OpenML
Supervised Classification on fri_c1_250_10

Supervised Classification on fri_c1_250_10

Task 3798 Supervised Classification fri_c1_250_10 580 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8204, kappa: 0.6365, kb_relative_information_score: 96.5688, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8214, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.743, scimark_benchmark: 924.2305, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8635, kappa: 0.7224, kb_relative_information_score: 112.4195, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 0.9898, recall: 0.864, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7007, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8596, kappa: 0.7145, kb_relative_information_score: 158.7963, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6552, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8596, kappa: 0.7145, kb_relative_information_score: 158.7963, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6552, 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: 0.925, f_measure: 0.8596, kappa: 0.7145, kb_relative_information_score: 158.7963, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6552, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8555, kappa: 0.7061, kb_relative_information_score: 158.4797, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6498, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8195, kappa: 0.633, kb_relative_information_score: 142.8056, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8196, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6824, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8833, kappa: 0.7625, kb_relative_information_score: 186.1884, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.885, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6469, scimark_benchmark: 926.5859, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8758, kappa: 0.7476, kb_relative_information_score: 178.4816, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6762, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8076, kappa: 0.6089, kb_relative_information_score: 153.4914, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8076, predictive_accuracy: 0.808, prior_entropy: 0.9898, recall: 0.808, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7814, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 147.9629, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8164, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8219, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7229, kappa: 0.4594, kb_relative_information_score: 114.2405, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7544, predictive_accuracy: 0.724, prior_entropy: 0.9898, recall: 0.724, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9005, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8353, kappa: 0.6649, kb_relative_information_score: 164.746, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7777, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.879, kappa: 0.7536, kb_relative_information_score: 68.8558, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8822, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8053, scimark_benchmark: 923.7471, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7381, kappa: 0.4667, kb_relative_information_score: 59.4981, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7391, predictive_accuracy: 0.74, prior_entropy: 0.9898, recall: 0.74, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8632, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8345, kappa: 0.6629, kb_relative_information_score: 139.598, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8377, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7597, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8404, kappa: 0.6772, kb_relative_information_score: 141.9178, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6724, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8389, kappa: 0.6721, kb_relative_information_score: 155.3896, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6597, scimark_benchmark: 933.5515, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 939.3886, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8503, kappa: 0.6952, kb_relative_information_score: 147.8792, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8551, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6863, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.872, kappa: 0.7403, kb_relative_information_score: 143.6268, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6518, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6822, kappa: 0.3531, kb_relative_information_score: 56.1921, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6822, predictive_accuracy: 0.684, prior_entropy: 0.9898, recall: 0.684, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9212, scimark_benchmark: 946.6409, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8837, kappa: 0.7635, kb_relative_information_score: 163.6607, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6466, scimark_benchmark: 946.9304, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 946.9304, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8345, kappa: 0.6629, kb_relative_information_score: 139.598, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8377, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7597, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1322.7279, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1322.0065, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8503, kappa: 0.6952, kb_relative_information_score: 147.8792, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8551, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6863, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.872, kappa: 0.7403, kb_relative_information_score: 143.6268, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6518, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 1318.6467, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8404, kappa: 0.6772, kb_relative_information_score: 141.9178, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6724, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8389, kappa: 0.6721, kb_relative_information_score: 155.3896, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6597, scimark_benchmark: 1330.3848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8503, kappa: 0.6952, kb_relative_information_score: 147.8792, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8551, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6863, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8837, kappa: 0.7635, kb_relative_information_score: 163.6607, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9898, recall: 0.884, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6466, scimark_benchmark: 1338.1299, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 1330.9181, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8404, kappa: 0.6772, kb_relative_information_score: 141.9178, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6724, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8389, kappa: 0.6721, kb_relative_information_score: 155.3896, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8407, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6597, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1332.1612, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1375.1578, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8503, kappa: 0.6952, kb_relative_information_score: 147.8792, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8551, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6863, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1489.4622, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8709, kappa: 0.7372, kb_relative_information_score: 151.8704, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.874, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6715, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 147.2732, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5964, scimark_benchmark: 1344.7524, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8345, kappa: 0.6629, kb_relative_information_score: 139.598, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8377, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7597, scimark_benchmark: 1330.0291, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 86.6375, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6785, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1286.0816, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,

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