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OpenML
Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 3834 Supervised Classification mfeat-fourier 553 runs submitted
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Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1970.7267, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0298, root_relative_squared_error: 0.0994, scimark_benchmark: 1304.9611, usercpu_time_millis: 3770, usercpu_time_millis_testing: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9905, kappa: 0.9471, 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: 1313.9994, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9944, kappa: 0.9687, 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: 869.6028, usercpu_time_millis: 1080, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1987.2473, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1944.6233, mean_absolute_error: 0.0047, 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: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1232, scimark_benchmark: 887.6719, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 939.449, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1957.0775, mean_absolute_error: 0.0044, 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: 0.0243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.1158, scimark_benchmark: 917.9672, usercpu_time_millis: 52790, usercpu_time_millis_testing: 2500, usercpu_time_millis_training: 50290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9871, kappa: 0.9265, kb_relative_information_score: 1810.2144, mean_absolute_error: 0.0125, 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: 0.0693, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3727, scimark_benchmark: 1331.6907, usercpu_time_millis: 2210, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9924, kappa: 0.9577, kb_relative_information_score: 1883.7297, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2719, scimark_benchmark: 934.0566, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1962.0198, mean_absolute_error: 0.0022, 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: 0.0122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.148, scimark_benchmark: 1363.434, usercpu_time_millis: 10330, usercpu_time_millis_testing: 8790, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1956.4957, mean_absolute_error: 0.0027, 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: 0.0148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1637, scimark_benchmark: 928.7845, usercpu_time_millis: 230, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1865.5634, mean_absolute_error: 0.0159, 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: 0.0883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1918, scimark_benchmark: 1307.4861, usercpu_time_millis: 550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9865, kappa: 0.9245, kb_relative_information_score: 1795.4617, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.9865, prior_entropy: 0.4703, recall: 0.9865, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3873, scimark_benchmark: 1306.6379, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9896, kappa: 0.9426, kb_relative_information_score: 1810.0684, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9897, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.3369, scimark_benchmark: 1306.6379, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9884, kappa: 0.9348, kb_relative_information_score: 1811.6255, mean_absolute_error: 0.0138, 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: 0.0763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.3505, scimark_benchmark: 1355.7054, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9913, kappa: 0.9509, kb_relative_information_score: 1869.2254, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3073, scimark_benchmark: 1291.6995, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
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: 1287.514, usercpu_time_millis: 20290, usercpu_time_millis_testing: 3450, usercpu_time_millis_training: 16840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9935, kappa: 0.9636, kb_relative_information_score: 1895.3353, mean_absolute_error: 0.0071, 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: 0.0391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687, scimark_benchmark: 1358.4523, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9785, kappa: 0.8803, kb_relative_information_score: 1677.4398, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9785, predictive_accuracy: 0.9785, prior_entropy: 0.4703, recall: 0.9785, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4888, scimark_benchmark: 1351.788, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9909, kappa: 0.9489, kb_relative_information_score: 1861.849, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162, scimark_benchmark: 1353.5686, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.994, kappa: 0.9664, kb_relative_information_score: 1893.5587, mean_absolute_error: 0.008, 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: 0.0446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.258, scimark_benchmark: 1353.5686, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.995, kappa: 0.9718, kb_relative_information_score: 1923.5535, mean_absolute_error: 0.0049, 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: 0.027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2298, scimark_benchmark: 931.2336, usercpu_time_millis: 2060, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9965, kappa: 0.9804, kb_relative_information_score: 1943.8573, 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: 0.0187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.191, scimark_benchmark: 945.6434, usercpu_time_millis: 4310, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 3030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1965.6724, mean_absolute_error: 0.0019, 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: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1417, scimark_benchmark: 941.7954, usercpu_time_millis: 9190, usercpu_time_millis_testing: 2650, usercpu_time_millis_training: 6540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8627, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054, scimark_benchmark: 945.6434, usercpu_time_millis: 18520, usercpu_time_millis_testing: 5600, usercpu_time_millis_training: 12920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4935, 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: 934.5243, usercpu_time_millis: 6510, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 4520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.1742, mean_absolute_error: 0.0016, 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: 0.0086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.1292, scimark_benchmark: 911.3823, usercpu_time_millis: 11400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7449, 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: 938.2848, usercpu_time_millis: 5070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1962.955, mean_absolute_error: 0.0026, 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: 0.0142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1515, scimark_benchmark: 938.2848, usercpu_time_millis: 2550, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9965, kappa: 0.9805, kb_relative_information_score: 1941.0237, mean_absolute_error: 0.0038, 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: 0.0209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1954, scimark_benchmark: 922.9039, usercpu_time_millis: 1460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, build_cpu_time: 0.0155, build_memory: 1424348880, f_measure: 0.9884, kappa: 0.9354, kb_relative_information_score: 1824.9672, mean_absolute_error: 0.0115, 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: 0.0638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.3575, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.65, build_memory: 723903907.2, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1863.4939, mean_absolute_error: 0.0158, 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: 0.0878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1986, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.6169, build_memory: 1156647707.2, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1863.4939, mean_absolute_error: 0.0158, 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: 0.0878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1986, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.6012, build_memory: 334136866.4, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1863.4939, mean_absolute_error: 0.0158, 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: 0.0878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1986, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.5937, build_memory: 589072909.6, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1863.4939, mean_absolute_error: 0.0158, 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: 0.0878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1986, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.6016, build_memory: 1581817903.2, f_measure: 0.997, kappa: 0.9831, kb_relative_information_score: 1863.4939, mean_absolute_error: 0.0158, 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: 0.0878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1986, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, build_cpu_time: 4.4379, build_memory: 856257443.2, f_measure: 0.9955, kappa: 0.9745, kb_relative_information_score: 1928.2061, mean_absolute_error: 0.0045, 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: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 2.2052, build_memory: 957391029.6, f_measure: 0.9955, kappa: 0.9745, kb_relative_information_score: 1928.0743, mean_absolute_error: 0.0045, 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: 0.0251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 1.1497, build_memory: 772981294.4, f_measure: 0.9929, kappa: 0.9602, kb_relative_information_score: 1896.0323, mean_absolute_error: 0.0069, 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: 0.0383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2662, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, build_cpu_time: 0.6004, build_memory: 1401745284.8, f_measure: 0.9899, kappa: 0.9437, kb_relative_information_score: 1846.8479, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3209, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.3076, build_memory: 639396136, f_measure: 0.9814, kappa: 0.8956, kb_relative_information_score: 1735.8201, mean_absolute_error: 0.0177, 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: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4171, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 1.5336, build_memory: 1941133645.6, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1956.4734, mean_absolute_error: 0.0027, 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: 0.0149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.168, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 2.907, build_memory: 805996541.6, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1975.4717, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0327, root_relative_squared_error: 0.109, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 4.3465, build_memory: 1264726544.8, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4935, 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: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 5.3624, build_memory: 740772994.4, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4935, 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: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 5.6846, build_memory: 1749287092.8, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4935, 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: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2045.3545, build_memory: 740080761.6, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1966.9751, mean_absolute_error: 0.002, 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: 0.0113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.131, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 4027.544, build_memory: 67408644, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1961.2377, mean_absolute_error: 0.0024, 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: 0.0132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1579, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 8717.314, build_memory: 480366288, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1976.7929, mean_absolute_error: 0.0013, 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: 0.0074, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.1148, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 16188.6429, build_memory: 654336365.6, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4951, 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: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 33618.6047, build_memory: 481053867.2, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 340.3345, build_memory: 135404817.6, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1987.2518, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0744, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 177.7524, build_memory: 133824256, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 0.1053, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 93.1176, build_memory: 1887571367.2, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 0.1053, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 53.8745, build_memory: 89695655.2, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8754, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 0.1053, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 29.2686, build_memory: 659137269.6, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.875, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 0.1053, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 29.5755, build_memory: 433545977.6, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.2875, 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: 0.0085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 59.4254, build_memory: 347196712, f_measure: 0.9995, kappa: 0.9972, kb_relative_information_score: 1987.2473, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.4703, recall: 0.9995, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0745, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 118.5412, build_memory: 729603282.4, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 266.577, build_memory: 1188523233.6, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, 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: 934.8107,

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