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OpenML
OpenML
Supervised Classification on mfeat-pixel

Supervised Classification on mfeat-pixel

Task 3885 Supervised Classification mfeat-pixel 527 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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527 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9901, kappa: 0.9459, kb_relative_information_score: 1710.047, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.084, root_relative_squared_error: 0.2801, scimark_benchmark: 940.3347, usercpu_time_millis: 13630, usercpu_time_millis_testing: 13630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9856, kappa: 0.921, kb_relative_information_score: 1780.709, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9859, predictive_accuracy: 0.9855, prior_entropy: 0.4703, recall: 0.9855, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4014, scimark_benchmark: 1324.8395, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9788, kappa: 0.8788, kb_relative_information_score: 1692.1925, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9792, predictive_accuracy: 0.9795, prior_entropy: 0.4703, recall: 0.9795, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4773, scimark_benchmark: 1312.3073, usercpu_time_millis: 11140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 11060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9934, kappa: 0.963, kb_relative_information_score: 1898.7308, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687, scimark_benchmark: 1336.3256, usercpu_time_millis: 24500, usercpu_time_millis_testing: 9170, usercpu_time_millis_training: 15330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.995, kappa: 0.9722, kb_relative_information_score: 1920.86, mean_absolute_error: 0.005, 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: 0.0277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357, scimark_benchmark: 1310.3951, usercpu_time_millis: 900, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.992, kappa: 0.9556, kb_relative_information_score: 1837.109, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.2562, scimark_benchmark: 1335.643, usercpu_time_millis: 22210, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 22040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.995, kappa: 0.9721, kb_relative_information_score: 1920.86, mean_absolute_error: 0.005, 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: 0.0277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357, scimark_benchmark: 939.449, usercpu_time_millis: 280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.8526, kb_relative_information_score: 400.5818, mean_absolute_error: 0.1191, 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: 0.6606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3095, root_relative_squared_error: 1.0316, scimark_benchmark: 934.6432, usercpu_time_millis: 55090, usercpu_time_millis_testing: 45990, usercpu_time_millis_training: 9100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9699, kappa: 0.8415, kb_relative_information_score: 1511.3893, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9736, predictive_accuracy: 0.9685, prior_entropy: 0.4703, recall: 0.9685, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5682, scimark_benchmark: 1355.9413, usercpu_time_millis: 10670, usercpu_time_millis_testing: 9770, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9903, kappa: 0.9452, kb_relative_information_score: 1854.4726, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9905, 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: 1372.2145, usercpu_time_millis: 12110, usercpu_time_millis_testing: 6250, usercpu_time_millis_training: 5860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9687, kappa: 0.8332, kb_relative_information_score: 1494.763, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9713, predictive_accuracy: 0.9675, prior_entropy: 0.4703, recall: 0.9675, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5822, scimark_benchmark: 1325.2092, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9854, kappa: 0.9212, kb_relative_information_score: 1772.3039, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9866, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3953, scimark_benchmark: 904.2311, usercpu_time_millis: 3060, usercpu_time_millis_testing: 2330, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9871, kappa: 0.9265, kb_relative_information_score: 1504.7214, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.4703, recall: 0.9875, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.3784, scimark_benchmark: 1307.4861, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9533, kappa: 0.7423, kb_relative_information_score: 1282.3623, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9537, predictive_accuracy: 0.953, prior_entropy: 0.4703, recall: 0.953, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6825, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9725, kappa: 0.8469, kb_relative_information_score: 1530.3689, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9724, predictive_accuracy: 0.9725, prior_entropy: 0.4703, recall: 0.9725, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4865, scimark_benchmark: 1315.3881, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.979, kappa: 0.8811, kb_relative_information_score: 1647.2936, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.9795, prior_entropy: 0.4703, recall: 0.9795, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4662, scimark_benchmark: 1355.7054, usercpu_time_millis: 7220, usercpu_time_millis_training: 7220,
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: 1292.2426, usercpu_time_millis: 1040, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.0302, kappa: 0.0013, kb_relative_information_score: -11194.3225, mean_absolute_error: 0.894, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.106, prior_entropy: 0.4703, recall: 0.106, relative_absolute_error: 4.9579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.9455, root_relative_squared_error: 3.1517, scimark_benchmark: 1292.2426, usercpu_time_millis: 59960, usercpu_time_millis_testing: 10050, usercpu_time_millis_training: 49910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9944, kappa: 0.9688, kb_relative_information_score: 1877.7737, mean_absolute_error: 0.01, 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: 0.0557, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.2444, scimark_benchmark: 1392.1129, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9236, kappa: 0.638, kb_relative_information_score: 725.8883, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9465, predictive_accuracy: 0.914, prior_entropy: 0.4703, recall: 0.914, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.9775, scimark_benchmark: 1384.4418, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
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: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.985, kappa: 0.9167, kb_relative_information_score: 1773.3326, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.4082, scimark_benchmark: 1353.5686, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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: 0.9785, f_measure: 0.9814, kappa: 0.8961, kb_relative_information_score: 1683.6552, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9813, predictive_accuracy: 0.9815, prior_entropy: 0.4703, recall: 0.9815, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.4349, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9884, kappa: 0.9348, kb_relative_information_score: 1828.6961, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.4703, recall: 0.9885, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.3385, scimark_benchmark: 931.2336, usercpu_time_millis: 1310, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9898, kappa: 0.9424, kb_relative_information_score: 1841.1068, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3367, scimark_benchmark: 876.8277, usercpu_time_millis: 5460, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9919, kappa: 0.9539, kb_relative_information_score: 1869.9482, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3019, scimark_benchmark: 942.3168, usercpu_time_millis: 10930, usercpu_time_millis_testing: 3510, usercpu_time_millis_training: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9924, kappa: 0.9573, kb_relative_information_score: 1872.9388, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2944, scimark_benchmark: 934.5243, usercpu_time_millis: 22760, usercpu_time_millis_testing: 8150, usercpu_time_millis_training: 14610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9945, kappa: 0.9694, kb_relative_information_score: 1910.2709, mean_absolute_error: 0.0058, 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: 0.0322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2356, scimark_benchmark: 939.7623, usercpu_time_millis: 2710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.995, kappa: 0.972, kb_relative_information_score: 1903.8503, mean_absolute_error: 0.0064, 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: 0.0357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.2384, scimark_benchmark: 936.6206, usercpu_time_millis: 1610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9893, kappa: 0.9397, kb_relative_information_score: 1850.8, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3051, scimark_benchmark: 876.8277, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8526, kb_relative_information_score: 517.2161, mean_absolute_error: 0.1003, 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: 0.5565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.0461, scimark_benchmark: 938.9865, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.3221, build_memory: 2346370892.8, f_measure: 0.9887, kappa: 0.9357, kb_relative_information_score: 1529.2143, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3733, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.3505, build_memory: 2387223204.8, f_measure: 0.9887, kappa: 0.9357, kb_relative_information_score: 1529.2143, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3733, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.4073, build_memory: 968867656, f_measure: 0.9887, kappa: 0.9357, kb_relative_information_score: 1529.2143, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3733, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 1.4007, build_memory: 911837372.8, f_measure: 0.9925, kappa: 0.9579, kb_relative_information_score: 1885.062, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2728, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, build_cpu_time: 0.6632, build_memory: 1342729437.6, f_measure: 0.993, kappa: 0.9606, kb_relative_information_score: 1884.0955, mean_absolute_error: 0.008, 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: 0.0443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.2654, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 0.4234, build_memory: 790890150.4, f_measure: 0.9904, kappa: 0.9459, kb_relative_information_score: 1849.6054, mean_absolute_error: 0.0106, 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: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, build_cpu_time: 0.2504, build_memory: 1295001632.8, f_measure: 0.9874, kappa: 0.9295, kb_relative_information_score: 1747.5689, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9874, predictive_accuracy: 0.9875, prior_entropy: 0.4703, recall: 0.9875, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3353, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, build_cpu_time: 0.193, build_memory: 1286365572.8, f_measure: 0.9754, kappa: 0.8605, kb_relative_information_score: 1517.5573, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9754, predictive_accuracy: 0.976, prior_entropy: 0.4703, recall: 0.976, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.427, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.8268, build_memory: 1312580796.8, f_measure: 0.9889, kappa: 0.9378, kb_relative_information_score: 1828.8241, mean_absolute_error: 0.0118, 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: 0.0652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.3324, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, build_cpu_time: 1.6468, build_memory: 645355168, f_measure: 0.9884, kappa: 0.9348, kb_relative_information_score: 1814.8995, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.4703, recall: 0.9885, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.355, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, build_cpu_time: 3.4329, build_memory: 1326107540.8, f_measure: 0.9924, kappa: 0.9575, kb_relative_information_score: 1873.0887, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2925, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, build_cpu_time: 6.6106, build_memory: 1511978836, f_measure: 0.9888, kappa: 0.9366, kb_relative_information_score: 1830.7948, mean_absolute_error: 0.0116, 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: 0.0646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.3471, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, build_cpu_time: 12.1106, build_memory: 198690181.6, f_measure: 0.9884, kappa: 0.9345, kb_relative_information_score: 1819.0238, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.4703, recall: 0.9885, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3603, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 972.2255, build_memory: 1017353807.2, f_measure: 0.9925, kappa: 0.9584, kb_relative_information_score: 1889.1895, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2554, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, build_cpu_time: 1754.8809, build_memory: 43643427.2, f_measure: 0.996, kappa: 0.9779, kb_relative_information_score: 1935.5338, mean_absolute_error: 0.0039, 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: 0.0217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1956, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 4005.4987, build_memory: 827024120, f_measure: 0.997, kappa: 0.9834, kb_relative_information_score: 1951.1616, mean_absolute_error: 0.0029, 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: 0.016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1756, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 7293.8419, build_memory: 113422113.6, f_measure: 0.998, kappa: 0.9889, kb_relative_information_score: 1965.171, mean_absolute_error: 0.002, 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: 0.011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1483, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 14423.9567, build_memory: 1633680728, f_measure: 0.998, kappa: 0.9889, kb_relative_information_score: 1965.1754, mean_absolute_error: 0.002, 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: 0.011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1484, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 4802.4607, build_memory: 392288024.8, f_measure: 0.994, kappa: 0.9667, kb_relative_information_score: 1906.1072, mean_absolute_error: 0.006, 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: 0.0333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, build_cpu_time: 2383.6222, build_memory: 453861688, f_measure: 0.994, kappa: 0.9668, kb_relative_information_score: 1907.9597, mean_absolute_error: 0.0058, 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: 0.032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.2505, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, build_cpu_time: 1328.5103, build_memory: 269952995.2, f_measure: 0.995, kappa: 0.9722, kb_relative_information_score: 1918.819, mean_absolute_error: 0.0051, 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: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.2361, scimark_benchmark: 929.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, build_cpu_time: 595.4891, build_memory: 1305299820, f_measure: 0.994, kappa: 0.9668, kb_relative_information_score: 1912.1856, mean_absolute_error: 0.0054, 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: 0.03, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2336, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 158.3523, build_memory: 904384758.4, f_measure: 0.994, kappa: 0.9662, kb_relative_information_score: 1911.5255, mean_absolute_error: 0.0059, 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: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.248, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, build_cpu_time: 322.6502, build_memory: 148669808.8, f_measure: 0.995, kappa: 0.972, kb_relative_information_score: 1919.2359, mean_absolute_error: 0.0052, 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: 0.0289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2376, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 727.1194, build_memory: 246753788, f_measure: 0.9945, kappa: 0.9691, kb_relative_information_score: 1916.8306, mean_absolute_error: 0.0054, 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: 0.0298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2414, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 2086.3453, build_memory: 1219799402.4, f_measure: 0.996, kappa: 0.9776, kb_relative_information_score: 1935.6125, 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: 0.0632, root_relative_squared_error: 0.2108, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 50.3029, build_memory: 212675999.2, f_measure: 0.9965, kappa: 0.9804, kb_relative_information_score: 1942.9912, 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: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 26.8535, build_memory: 1010623957.6, f_measure: 0.9965, kappa: 0.9804, kb_relative_information_score: 1942.989, 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: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 13.3491, build_memory: 1110059060, f_measure: 0.996, kappa: 0.9776, kb_relative_information_score: 1930.2747, mean_absolute_error: 0.0043, 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: 0.0241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.2136, scimark_benchmark: 943.4039,

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