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OpenML
OpenML
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
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Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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60368 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9813, kappa: 0.8383, kb_relative_information_score: 9393.3706, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.3338, recall: 0.9813, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5161, scimark_benchmark: 854.5188, usercpu_time_millis: 503090, usercpu_time_millis_testing: 503090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9817, kappa: 0.8394, kb_relative_information_score: 11169.1809, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9815, predictive_accuracy: 0.9819, prior_entropy: 0.3338, recall: 0.9819, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.5603, scimark_benchmark: 1442.7264, usercpu_time_millis: 10930, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9934, kappa: 0.9427, kb_relative_information_score: 13214.2877, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.338, scimark_benchmark: 1034.1273, usercpu_time_millis: 125690, usercpu_time_millis_testing: 28700, usercpu_time_millis_training: 96990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9942, kappa: 0.9504, kb_relative_information_score: 13349.8068, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3178, scimark_benchmark: 1310.3951, usercpu_time_millis: 3160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9948, kappa: 0.9554, kb_relative_information_score: 12838.5942, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.3338, recall: 0.9948, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.2753, scimark_benchmark: 935.5075, usercpu_time_millis: 30560, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 30460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9801, kappa: 0.8279, kb_relative_information_score: 10848.863, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.3338, recall: 0.9801, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.5875, scimark_benchmark: 938.9967, usercpu_time_millis: 2500, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 1368.9272, usercpu_time_millis: 1085340, usercpu_time_millis_testing: 168080, usercpu_time_millis_training: 917260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9886, kappa: 0.9042, kb_relative_information_score: 11873.5025, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9882, prior_entropy: 0.3338, recall: 0.9882, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.417, scimark_benchmark: 1337.7959, usercpu_time_millis: 1320, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9933, kappa: 0.9426, kb_relative_information_score: 13003.7676, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.3172, scimark_benchmark: 918.6491, usercpu_time_millis: 9820, usercpu_time_millis_testing: 6580, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9911, kappa: 0.9215, kb_relative_information_score: 8937.0908, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9911, predictive_accuracy: 0.9912, prior_entropy: 0.3338, recall: 0.9912, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.4072, scimark_benchmark: 1280.6952, usercpu_time_millis: 8820, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 8260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.9696, kappa: 0.7363, kb_relative_information_score: 8988.555, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.3338, recall: 0.9696, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.7258, scimark_benchmark: 1361.1055, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9914, kappa: 0.9263, kb_relative_information_score: 12498.7753, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9915, predictive_accuracy: 0.9913, prior_entropy: 0.3338, recall: 0.9913, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.3667, scimark_benchmark: 1073.494, usercpu_time_millis: 1360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9915, kappa: 0.9268, kb_relative_information_score: 12660.812, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.3735, scimark_benchmark: 1336.3256, usercpu_time_millis: 28570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 28530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 1363.454, usercpu_time_millis: 887800, usercpu_time_millis_testing: 157440, usercpu_time_millis_training: 730360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9915, kappa: 0.925, kb_relative_information_score: 12893.9697, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9915, predictive_accuracy: 0.9916, prior_entropy: 0.3338, recall: 0.9916, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3815, scimark_benchmark: 1290.1085, usercpu_time_millis: 84740, usercpu_time_millis_testing: 46970, usercpu_time_millis_training: 37770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9918, kappa: 0.9294, kb_relative_information_score: 12878.6691, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.0783, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3687, scimark_benchmark: 1358.4523, usercpu_time_millis: 5680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.9417, kappa: 0.4691, kb_relative_information_score: 4614.9833, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9396, predictive_accuracy: 0.9449, prior_entropy: 0.3338, recall: 0.9449, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9766, scimark_benchmark: 1465.2979, usercpu_time_millis: 480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.991, kappa: 0.9226, kb_relative_information_score: 12770.7705, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9911, predictive_accuracy: 0.9909, prior_entropy: 0.3338, recall: 0.9909, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3969, scimark_benchmark: 1353.5686, usercpu_time_millis: 4590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9087, kb_relative_information_score: -17.2542, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9925, kappa: 0.9353, kb_relative_information_score: 12906.7354, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.3561, scimark_benchmark: 1384.4418, usercpu_time_millis: 6390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9789, kappa: 0.8309, kb_relative_information_score: 10592.8953, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9828, predictive_accuracy: 0.9774, prior_entropy: 0.3338, recall: 0.9774, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.5407, scimark_benchmark: 931.2336, usercpu_time_millis: 58680, usercpu_time_millis_testing: 19040, usercpu_time_millis_training: 39640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9924, kappa: 0.9353, kb_relative_information_score: 12938.2105, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.3501, scimark_benchmark: 938.2848, usercpu_time_millis: 122580, usercpu_time_millis_testing: 37820, usercpu_time_millis_training: 84760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9932, kappa: 0.9412, kb_relative_information_score: 13165.1462, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.3326, scimark_benchmark: 945.7621, usercpu_time_millis: 258700, usercpu_time_millis_testing: 79430, usercpu_time_millis_training: 179270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9923, kappa: 0.9336, kb_relative_information_score: 13037.7286, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.3472, scimark_benchmark: 945.6434, usercpu_time_millis: 510160, usercpu_time_millis_testing: 156520, usercpu_time_millis_training: 353640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9902, kappa: 0.9148, kb_relative_information_score: 12718.7985, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9902, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.375, scimark_benchmark: 934.5243, usercpu_time_millis: 241900, usercpu_time_millis_testing: 72840, usercpu_time_millis_training: 169060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9919, kappa: 0.9294, kb_relative_information_score: 12920.2287, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.3338, recall: 0.9919, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.3599, scimark_benchmark: 940.2922, usercpu_time_millis: 207440, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 207320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9906, kappa: 0.9191, kb_relative_information_score: 12694.4451, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3849, scimark_benchmark: 936.7115, usercpu_time_millis: 93440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 93380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9888, kappa: 0.9013, kb_relative_information_score: 12420.0046, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.4087, scimark_benchmark: 934.5243, usercpu_time_millis: 30060, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.987, kappa: 0.8882, kb_relative_information_score: 11639.0427, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.3338, recall: 0.9869, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.461, scimark_benchmark: 922.9039, usercpu_time_millis: 22940, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 22910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9818, kappa: 0.8466, kb_relative_information_score: 10900.5435, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9826, predictive_accuracy: 0.9813, prior_entropy: 0.3338, recall: 0.9813, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.5518, scimark_benchmark: 938.9865, usercpu_time_millis: 7680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9939, kappa: 0.9478, kb_relative_information_score: 12795.6406, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 0.3338, recall: 0.9939, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2868, scimark_benchmark: 945.6434, usercpu_time_millis: 32050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 32030,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 975.0411, build_memory: 1097394612.0581, f_measure: 0.993, kappa: 0.9395, kb_relative_information_score: 12762.3755, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2986, scimark_benchmark: 943.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 941.6772, build_memory: 1187184958.4411, f_measure: 0.993, kappa: 0.9395, kb_relative_information_score: 12762.3755, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2986, scimark_benchmark: 944.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 481.234, build_memory: 636560179.4545, f_measure: 0.9929, kappa: 0.939, kb_relative_information_score: 12759.8868, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2985, scimark_benchmark: 937.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 478.3984, build_memory: 894761014.7712, f_measure: 0.9929, kappa: 0.939, kb_relative_information_score: 12759.8868, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2985, scimark_benchmark: 928.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 458.2643, build_memory: 207615807.0541, f_measure: 0.9929, kappa: 0.939, kb_relative_information_score: 12759.8868, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.2985, scimark_benchmark: 941.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 396.9084, build_memory: 1603206915.409, f_measure: 0.9928, kappa: 0.9378, kb_relative_information_score: 12729.8562, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.3009, scimark_benchmark: 896.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 119.1675, build_memory: 400119841.1237, f_measure: 0.993, kappa: 0.9394, kb_relative_information_score: 12665.5435, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3047, scimark_benchmark: 930.751,

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