OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 4539 Supervised Classification mfeat-fourier 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9928, kappa: 0.9598, kb_relative_information_score: 18828.9351, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9928, predictive_accuracy: 0.9929, prior_entropy: 0.4703, recall: 0.9929, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2661, scimark_benchmark: 918.0213, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 935.5075, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 918.0213, usercpu_time_millis: 270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1312.2688, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9942, kb_relative_information_score: 19760.0646, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9989, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0925, scimark_benchmark: 1313.5052, usercpu_time_millis: 38010, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 37200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9982, kappa: 0.99, kb_relative_information_score: 19684.7858, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.4703, recall: 0.9982, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1333, scimark_benchmark: 1315.933, usercpu_time_millis: 952160, usercpu_time_millis_testing: 952160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 942.9708, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 926.6704, usercpu_time_millis: 280, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 1329.8902, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9928, kappa: 0.9598, kb_relative_information_score: 18828.9351, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9928, predictive_accuracy: 0.9929, prior_entropy: 0.4703, recall: 0.9929, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2661, scimark_benchmark: 1354.3488, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 1342.6911, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 1345.7204, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9799, kb_relative_information_score: 18857.2702, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796, scimark_benchmark: 1352.2099, usercpu_time_millis: 1620, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 1314.7093, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9799, kb_relative_information_score: 18857.2702, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796, scimark_benchmark: 892.0148, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 942.2229, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 19798.709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9962, kappa: 0.9786, kb_relative_information_score: 18303.8303, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.4703, recall: 0.9962, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.2112, scimark_benchmark: 1352.2099, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.9803, kb_relative_information_score: 18342.9821, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2053, scimark_benchmark: 943.1756, usercpu_time_millis: 5110, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 4880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 950.6776, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9993, kappa: 0.9961, kb_relative_information_score: 19809.0049, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.4703, recall: 0.9993, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0882, scimark_benchmark: 1264.0609, usercpu_time_millis: 1850, usercpu_time_millis_testing: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9784, kappa: 0.8814, kb_relative_information_score: 15635.8616, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9788, predictive_accuracy: 0.9782, prior_entropy: 0.4703, recall: 0.9782, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4728, scimark_benchmark: 906.4475, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9904, kappa: 0.9459, kb_relative_information_score: 18438.7609, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.4703, recall: 0.9906, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.3237, scimark_benchmark: 833.3193, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9806, kb_relative_information_score: 19166.3741, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.1754, scimark_benchmark: 883.2709, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9965, kappa: 0.9806, kb_relative_information_score: 18316.9481, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.2086, scimark_benchmark: 883.2709, usercpu_time_millis: 1210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.994, kappa: 0.9666, kb_relative_information_score: 18288.964, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.4703, recall: 0.9941, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2315, scimark_benchmark: 1320.9366, usercpu_time_millis: 3630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9928, kappa: 0.9598, kb_relative_information_score: 18828.9351, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9928, predictive_accuracy: 0.9929, prior_entropy: 0.4703, recall: 0.9929, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2661, scimark_benchmark: 1341.4232, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9901, kappa: 0.9445, kb_relative_information_score: 18222.6431, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.4703, recall: 0.9902, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 1347.388, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9984, kappa: 0.9913, kb_relative_information_score: 19727.0167, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.038, root_relative_squared_error: 0.1266, scimark_benchmark: 1449.4352, usercpu_time_millis: 4700, usercpu_time_millis_training: 4700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9936, kappa: 0.9641, kb_relative_information_score: 14764.2051, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9936, predictive_accuracy: 0.9937, prior_entropy: 0.4703, recall: 0.9937, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.305, scimark_benchmark: 1334.4761, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9784, kappa: 0.8812, kb_relative_information_score: 15950.8324, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9787, predictive_accuracy: 0.9782, prior_entropy: 0.4703, recall: 0.9782, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4571, scimark_benchmark: 961.21, usercpu_time_millis: 128460, usercpu_time_millis_testing: 128460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.9891, kb_relative_information_score: 19656.0085, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.998, predictive_accuracy: 0.9981, prior_entropy: 0.4703, recall: 0.9981, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1449, scimark_benchmark: 1334.2813, usercpu_time_millis: 10880, usercpu_time_millis_testing: 8750, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9978, kappa: 0.9877, kb_relative_information_score: 19600.3923, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.4703, recall: 0.9978, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1543, scimark_benchmark: 855.8522, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9907, kappa: 0.948, kb_relative_information_score: 18400.5177, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4703, recall: 0.9907, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3175, scimark_benchmark: 1346.4887, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9689, kappa: 0.8158, kb_relative_information_score: -72779.713, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.972, predictive_accuracy: 0.9711, prior_entropy: 0.4703, recall: 0.9711, relative_absolute_error: 2.518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.5162, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9761, kappa: 0.8689, kb_relative_information_score: 15279.887, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9766, predictive_accuracy: 0.9758, prior_entropy: 0.4703, recall: 0.9758, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4949, scimark_benchmark: 1316.5986, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9943, kappa: 0.9678, kb_relative_information_score: 19120.0322, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.4703, recall: 0.9943, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.2456, scimark_benchmark: 1326.014, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9942, kappa: 0.9676, kb_relative_information_score: 18974.0412, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.4703, recall: 0.9942, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2536, scimark_benchmark: 937.1527, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9984, kappa: 0.9913, kb_relative_information_score: 19720.0709, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1293, scimark_benchmark: 912.5006, usercpu_time_millis: 9710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9981, kappa: 0.9894, kb_relative_information_score: 19675.2739, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9981, predictive_accuracy: 0.9981, prior_entropy: 0.4703, recall: 0.9981, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.1397, scimark_benchmark: 825.5282, usercpu_time_millis: 5040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 19661.852, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1418, scimark_benchmark: 938.9967, usercpu_time_millis: 2500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9976, kappa: 0.9866, kb_relative_information_score: 19614.7596, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.4703, recall: 0.9976, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1459, scimark_benchmark: 930.5999, usercpu_time_millis: 1190, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9841, kb_relative_information_score: 19440.5668, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9971, predictive_accuracy: 0.9972, prior_entropy: 0.4703, recall: 0.9972, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1593, scimark_benchmark: 909.1698, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9969, kb_relative_information_score: 19629.2357, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.0782, scimark_benchmark: 883.2709, usercpu_time_millis: 3400, usercpu_time_millis_testing: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9992, kappa: 0.9953, kb_relative_information_score: 19711.5771, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.4703, recall: 0.9992, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0868, scimark_benchmark: 934.4732, usercpu_time_millis: 4410, usercpu_time_millis_testing: 4410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.99, kappa: 0.9443, kb_relative_information_score: 18470.9627, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1, root_relative_squared_error: 0.3333, scimark_benchmark: 854.5188, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9944, kappa: 0.9684, kb_relative_information_score: 19127.4595, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2483, scimark_benchmark: 1287.514, usercpu_time_millis: 860, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9992, kappa: 0.9953, kb_relative_information_score: 19820.8381, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9991, predictive_accuracy: 0.9992, prior_entropy: 0.4703, recall: 0.9992, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0972, scimark_benchmark: 1287.514, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.9919, kb_relative_information_score: 19113.2079, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9985, predictive_accuracy: 0.9986, prior_entropy: 0.4703, recall: 0.9986, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1386, scimark_benchmark: 906.4475, usercpu_time_millis: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 19798.709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 19585.9163, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1132, scimark_benchmark: 1386.5717, usercpu_time_millis: 65540, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 63740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9797, kb_relative_information_score: 18599.1015, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4703, recall: 0.9964, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.2002, scimark_benchmark: 1341.5768, usercpu_time_millis: 630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9851, kappa: 0.9171, kb_relative_information_score: 17755.455, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9851, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.4062, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9903, kappa: 0.9458, kb_relative_information_score: 18159.2764, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.4703, recall: 0.9903, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3232, scimark_benchmark: 1306.6379, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.989, kappa: 0.9385, kb_relative_information_score: 18165.81, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.4703, recall: 0.9891, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3454, scimark_benchmark: 1310.3951, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9892, kappa: 0.9388, kb_relative_information_score: 18397.199, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3416, scimark_benchmark: 1359.379, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.029, kappa: 0.0012, kb_relative_information_score: -112031.7411, mean_absolute_error: 0.8946, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9101, predictive_accuracy: 0.1054, prior_entropy: 0.4703, recall: 0.1054, relative_absolute_error: 4.9612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.9458, root_relative_squared_error: 3.1528, scimark_benchmark: 1325.2092, usercpu_time_millis: 17050, usercpu_time_millis_testing: 2670, usercpu_time_millis_training: 14380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9935, kappa: 0.9638, kb_relative_information_score: 18955.3418, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9935, predictive_accuracy: 0.9936, prior_entropy: 0.4703, recall: 0.9936, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.2655, scimark_benchmark: 1330.0803, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.978, kappa: 0.8775, kb_relative_information_score: 16700.6344, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.4703, recall: 0.978, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4944, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9928, kappa: 0.9597, kb_relative_information_score: 18884.0393, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.4703, recall: 0.9928, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2828, scimark_benchmark: 1341.2341, 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: -21.7023, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, 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: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9933, kappa: 0.9629, kb_relative_information_score: 18851.0445, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9933, predictive_accuracy: 0.9934, prior_entropy: 0.4703, recall: 0.9934, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2716, scimark_benchmark: 1445.6675, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.5456, build_memory: 1016084848.72, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4328, build_memory: 851720546, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4366, build_memory: 1553946800.08, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4363, build_memory: 330378273.68, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4494, build_memory: 669065231.52, f_measure: 0.9965, kappa: 0.9807, kb_relative_information_score: 19258.2311, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9965, predictive_accuracy: 0.9966, prior_entropy: 0.4703, recall: 0.9966, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1717, scimark_benchmark: 941.8931,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs