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OpenML
Task
Supervised Classification on delta_ailerons

Supervised Classification on delta_ailerons

Task 3668 Supervised Classification delta_ailerons 565 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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565 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.938, kappa: 0.8755, kb_relative_information_score: 5910.0891, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.938, predictive_accuracy: 0.938, prior_entropy: 0.9973, recall: 0.938, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4889, scimark_benchmark: 1304.9611, usercpu_time_millis: 3350, usercpu_time_millis_testing: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9392, kappa: 0.8779, kb_relative_information_score: 6258.2785, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9973, recall: 0.9393, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.4938, scimark_benchmark: 1304.9611, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9383, kappa: 0.8761, kb_relative_information_score: 6246.2132, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9389, predictive_accuracy: 0.9384, prior_entropy: 0.9973, recall: 0.9384, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.4972, scimark_benchmark: 937.5996, usercpu_time_millis: 102020, usercpu_time_millis_testing: 3230, usercpu_time_millis_training: 98790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9402, kappa: 0.8798, kb_relative_information_score: 6272.3547, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9973, recall: 0.9402, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4898, scimark_benchmark: 1297.6599, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9381, kappa: 0.8756, kb_relative_information_score: 5636.6409, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9384, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4645, scimark_benchmark: 1386.5717, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9358, kappa: 0.8709, kb_relative_information_score: 6210.0174, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9368, predictive_accuracy: 0.9359, prior_entropy: 0.9973, recall: 0.9359, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5073, scimark_benchmark: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9398, kappa: 0.879, kb_relative_information_score: 5756.9481, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 0.9973, recall: 0.9398, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4546, scimark_benchmark: 882.7843, usercpu_time_millis: 1019590, usercpu_time_millis_testing: 4970, usercpu_time_millis_training: 1014620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9429, kappa: 0.8852, kb_relative_information_score: 6029.4487, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9431, predictive_accuracy: 0.9429, prior_entropy: 0.9973, recall: 0.9429, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4354, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9395, kappa: 0.8785, kb_relative_information_score: 5983.2151, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9396, predictive_accuracy: 0.9395, prior_entropy: 0.9973, recall: 0.9395, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4503, scimark_benchmark: 1250.8301, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9444, kappa: 0.8884, kb_relative_information_score: 5945.0729, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9445, predictive_accuracy: 0.9445, prior_entropy: 0.9973, recall: 0.9445, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4266, scimark_benchmark: 825.5282, usercpu_time_millis: 3450, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9135, kappa: 0.8263, kb_relative_information_score: 5888.2768, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 0.9973, recall: 0.9135, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5895, scimark_benchmark: 1361.1055, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9384, kappa: 0.8762, kb_relative_information_score: 5855.7003, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 0.9973, recall: 0.9384, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4655, scimark_benchmark: 1073.494, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9409, kappa: 0.8813, kb_relative_information_score: 5801.1034, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 0.9973, recall: 0.9409, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.466, scimark_benchmark: 1310.8451, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9251, kappa: 0.8497, kb_relative_information_score: 6055.1797, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9252, predictive_accuracy: 0.9251, prior_entropy: 0.9973, recall: 0.9251, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5484, scimark_benchmark: 1325.942, usercpu_time_millis: 5800, usercpu_time_millis_testing: 2730, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3837, f_measure: 0.372, kappa: -0.2288, kb_relative_information_score: -1789.2593, mean_absolute_error: 0.6221, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.3795, predictive_accuracy: 0.3779, prior_entropy: 0.9973, recall: 0.3779, relative_absolute_error: 1.2489, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7887, root_relative_squared_error: 1.5804, scimark_benchmark: 1372.2145, usercpu_time_millis: 680, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9358, kappa: 0.8711, kb_relative_information_score: 5868.1689, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9973, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4575, scimark_benchmark: 1358.4523, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9369, kappa: 0.8733, kb_relative_information_score: 6226.1044, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9373, predictive_accuracy: 0.937, prior_entropy: 0.9973, recall: 0.937, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5029, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9382, kappa: 0.8758, kb_relative_information_score: 6244.2024, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9387, predictive_accuracy: 0.9383, prior_entropy: 0.9973, recall: 0.9383, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.4978, scimark_benchmark: 1353.5686, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3679, kb_relative_information_score: -0.0082, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4991, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9425, kappa: 0.8844, kb_relative_information_score: 5908.6949, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9973, recall: 0.9425, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4624, scimark_benchmark: 1466.6185, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9333, kappa: 0.8661, kb_relative_information_score: 6174.6141, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9335, predictive_accuracy: 0.9334, prior_entropy: 0.9973, recall: 0.9334, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5158, scimark_benchmark: 931.2336, usercpu_time_millis: 500, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9335, kappa: 0.8663, kb_relative_information_score: 6176.4695, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9336, predictive_accuracy: 0.9335, prior_entropy: 0.9973, recall: 0.9335, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5145, scimark_benchmark: 945.6434, usercpu_time_millis: 1000, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9333, kappa: 0.8661, kb_relative_information_score: 5998.6005, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9335, predictive_accuracy: 0.9334, prior_entropy: 0.9973, recall: 0.9334, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4966, scimark_benchmark: 941.7954, usercpu_time_millis: 1230, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.3596, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4868, scimark_benchmark: 923.7642, usercpu_time_millis: 700, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.3596, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4868, scimark_benchmark: 894.7455, usercpu_time_millis: 700, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9371, kappa: 0.8736, kb_relative_information_score: 6229.0459, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5005, scimark_benchmark: 936.7115, usercpu_time_millis: 2060, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9371, kappa: 0.8736, kb_relative_information_score: 6227.8619, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.5013, scimark_benchmark: 936.6206, usercpu_time_millis: 980, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9371, kappa: 0.8736, kb_relative_information_score: 6226.9752, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5019, scimark_benchmark: 942.1229, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9371, kappa: 0.8736, kb_relative_information_score: 6225.7482, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5021, scimark_benchmark: 922.9039, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9368, kappa: 0.8731, kb_relative_information_score: 6222.7538, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9371, predictive_accuracy: 0.9369, prior_entropy: 0.9973, recall: 0.9369, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5027, scimark_benchmark: 938.9865, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9412, kappa: 0.8819, kb_relative_information_score: 5922.3504, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9413, predictive_accuracy: 0.9412, prior_entropy: 0.9973, recall: 0.9412, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4349, scimark_benchmark: 924.6116, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.0583, build_memory: 1635903551.2403, f_measure: 0.9157, kappa: 0.8308, kb_relative_information_score: 5920.4508, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9157, predictive_accuracy: 0.9157, prior_entropy: 0.9973, recall: 0.9157, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5818, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, build_cpu_time: 4.335, build_memory: 798136345.4633, f_measure: 0.9447, kappa: 0.8889, kb_relative_information_score: 5985.3363, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9448, predictive_accuracy: 0.9447, prior_entropy: 0.9973, recall: 0.9447, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4309, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, build_cpu_time: 6.7682, build_memory: 527609295.3559, f_measure: 0.9446, kappa: 0.8887, kb_relative_information_score: 5983.8329, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9973, recall: 0.9446, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4316, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 9.5194, build_memory: 786195199.2134, f_measure: 0.944, kappa: 0.8875, kb_relative_information_score: 5975.7881, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.9973, recall: 0.944, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4342, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, build_cpu_time: 17.2369, build_memory: 892588314.7909, f_measure: 0.944, kappa: 0.8875, kb_relative_information_score: 5975.8138, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.9973, recall: 0.944, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4342, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_cpu_time: 1.9677, build_memory: 297158300.2564, f_measure: 0.9302, kappa: 0.8599, kb_relative_information_score: 5884.9176, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9303, predictive_accuracy: 0.9303, prior_entropy: 0.9973, recall: 0.9303, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4826, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, build_cpu_time: 1.0356, build_memory: 702644560.891, f_measure: 0.9308, kappa: 0.861, kb_relative_information_score: 5887.2737, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9309, predictive_accuracy: 0.9308, prior_entropy: 0.9973, recall: 0.9308, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4781, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, build_cpu_time: 0.5543, build_memory: 902265976.9269, f_measure: 0.9333, kappa: 0.8661, kb_relative_information_score: 5884.5934, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9335, predictive_accuracy: 0.9334, prior_entropy: 0.9973, recall: 0.9334, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.236, root_relative_squared_error: 0.473, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 0.2533, build_memory: 1360726316.8669, f_measure: 0.936, kappa: 0.8714, kb_relative_information_score: 5876.1081, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9362, predictive_accuracy: 0.936, prior_entropy: 0.9973, recall: 0.936, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4682, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, build_cpu_time: 0.1274, build_memory: 931819544.5386, f_measure: 0.9344, kappa: 0.8683, kb_relative_information_score: 5764.4844, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9973, recall: 0.9345, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4771, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, build_cpu_time: 0.3413, build_memory: 881949292.6155, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.1336, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4867, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.4499, build_memory: 666365697.4689, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.3596, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4868, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.4623, build_memory: 1174982367.6824, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.3596, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4868, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.4588, build_memory: 732565457.1031, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.3596, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4868, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 0.5019, build_memory: 1499321153.3825, f_measure: 0.9329, kappa: 0.8652, kb_relative_information_score: 5831.3596, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.9973, recall: 0.933, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4868, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, build_cpu_time: 1135.092, build_memory: 259102945.5497, f_measure: 0.9365, kappa: 0.8725, kb_relative_information_score: 5830.8759, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9369, predictive_accuracy: 0.9366, prior_entropy: 0.9973, recall: 0.9366, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4612, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, build_cpu_time: 2360.1258, build_memory: 786768360.8573, f_measure: 0.9385, kappa: 0.8765, kb_relative_information_score: 5873.5536, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9387, predictive_accuracy: 0.9386, prior_entropy: 0.9973, recall: 0.9386, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4544, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, build_cpu_time: 4740.8026, build_memory: 496372415.9529, f_measure: 0.9402, kappa: 0.8799, kb_relative_information_score: 5948.2753, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.9973, recall: 0.9402, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4446, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 9121.0581, build_memory: 310141063.0024, f_measure: 0.9412, kappa: 0.8819, kb_relative_information_score: 6020.8482, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9413, predictive_accuracy: 0.9412, prior_entropy: 0.9973, recall: 0.9412, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4411, scimark_benchmark: 931.6517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 354.5614, build_memory: 699519045.3427, f_measure: 0.9423, kappa: 0.8842, kb_relative_information_score: 6301.8152, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9424, predictive_accuracy: 0.9423, prior_entropy: 0.9973, recall: 0.9423, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.4797, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 164.2071, build_memory: 157529600.1762, f_measure: 0.9409, kappa: 0.8814, kb_relative_information_score: 6286.6318, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9973, recall: 0.9409, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4821, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, build_cpu_time: 74.6966, build_memory: 2144415531.9871, f_measure: 0.9373, kappa: 0.8741, kb_relative_information_score: 6234.0923, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.9973, recall: 0.9373, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.4939, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, build_cpu_time: 40.0211, build_memory: 119074669.9868, f_measure: 0.9341, kappa: 0.8676, kb_relative_information_score: 6191.2645, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9341, predictive_accuracy: 0.9341, prior_entropy: 0.9973, recall: 0.9341, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.496, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, build_cpu_time: 4.667, build_memory: 157796906.5844, f_measure: 0.9375, kappa: 0.8745, kb_relative_information_score: 5871.9226, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9377, predictive_accuracy: 0.9376, prior_entropy: 0.9973, recall: 0.9376, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4589, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 8.5942, build_memory: 1164379185.7181, f_measure: 0.9371, kappa: 0.8737, kb_relative_information_score: 5945.1884, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 0.9973, recall: 0.9372, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4519, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, build_cpu_time: 16.397, build_memory: 499334058.4497, f_measure: 0.9385, kappa: 0.8765, kb_relative_information_score: 5992.0404, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9973, recall: 0.9386, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4505, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, build_cpu_time: 34.6242, build_memory: 802196395.9119, f_measure: 0.9381, kappa: 0.8757, kb_relative_information_score: 6039.2095, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4503, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 64.6387, build_memory: 1202372488.8921, f_measure: 0.9395, kappa: 0.8786, kb_relative_information_score: 6110.6261, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9973, recall: 0.9395, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4493, scimark_benchmark: 914.1182,

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