OpenML
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 1821 Supervised Classification ionosphere 357 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.892, kappa: 0.7636, kb_relative_information_score: 1247.8836, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8923, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6055, scimark_benchmark: 851.2074, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.898, kappa: 0.7771, kb_relative_information_score: 1350.9987, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.898, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6438, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9205, kappa: 0.8256, kb_relative_information_score: 1199.4136, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9218, predictive_accuracy: 0.9214, prior_entropy: 0.9425, recall: 0.9214, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 941.3847, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 936.3373, usercpu_time_millis: 2540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 943.1009, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 943.1009, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 935.2002, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.892, kappa: 0.7636, kb_relative_information_score: 1247.8836, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8923, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6055, scimark_benchmark: 608.4057, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 927.2882, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9205, kappa: 0.8256, kb_relative_information_score: 1199.4136, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9218, predictive_accuracy: 0.9214, prior_entropy: 0.9425, recall: 0.9214, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 933.3455, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 917.5013, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 936.9595, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9435, kappa: 0.8762, kb_relative_information_score: 1289.8865, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9451, predictive_accuracy: 0.9442, prior_entropy: 0.9425, recall: 0.9442, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4691, scimark_benchmark: 936.2727, usercpu_time_millis: 5620, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9436, kappa: 0.8763, kb_relative_information_score: 1293.1939, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.945, predictive_accuracy: 0.9442, prior_entropy: 0.9425, recall: 0.9442, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4679, scimark_benchmark: 934.695, usercpu_time_millis: 3300, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9407, kappa: 0.8701, kb_relative_information_score: 1289.1212, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.942, predictive_accuracy: 0.9413, prior_entropy: 0.9425, recall: 0.9413, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4767, scimark_benchmark: 921.2615, usercpu_time_millis: 1320, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9384, kappa: 0.865, kb_relative_information_score: 1274.6352, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9397, predictive_accuracy: 0.939, prior_entropy: 0.9425, recall: 0.939, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4856, scimark_benchmark: 939.7883, usercpu_time_millis: 570, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9271, kappa: 0.8406, kb_relative_information_score: 1262.8295, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9276, predictive_accuracy: 0.9276, prior_entropy: 0.9425, recall: 0.9276, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5076, scimark_benchmark: 941.9549, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9154, kappa: 0.8146, kb_relative_information_score: 1409.3804, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9163, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5642, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9154, kappa: 0.8146, kb_relative_information_score: 1409.3804, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9163, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5642, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9154, kappa: 0.8146, kb_relative_information_score: 1409.3804, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9163, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5642, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9137, kappa: 0.8109, kb_relative_information_score: 1397.8133, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9146, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5658, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9025, kappa: 0.7862, kb_relative_information_score: 1332.5867, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9038, predictive_accuracy: 0.9037, prior_entropy: 0.9425, recall: 0.9037, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5903, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5008, kb_relative_information_score: -1.7887, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4797, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9227, kappa: 0.8299, kb_relative_information_score: 1454.1357, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.927, predictive_accuracy: 0.9242, prior_entropy: 0.9425, recall: 0.9242, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 938.3115, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.919, kappa: 0.8216, kb_relative_information_score: 1438.6743, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9244, predictive_accuracy: 0.9208, prior_entropy: 0.9425, recall: 0.9208, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5605, scimark_benchmark: 938.3115, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8951, kappa: 0.768, kb_relative_information_score: 1344.9652, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9061, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6281, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8329, kappa: 0.6293, kb_relative_information_score: 1132.4534, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8582, predictive_accuracy: 0.8427, prior_entropy: 0.9425, recall: 0.8427, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7658, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 1325.8468, usercpu_time_millis: 1930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8174, kappa: 0.5951, kb_relative_information_score: 898.5946, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8507, predictive_accuracy: 0.8302, prior_entropy: 0.9425, recall: 0.8302, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7705, scimark_benchmark: 1339.2472, usercpu_time_millis: 1330, usercpu_time_millis_testing: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.898, kappa: 0.7771, kb_relative_information_score: 1350.9987, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.898, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6438, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9205, kappa: 0.8256, kb_relative_information_score: 1199.4136, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9218, predictive_accuracy: 0.9214, prior_entropy: 0.9425, recall: 0.9214, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 1366.7181, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 1347.6543, usercpu_time_millis: 1480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8971, kappa: 0.7747, kb_relative_information_score: 1255.2869, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8976, predictive_accuracy: 0.898, prior_entropy: 0.9425, recall: 0.898, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6414, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1337.9552, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 1306.8702, usercpu_time_millis: 1860, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 1343.3311, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 1346.1568, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1345.6844, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9205, kappa: 0.8256, kb_relative_information_score: 1199.4136, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9218, predictive_accuracy: 0.9214, prior_entropy: 0.9425, recall: 0.9214, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 1336.5541, usercpu_time_millis: 1920, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.918, kappa: 0.8199, kb_relative_information_score: 1421.4511, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9425, recall: 0.9191, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5679, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 1306.8702, usercpu_time_millis: 1420, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 1367.3264, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8964, kappa: 0.7716, kb_relative_information_score: 1296.3065, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9008, predictive_accuracy: 0.8986, prior_entropy: 0.9425, recall: 0.8986, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6175, scimark_benchmark: 1332.9478, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9138, kappa: 0.8096, kb_relative_information_score: 1423.3916, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9227, predictive_accuracy: 0.9162, prior_entropy: 0.9425, recall: 0.9162, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6033, scimark_benchmark: 1320.1171, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9205, kappa: 0.8256, kb_relative_information_score: 1199.4136, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9218, predictive_accuracy: 0.9214, prior_entropy: 0.9425, recall: 0.9214, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5537, scimark_benchmark: 1328.1785, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9358, kappa: 0.8589, kb_relative_information_score: 1376.5395, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9368, prior_entropy: 0.9425, recall: 0.9368, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4656, scimark_benchmark: 1352.9931, usercpu_time_millis: 1810, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8921, kappa: 0.7639, kb_relative_information_score: 1280.0432, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8922, predictive_accuracy: 0.8929, prior_entropy: 0.9425, recall: 0.8929, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6353, scimark_benchmark: 1325.3966, usercpu_time_millis: 1400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9372, kappa: 0.8623, kb_relative_information_score: 1255.5229, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.9387, predictive_accuracy: 0.9379, prior_entropy: 0.9425, recall: 0.9379, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4936, scimark_benchmark: 1339.6197, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8937, kappa: 0.7666, kb_relative_information_score: 1174.2387, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4604, number_of_instances: 1755, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9425, recall: 0.8952, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5912, scimark_benchmark: 1364.991, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs