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OpenML
OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 3841 Supervised Classification mfeat-factors 568 runs submitted
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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: 0.9943, f_measure: 0.9935, kappa: 0.9641, kb_relative_information_score: 1868.3265, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.2344, scimark_benchmark: 1325.2092, usercpu_time_millis: 6460, usercpu_time_millis_testing: 6460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.984, kappa: 0.9111, kb_relative_information_score: 1758.5799, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.4703, recall: 0.984, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.4216, scimark_benchmark: 937.6212, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.993, kappa: 0.9608, kb_relative_information_score: 1891.3545, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789, scimark_benchmark: 940.3347, usercpu_time_millis: 1410, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 938.343, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1913.8946, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1583, scimark_benchmark: 934.6432, usercpu_time_millis: 2390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9945, kappa: 0.9696, kb_relative_information_score: 1913.4836, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472, scimark_benchmark: 939.449, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1896.819, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2184, scimark_benchmark: 869.6028, usercpu_time_millis: 58770, usercpu_time_millis_testing: 6280, usercpu_time_millis_training: 52490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 918.6491, usercpu_time_millis: 36170, usercpu_time_millis_testing: 16260, usercpu_time_millis_training: 19910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9531, kappa: 0.7613, kb_relative_information_score: 1254.6638, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.962, predictive_accuracy: 0.9495, prior_entropy: 0.4703, recall: 0.9495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, scimark_benchmark: 1290.1085, usercpu_time_millis: 230, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9854, kappa: 0.9209, kb_relative_information_score: 1746.2253, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 909.3537, usercpu_time_millis: 1400, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.96, kb_relative_information_score: 1773.5295, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619, scimark_benchmark: 1330.0694, usercpu_time_millis: 620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.98, kappa: 0.8889, kb_relative_information_score: 1699.5689, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.4703, recall: 0.98, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4714, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.989, kappa: 0.9386, kb_relative_information_score: 1787.9608, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.3242, scimark_benchmark: 1066.7184, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.989, kappa: 0.9383, kb_relative_information_score: 1813.5922, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9889, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.3471, scimark_benchmark: 1330.2678, usercpu_time_millis: 1760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9839, kappa: 0.9075, kb_relative_information_score: 1765.9562, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9848, predictive_accuracy: 0.9845, prior_entropy: 0.4703, recall: 0.9845, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.415, scimark_benchmark: 1359.379, usercpu_time_millis: 2160, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.0282, kappa: 0.0011, kb_relative_information_score: -11209.0752, mean_absolute_error: 0.895, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.105, prior_entropy: 0.4703, recall: 0.105, relative_absolute_error: 4.9634, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.946, root_relative_squared_error: 3.1535, scimark_benchmark: 1308.9788, usercpu_time_millis: 55160, usercpu_time_millis_testing: 9370, usercpu_time_millis_training: 45790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9915, kappa: 0.9525, kb_relative_information_score: 1866.4012, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3058, scimark_benchmark: 1465.2979, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9765, kappa: 0.8692, kb_relative_information_score: 1647.9343, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9764, predictive_accuracy: 0.9765, prior_entropy: 0.4703, recall: 0.9765, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.511, scimark_benchmark: 1351.788, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9904, kappa: 0.9466, kb_relative_information_score: 1854.4726, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3249, scimark_benchmark: 1353.5686, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.989, kappa: 0.9389, kb_relative_information_score: 1827.213, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3498, scimark_benchmark: 1605.6303, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9849, kappa: 0.9181, kb_relative_information_score: 1759.2158, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9859, predictive_accuracy: 0.9845, prior_entropy: 0.4703, recall: 0.9845, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.4096, scimark_benchmark: 927.0753, usercpu_time_millis: 5910, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9901, kappa: 0.9457, kb_relative_information_score: 1844.7553, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9903, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3096, scimark_benchmark: 938.2848, usercpu_time_millis: 13000, usercpu_time_millis_testing: 3950, usercpu_time_millis_training: 9050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9955, kappa: 0.9751, kb_relative_information_score: 1910.816, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.2155, scimark_benchmark: 941.7954, usercpu_time_millis: 7880, usercpu_time_millis_testing: 2290, usercpu_time_millis_training: 5590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.994, kappa: 0.9671, kb_relative_information_score: 1877.7457, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.2468, scimark_benchmark: 945.6434, usercpu_time_millis: 7600, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 5480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9931, kappa: 0.9618, kb_relative_information_score: 1863.2456, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9932, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2679, scimark_benchmark: 934.5243, usercpu_time_millis: 7510, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 5440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.6745, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1651, scimark_benchmark: 911.3823, usercpu_time_millis: 15930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1960.5153, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.157, scimark_benchmark: 943.2817, usercpu_time_millis: 7790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9945, kappa: 0.9691, kb_relative_information_score: 1914.3021, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.2265, scimark_benchmark: 936.6206, usercpu_time_millis: 3920, usercpu_time_millis_training: 3920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.991, kappa: 0.9498, kb_relative_information_score: 1867.6765, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2951, scimark_benchmark: 922.9039, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9797, kappa: 0.8883, kb_relative_information_score: 1693.4849, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.98, predictive_accuracy: 0.9795, prior_entropy: 0.4703, recall: 0.9795, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4498, scimark_benchmark: 938.4285, usercpu_time_millis: 990, usercpu_time_millis_training: 990,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1956.7259, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1621, scimark_benchmark: 924.6116, usercpu_time_millis: 8020, usercpu_time_millis_training: 8020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.7281, build_memory: 490344433.6, f_measure: 0.9944, kappa: 0.9687, kb_relative_information_score: 1760.376, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2627, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 0.6977, build_memory: 609021313.6, f_measure: 0.9944, kappa: 0.9687, kb_relative_information_score: 1760.376, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2627, scimark_benchmark: 946.4503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, build_cpu_time: 10.991, build_memory: 416435145.6, f_measure: 0.9872, kappa: 0.9275, kb_relative_information_score: 1808.4854, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.4703, recall: 0.9875, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3737, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 5.1102, build_memory: 1102615176, f_measure: 0.9867, kappa: 0.9248, kb_relative_information_score: 1807.582, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.4703, recall: 0.987, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3663, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, build_cpu_time: 2.4212, build_memory: 961944292, f_measure: 0.9846, kappa: 0.9124, kb_relative_information_score: 1774.3391, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4001, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, build_cpu_time: 1.3298, build_memory: 1327113400.8, f_measure: 0.9836, kappa: 0.907, kb_relative_information_score: 1757.5343, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9838, predictive_accuracy: 0.984, prior_entropy: 0.4703, recall: 0.984, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4112, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, build_cpu_time: 0.6768, build_memory: 606782320, f_measure: 0.983, kappa: 0.9034, kb_relative_information_score: 1728.9533, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9834, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4155, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 4.1443, build_memory: 630645825.6, f_measure: 0.9926, kappa: 0.959, kb_relative_information_score: 1844.4687, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9927, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.281, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 6.5836, build_memory: 1315930144.8, f_measure: 0.993, kappa: 0.9616, kb_relative_information_score: 1863.2571, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.2649, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 7.5846, build_memory: 799991877.6, f_measure: 0.9931, kappa: 0.9618, kb_relative_information_score: 1863.1672, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9932, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2679, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 3195.2585, build_memory: 489957032, f_measure: 0.994, kappa: 0.9664, kb_relative_information_score: 1896.7392, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.2505, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 10.076, build_memory: 1992363603.2, f_measure: 0.9936, kappa: 0.9644, kb_relative_information_score: 1870.7233, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2566, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 12645.0761, build_memory: 789054464.8, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1944.7173, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1915, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 51614.6316, build_memory: 881028906.4, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7405, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 26412.7232, build_memory: 462580962.4, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7438, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1666, scimark_benchmark: 888.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 1106.8985, build_memory: 160611130.4, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 575.2179, build_memory: 359520504.8, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 145.8427, build_memory: 1083612907.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4498, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 80.9642, build_memory: 1140194507.2, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4531, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 45.4961, build_memory: 997960037.6, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1954.1471, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1722, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, build_cpu_time: 84.9539, build_memory: 1323590155.2, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1942.9432, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 168.0457, build_memory: 365347520.8, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7416, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, build_cpu_time: 336.7627, build_memory: 641581214.4, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1950.3654, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1826, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 612.4701, build_memory: 314957941.6, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 97.6044, build_memory: 989861627.2, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1962.705, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1545, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 31.8374, build_memory: 623366096.8, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1948.6968, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.1848, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 17.2546, build_memory: 1469676260, f_measure: 0.996, kappa: 0.9775, kb_relative_information_score: 1935.585, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.4703, recall: 0.996, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.063, root_relative_squared_error: 0.2099, scimark_benchmark: 936.1433,

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