OpenML
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: 0.9086, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -670.1844, mean_absolute_error: 0.0934, 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: 0.7878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 902.4689, usercpu_time_millis: 18.977, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 18.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9283, kappa: 0.2893, kb_relative_information_score: -782.468, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8715, scimark_benchmark: 938.4312, usercpu_time_millis: 195.115, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 193.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -810.4627, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 941.7174, usercpu_time_millis: 52.929, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 51.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -680.2584, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8492, scimark_benchmark: 957.3175, usercpu_time_millis: 34.821, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 33.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -788.6491, mean_absolute_error: 0.0939, 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: 0.7913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 921.4579, usercpu_time_millis: 168.485, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 166.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -649.5067, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8565, scimark_benchmark: 925.8732, usercpu_time_millis: 15.241, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 14.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.9063, kb_relative_information_score: -1139.6409, 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: 0.9172, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9432, scimark_benchmark: 946.7787, usercpu_time_millis: 28.217, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 26.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -827.304, mean_absolute_error: 0.0962, 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: 0.8111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8691, scimark_benchmark: 907.6869, usercpu_time_millis: 45.303, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 44.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 4.8626, mean_absolute_error: 0.1181, 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: 0.9954, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 936.7542, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9063, kb_relative_information_score: -1518.6105, mean_absolute_error: 0.1095, 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: 0.9229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9551, scimark_benchmark: 942.3804, usercpu_time_millis: 4.978, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 4.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.9063, kb_relative_information_score: 4.561, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 942.7748, usercpu_time_millis: 5.464, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 4.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -691.3816, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 928.743, usercpu_time_millis: 63.879, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 62.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -707.558, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8517, scimark_benchmark: 953.1902, usercpu_time_millis: 64.504, usercpu_time_millis_testing: 1.539, usercpu_time_millis_training: 62.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -890.888, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8661, scimark_benchmark: 912.7258, usercpu_time_millis: 66.876, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 65.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1111.1409, mean_absolute_error: 0.1035, 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: 0.8724, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9083, scimark_benchmark: 938.3544, usercpu_time_millis: 38.282, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 36.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -803.6302, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 915.0978, usercpu_time_millis: 29.601, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 29.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1010.1096, mean_absolute_error: 0.0995, 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: 0.8386, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8883, scimark_benchmark: 1377.2792, usercpu_time_millis: 94.296, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 92.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -826.3609, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8583, scimark_benchmark: 1380.2224, usercpu_time_millis: 108.598, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 107.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9187, kappa: 0.1601, kb_relative_information_score: -788.8082, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9252, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8741, scimark_benchmark: 1371.333, usercpu_time_millis: 19.299, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 18.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1161.9095, mean_absolute_error: 0.103, 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: 0.8687, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9068, scimark_benchmark: 1375.3228, usercpu_time_millis: 53.748, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 53.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -60.6179, 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: 0.9983, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1399.1011, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -740.0663, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8653, scimark_benchmark: 1377.066, usercpu_time_millis: 3.172, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 3.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -739.0171, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1371.9993, usercpu_time_millis: 146.732, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 145.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -906.3797, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8846, scimark_benchmark: 1370.2806, usercpu_time_millis: 120.745, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 119.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.9063, kb_relative_information_score: -1335.8131, mean_absolute_error: 0.1074, 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: 0.9052, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9313, scimark_benchmark: 1378.0059, usercpu_time_millis: 46.882, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 45.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -565.9554, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8453, scimark_benchmark: 1382.9224, usercpu_time_millis: 18.093, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 17.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: 2.5557, 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: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1373.4541, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9162, kappa: 0.1202, kb_relative_information_score: -926.1359, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8772, scimark_benchmark: 1377.6418, usercpu_time_millis: 33.856, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 33.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.9063, kb_relative_information_score: -1573.4375, 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: 0.922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9513, scimark_benchmark: 1375.7564, usercpu_time_millis: 51.309, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 50.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1060.9895, mean_absolute_error: 0.1024, 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: 0.8632, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9023, scimark_benchmark: 1375.9524, usercpu_time_millis: 8.885, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 8.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -785.177, mean_absolute_error: 0.0947, 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: 0.7987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8587, scimark_benchmark: 1374.8115, usercpu_time_millis: 44.795, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 43.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.9063, kb_relative_information_score: -1437.5581, mean_absolute_error: 0.1101, 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: 0.928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9546, scimark_benchmark: 1373.6898, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -643.9968, mean_absolute_error: 0.094, 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: 0.7926, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1378.9376, usercpu_time_millis: 14.601, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 13.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 4.5963, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1378.3042, usercpu_time_millis: 3.641, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 3.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -707.6816, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1365.7015, usercpu_time_millis: 44.426, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 43.454,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -997.8546, mean_absolute_error: 0.1, 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: 0.8434, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8954, scimark_benchmark: 1375.5517, usercpu_time_millis: 3.668, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 3.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9155, kappa: 0.1161, kb_relative_information_score: -866.5197, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9277, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8712, scimark_benchmark: 1372.522, usercpu_time_millis: 13.769, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 13.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9063, kb_relative_information_score: -1532.466, mean_absolute_error: 0.1093, 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: 0.9216, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9509, scimark_benchmark: 1373.2558, usercpu_time_millis: 24.708, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 24.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1149.1911, mean_absolute_error: 0.1046, 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: 0.8815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9127, scimark_benchmark: 1381.4665, usercpu_time_millis: 10.227, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 9.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: -0.1255, 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: 1376.2613, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -848.0834, mean_absolute_error: 0.0946, 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: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1377.4782, usercpu_time_millis: 11.787, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 11.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1775.5946, mean_absolute_error: 0.1103, 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: 0.9297, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.9627, scimark_benchmark: 1380.7248, usercpu_time_millis: 64.546, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 63.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1066.6076, mean_absolute_error: 0.1015, 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: 0.8556, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9009, scimark_benchmark: 1366.2299, usercpu_time_millis: 11.365, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 11.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1093.3785, mean_absolute_error: 0.1016, 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: 0.8565, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8952, scimark_benchmark: 1380.2639, usercpu_time_millis: 45.96, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 45.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.7133, 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: 0.9965, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1365.1632, usercpu_time_millis: 3.469, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 2.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.9063, kb_relative_information_score: -1286.1629, 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: 0.2248, root_relative_squared_error: 0.9242, scimark_benchmark: 1371.1733, usercpu_time_millis: 56.393, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 55.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9263, kappa: 0.2577, kb_relative_information_score: -724.4109, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1373.0753, usercpu_time_millis: 72.885, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 71.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -659.0054, mean_absolute_error: 0.0941, 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: 0.7931, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8529, scimark_benchmark: 1374.6703, usercpu_time_millis: 27.777, usercpu_time_millis_testing: 1.599, usercpu_time_millis_training: 26.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -819.6374, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8586, scimark_benchmark: 1373.0509, usercpu_time_millis: 138.283, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 137.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9195, kappa: 0.1646, kb_relative_information_score: -772.7495, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8708, scimark_benchmark: 1379.7709, usercpu_time_millis: 31.815, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 31.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -886.0179, mean_absolute_error: 0.1025, 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: 0.8638, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9009, scimark_benchmark: 1374.948, usercpu_time_millis: 6.917, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 6.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -849.6774, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8709, scimark_benchmark: 1372.0217, usercpu_time_millis: 14.943, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 14.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1072.8652, mean_absolute_error: 0.1018, 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: 0.8583, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8992, scimark_benchmark: 1371.4502, usercpu_time_millis: 21.152, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 20.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.9063, kb_relative_information_score: -1531.4655, mean_absolute_error: 0.1099, 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: 0.9262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9547, scimark_benchmark: 1373.2745, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 2.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -738.8505, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8529, scimark_benchmark: 1372.3703, usercpu_time_millis: 105.547, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 104.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -737.6612, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1380.3938, usercpu_time_millis: 50.504, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 49.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -593.8033, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.8451, scimark_benchmark: 1385.9947, usercpu_time_millis: 44.211, usercpu_time_millis_testing: 1.648, usercpu_time_millis_training: 42.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.9063, kb_relative_information_score: -1294.6865, mean_absolute_error: 0.1065, 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: 0.8978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9294, scimark_benchmark: 1375.2773, usercpu_time_millis: 24.057, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 23.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -958.5978, 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: 0.8595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9014, scimark_benchmark: 1376.7433, usercpu_time_millis: 11.162, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 9.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9261, kappa: 0.2607, kb_relative_information_score: -689.7393, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8598, scimark_benchmark: 1381.9698, usercpu_time_millis: 28.036, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 27.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9277, kappa: 0.2669, kb_relative_information_score: -667.2451, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467, scimark_benchmark: 1365.6944, usercpu_time_millis: 34.978, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 34.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -603.5359, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467, scimark_benchmark: 1375.9036, usercpu_time_millis: 17.407, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 16.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -742.5525, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1373.7019, usercpu_time_millis: 39.934, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 39.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -961.5709, mean_absolute_error: 0.0985, 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: 0.8304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8793, scimark_benchmark: 1380.4449, usercpu_time_millis: 108.261, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 107.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9232, kappa: 0.2143, kb_relative_information_score: -698.561, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.855, scimark_benchmark: 1347.7531, usercpu_time_millis: 7.982, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 7.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -766.4286, mean_absolute_error: 0.0995, 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: 0.8393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8825, scimark_benchmark: 1373.8074, usercpu_time_millis: 12.525, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 11.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -817.6341, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1379.3347, usercpu_time_millis: 54.834, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 54.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -647.8248, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8452, scimark_benchmark: 1378.37, usercpu_time_millis: 43.342, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 42.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -749.2115, mean_absolute_error: 0.0954, 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: 0.8042, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1381.3633, usercpu_time_millis: 28.395, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 27.454,

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