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OpenML
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
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6835, kappa: 0.3569, kb_relative_information_score: 71.3724, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6832, predictive_accuracy: 0.684, prior_entropy: 0.9898, recall: 0.684, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9453, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5084, kappa: 0.1164, kb_relative_information_score: 47.8487, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6916, predictive_accuracy: 0.604, prior_entropy: 0.9898, recall: 0.604, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2677, scimark_benchmark: 1325.2092, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.686, kappa: 0.3607, kb_relative_information_score: 90.7205, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6861, predictive_accuracy: 0.688, prior_entropy: 0.9898, recall: 0.688, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1253, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6789, kappa: 0.3468, kb_relative_information_score: 44.928, mean_absolute_error: 0.415, 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: 0.8421, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.927, scimark_benchmark: 1335.643, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6983, kappa: 0.3859, kb_relative_information_score: 96.845, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6984, predictive_accuracy: 0.7, prior_entropy: 0.9898, recall: 0.7, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1034, scimark_benchmark: 938.343, 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: 939.9176, usercpu_time_millis: 1810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1790,
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: 918.6491, 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: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8592, kappa: 0.7134, kb_relative_information_score: 153.6565, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8607, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.664, scimark_benchmark: 934.0566,
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: 914.4835, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 936.6084, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
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: 1331.6907, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8044, kappa: 0.6042, kb_relative_information_score: 149.9244, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8054, predictive_accuracy: 0.804, prior_entropy: 0.9898, recall: 0.804, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8919, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.832, kappa: 0.6591, kb_relative_information_score: 139.0088, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.765, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8228, kappa: 0.6393, kb_relative_information_score: 135.5508, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8244, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7895, scimark_benchmark: 1354.2491, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8351, kappa: 0.6643, kb_relative_information_score: 166.2565, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8158, scimark_benchmark: 1330.2678, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.3213, kappa: 0.0202, kb_relative_information_score: -27.6873, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.5882, predictive_accuracy: 0.456, prior_entropy: 0.9898, recall: 0.456, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4859, scimark_benchmark: 1287.514, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8483, kappa: 0.6928, kb_relative_information_score: 167.7769, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8489, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7465, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7758, kappa: 0.5446, kb_relative_information_score: 135.6338, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7756, predictive_accuracy: 0.776, prior_entropy: 0.9898, recall: 0.776, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9535, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8401, kappa: 0.676, kb_relative_information_score: 168.298, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8058, scimark_benchmark: 1353.5686,
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: 1330.0803,
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: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.696, kappa: 0.3831, kb_relative_information_score: 90.2293, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.0642, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 940.2922, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
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: 943.2817, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 911.3823, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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: 934.5243, 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: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8917, kappa: 0.7798, kb_relative_information_score: 189.2206, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5855, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8797, kappa: 0.7555, kb_relative_information_score: 168.773, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5954, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, build_cpu_time: 0.137, build_memory: 798232202.4, f_measure: 0.8002, kappa: 0.5949, kb_relative_information_score: 146.3706, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8903, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, build_cpu_time: 0.0606, build_memory: 489200163.2, f_measure: 0.8002, kappa: 0.5949, kb_relative_information_score: 147.3738, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 0.9898, recall: 0.8, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8822, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, build_cpu_time: 0.0453, build_memory: 239185915.2, f_measure: 0.7961, kappa: 0.5864, kb_relative_information_score: 144.7735, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 0.9898, recall: 0.796, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.869, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.0075, build_memory: 803036870.4, f_measure: 0.7883, kappa: 0.5711, kb_relative_information_score: 132.8983, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7888, predictive_accuracy: 0.788, prior_entropy: 0.9898, recall: 0.788, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8556, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.0127, build_memory: 1419729263.2, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, build_cpu_time: 0.015, build_memory: 2437516331.2, f_measure: 0.6897, kappa: 0.3682, kb_relative_information_score: 72.6134, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6902, predictive_accuracy: 0.692, prior_entropy: 0.9898, recall: 0.692, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9123, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 4.2589, build_memory: 20586076, f_measure: 0.8121, kappa: 0.6189, kb_relative_information_score: 149.2131, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9898, recall: 0.812, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7628, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, build_cpu_time: 8.2987, build_memory: 29337648.8, f_measure: 0.8242, kappa: 0.6436, kb_relative_information_score: 163.6104, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8244, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7513, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, build_cpu_time: 16.6175, build_memory: 22166572, f_measure: 0.8599, kappa: 0.7156, kb_relative_information_score: 177.3988, mean_absolute_error: 0.1425, 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: 0.2891, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7277, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 33.4312, build_memory: 14541696.8, f_measure: 0.8961, kappa: 0.7894, kb_relative_information_score: 196.6998, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8963, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6313, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 85.2705, build_memory: 895068806.4, f_measure: 0.8881, kappa: 0.7732, kb_relative_information_score: 191.8773, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6678, scimark_benchmark: 938.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, build_cpu_time: 8.5026, build_memory: 439361136.8, f_measure: 0.9039, kappa: 0.8048, kb_relative_information_score: 199.4354, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6265, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 4.6082, build_memory: 260325311.2, f_measure: 0.9159, kappa: 0.829, kb_relative_information_score: 206.3137, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.9898, recall: 0.916, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.5774, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, build_cpu_time: 2.0518, build_memory: 158706600, f_measure: 0.9113, kappa: 0.8193, kb_relative_information_score: 202.6592, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9149, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5909, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, build_cpu_time: 0.9288, build_memory: 1438580166.4, f_measure: 0.8958, kappa: 0.7881, kb_relative_information_score: 188.7754, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6311, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, build_cpu_time: 0.204, build_memory: 962701066.4, f_measure: 0.8467, kappa: 0.6879, kb_relative_information_score: 171.597, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8495, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7329, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.8096, build_memory: 575111052, f_measure: 0.8876, kappa: 0.7714, kb_relative_information_score: 193.4403, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6554, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, build_cpu_time: 1.6576, build_memory: 886733642.4, f_measure: 0.9119, kappa: 0.8211, kb_relative_information_score: 204.4241, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5965, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, build_cpu_time: 3.1018, build_memory: 468993371.2, f_measure: 0.908, kappa: 0.8131, kb_relative_information_score: 203.1982, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6026, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, build_cpu_time: 0.4806, build_memory: 1372147718.4, f_measure: 0.908, kappa: 0.8135, kb_relative_information_score: 203.432, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5852, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, build_cpu_time: 0.4541, build_memory: 481207212.8, f_measure: 0.916, kappa: 0.8294, kb_relative_information_score: 206.9312, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9159, predictive_accuracy: 0.916, prior_entropy: 0.9898, recall: 0.916, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5593, scimark_benchmark: 890.3066,

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