, kb_relative_information_score: -1208.0049, mean_absolute_error: 0.1044, 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: 0.8799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9177, scimark_benchmark: 1197.5338, usercpu_time_millis: 17.057, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 16.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -630.3244, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8487, scimark_benchmark: 1200.5082, usercpu_time_millis: 25.638, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 24.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -1016.111, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8848, scimark_benchmark: 1199.6218, usercpu_time_millis: 28.813, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 27.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.9063, kb_relative_information_score: -974.5678, mean_absolute_error: 0.1118, 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: 0.9425, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9568, scimark_benchmark: 1204.0028, usercpu_time_millis: 7.418, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 6.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -812.987, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1199.1847, usercpu_time_millis: 55.576, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 54.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.9063, kb_relative_information_score: -1481.329, mean_absolute_error: 0.1091, 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: 0.92, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9494, scimark_benchmark: 1199.133, usercpu_time_millis: 32.932, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 32.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.9063, kb_relative_information_score: -1341.774, mean_absolute_error: 0.1114, 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: 0.9396, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.965, scimark_benchmark: 1199.2587, usercpu_time_millis: 4.471, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9249, kappa: 0.2374, kb_relative_information_score: -710.9201, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9301, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1200.4607, usercpu_time_millis: 37.174, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 36.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.9063, kb_relative_information_score: -1399.3914, mean_absolute_error: 0.1087, 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: 0.9168, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9412, scimark_benchmark: 1200.515, usercpu_time_millis: 14.652, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 14.284,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -1124.5093, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9058, scimark_benchmark: 1200.8325, usercpu_time_millis: 2.47, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.9195, kappa: 0.1745, kb_relative_information_score: -844.1507, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9229, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1199.1791, usercpu_time_millis: 2.48, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 2.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -939.4512, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8891, scimark_benchmark: 1217.0946, usercpu_time_millis: 76.053, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 74.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9204, kappa: 0.2023, kb_relative_information_score: -804.8839, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9176, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8829, scimark_benchmark: 1200.4524, usercpu_time_millis: 137.581, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 136.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9148, kappa: 0.1287, kb_relative_information_score: -875.3151, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9107, predictive_accuracy: 0.9357, prior_entropy: 0.3411, recall: 0.9357, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8899, scimark_benchmark: 1203.5684, usercpu_time_millis: 166.848, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 165.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.9063, kb_relative_information_score: -1075.4515, 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: 0.9458, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9629, scimark_benchmark: 1238.6527, usercpu_time_millis: 2.685, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.9063, kb_relative_information_score: -1598.2647, mean_absolute_error: 0.1091, 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: 0.9199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9504, scimark_benchmark: 1201.5611, usercpu_time_millis: 74.403, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 73.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -835.7258, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1204.8031, usercpu_time_millis: 42.337, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 41.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1059.2614, mean_absolute_error: 0.1007, 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: 0.8487, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1198.5792, usercpu_time_millis: 89.197, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 88.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1870.109, mean_absolute_error: 0.1105, 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: 0.932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9709, scimark_benchmark: 1201.6, usercpu_time_millis: 45.968, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 45.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1006.2845, mean_absolute_error: 0.1005, 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: 0.8471, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9002, scimark_benchmark: 1202.886, usercpu_time_millis: 1.561, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9063, kb_relative_information_score: -1088.8881, mean_absolute_error: 0.1086, 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: 0.9155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9408, scimark_benchmark: 1204.4495, usercpu_time_millis: 11.119, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 10.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.9063, kb_relative_information_score: -1256.062, mean_absolute_error: 0.1119, 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: 0.9437, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9648, scimark_benchmark: 1199.8962, usercpu_time_millis: 8.712, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 7.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9318, kappa: 0.3315, kb_relative_information_score: -652.1792, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9321, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1195.4666, usercpu_time_millis: 47.858, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 46.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.9063, kb_relative_information_score: -696.8381, mean_absolute_error: 0.1112, 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: 0.9374, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9573, scimark_benchmark: 1200.3129, usercpu_time_millis: 6.919, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 6.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -764.6498, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1203.1125, usercpu_time_millis: 47.282, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 46.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1009.2931, mean_absolute_error: 0.1, 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: 0.8428, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.8925, scimark_benchmark: 1196.9933, usercpu_time_millis: 21.363, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 20.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -683.1952, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1202.16, usercpu_time_millis: 9.128, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 8.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9239, kappa: 0.227, kb_relative_information_score: -782.1752, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8569, scimark_benchmark: 1201.1955, usercpu_time_millis: 127.404, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 126.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9237, kappa: 0.2215, kb_relative_information_score: -793.5174, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1201.4318, usercpu_time_millis: 70.183, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 69.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9153, kappa: 0.1148, kb_relative_information_score: -905.1345, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9248, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1198.9791, usercpu_time_millis: 148.659, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 147.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -804.9916, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8575, scimark_benchmark: 1206.2996, usercpu_time_millis: 58.774, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 57.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.9063, kb_relative_information_score: -1603.325, 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: 0.9222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1199.6234, usercpu_time_millis: 66.296, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 65.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1042.6684, 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: 0.8453, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.891, scimark_benchmark: 1200.4425, usercpu_time_millis: 51.326, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 50.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -643.7875, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8668, scimark_benchmark: 1200.392, usercpu_time_millis: 5.85, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 5.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -806.8445, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1205.4052, usercpu_time_millis: 8.121, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 7.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1128.0506, mean_absolute_error: 0.1019, 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: 0.8587, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.904, scimark_benchmark: 1199.4215, usercpu_time_millis: 170.19, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 168.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.9063, kb_relative_information_score: -1707.8359, mean_absolute_error: 0.1103, 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: 0.9301, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9633, scimark_benchmark: 1201.9391, usercpu_time_millis: 44.85, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 44.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9063, kb_relative_information_score: -1234.4632, mean_absolute_error: 0.1073, 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: 0.9048, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9333, scimark_benchmark: 1202.1294, usercpu_time_millis: 6.201, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 5.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9063, kb_relative_information_score: -1376.7064, mean_absolute_error: 0.1088, 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: 0.9173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9446, scimark_benchmark: 1200.7458, usercpu_time_millis: 18.149, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 17.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -960.1533, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8775, scimark_benchmark: 1199.5265, usercpu_time_millis: 123.099, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 121.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.754, mean_absolute_error: 0.1183, 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: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1198.3446, usercpu_time_millis: 3.293, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 2.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9233, kappa: 0.2438, kb_relative_information_score: -875.3074, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.92, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9018, scimark_benchmark: 1198.5654, usercpu_time_millis: 240.854, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 239.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1098.5437, mean_absolute_error: 0.105, 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: 0.8854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.92, scimark_benchmark: 1200.875, usercpu_time_millis: 13.343, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 12.166,

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