OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 1894 Supervised Classification mfeat-fourier 170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7315, kappa: 0.7127, kb_relative_information_score: 14418.1031, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7332, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256, scimark_benchmark: 833.3193, usercpu_time_millis: 5930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8304, kappa: 0.8117, kb_relative_information_score: 16793.3135, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8307, predictive_accuracy: 0.8306, prior_entropy: 3.3219, recall: 0.8306, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5197, scimark_benchmark: 854.5188, usercpu_time_millis: 36710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 36680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8188, kappa: 0.8015, kb_relative_information_score: 14927.1893, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8187, predictive_accuracy: 0.8214, prior_entropy: 3.3219, recall: 0.8214, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5589, scimark_benchmark: 1324.5988, usercpu_time_millis: 3520, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6839, kappa: 0.6504, kb_relative_information_score: 13535.9739, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6828, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7771, scimark_benchmark: 1347.388, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8259, kappa: 0.8092, kb_relative_information_score: 14950.9884, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8259, predictive_accuracy: 0.8283, prior_entropy: 3.3219, recall: 0.8283, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5563, scimark_benchmark: 935.5075, usercpu_time_millis: 8260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.7592, kappa: 0.7264, kb_relative_information_score: 14963.3973, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7783, predictive_accuracy: 0.7538, prior_entropy: 3.3219, recall: 0.7538, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7253, scimark_benchmark: 904.3681, usercpu_time_millis: 936030, usercpu_time_millis_testing: 936030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8005, kappa: 0.7768, kb_relative_information_score: 15764.5677, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8038, predictive_accuracy: 0.7991, prior_entropy: 3.3219, recall: 0.7991, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6663, scimark_benchmark: 1313.0885, usercpu_time_millis: 1800, usercpu_time_millis_testing: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1340.9497, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.773, kappa: 0.7565, kb_relative_information_score: 15416.4449, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7693, predictive_accuracy: 0.7809, prior_entropy: 3.3219, recall: 0.7809, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.6979, scimark_benchmark: 765.566, usercpu_time_millis: 30770, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7239, kappa: 0.6952, kb_relative_information_score: 14198.604, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7239, predictive_accuracy: 0.7257, prior_entropy: 3.3219, recall: 0.7257, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.6838, scimark_benchmark: 1321.5205, usercpu_time_millis: 4320, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8204, kappa: 0.8007, kb_relative_information_score: 16353.1384, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8203, predictive_accuracy: 0.8207, prior_entropy: 3.3219, recall: 0.8207, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6112, scimark_benchmark: 1305.7138, usercpu_time_millis: 4520, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.782, kappa: 0.7622, kb_relative_information_score: 15659.411, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7804, predictive_accuracy: 0.786, prior_entropy: 3.3219, recall: 0.786, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6223, scimark_benchmark: 1323.7742, usercpu_time_millis: 19370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 19350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8217, kappa: 0.8014, kb_relative_information_score: 16570.1689, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8226, predictive_accuracy: 0.8213, prior_entropy: 3.3219, recall: 0.8213, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5722, scimark_benchmark: 1327.2954, usercpu_time_millis: 43990, usercpu_time_millis_training: 43990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8148, kappa: 0.7935, kb_relative_information_score: 16487.4594, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8157, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5634, scimark_benchmark: 1339.8573, usercpu_time_millis: 22420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8069, kappa: 0.7848, kb_relative_information_score: 16295.9164, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8077, predictive_accuracy: 0.8064, prior_entropy: 3.3219, recall: 0.8064, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5595, scimark_benchmark: 1334.2813, usercpu_time_millis: 11410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8093, kappa: 0.7888, kb_relative_information_score: 15812.2324, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.538, scimark_benchmark: 1351.6526, usercpu_time_millis: 10010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8131, kappa: 0.7936, kb_relative_information_score: 16513.0047, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8134, predictive_accuracy: 0.8142, prior_entropy: 3.3219, recall: 0.8142, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5789, scimark_benchmark: 1059.8591, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.6224, kappa: 0.5808, kb_relative_information_score: 12201.8487, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6224, predictive_accuracy: 0.6227, prior_entropy: 3.3219, recall: 0.6227, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.8745, scimark_benchmark: 1353.3179, usercpu_time_millis: 540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6839, kappa: 0.6504, kb_relative_information_score: 13535.9739, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6828, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7771, scimark_benchmark: 889.3151, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.7632, kappa: 0.7361, kb_relative_information_score: 15464.2044, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7697, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6637, scimark_benchmark: 1360.5374, usercpu_time_millis: 420, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.7632, kappa: 0.7361, kb_relative_information_score: 15464.131, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7696, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6637, scimark_benchmark: 889.3151, usercpu_time_millis: 350, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.4812, kappa: 0.4927, kb_relative_information_score: 8090.3862, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4774, predictive_accuracy: 0.5435, prior_entropy: 3.3219, recall: 0.5435, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8331, scimark_benchmark: 1358.4523, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8191, kappa: 0.8017, kb_relative_information_score: 16266.6458, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8188, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6298, scimark_benchmark: 854.5188, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.5123, kappa: 0.455, kb_relative_information_score: 492.9709, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6158, predictive_accuracy: 0.5095, prior_entropy: 3.3219, recall: 0.5095, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9937, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.0893, kappa: 0.108, kb_relative_information_score: 4917.8522, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1099, predictive_accuracy: 0.1972, prior_entropy: 3.3219, recall: 0.1972, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.9574, scimark_benchmark: 1264.6103, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.6275, kappa: 0.5937, kb_relative_information_score: 10076.1284, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.631, predictive_accuracy: 0.6343, prior_entropy: 3.3219, recall: 0.6343, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638, scimark_benchmark: 1334.8272, usercpu_time_millis: 1880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.7626, kappa: 0.7353, kb_relative_information_score: 15465.759, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.769, predictive_accuracy: 0.7618, prior_entropy: 3.3219, recall: 0.7618, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.199, root_relative_squared_error: 0.6635, scimark_benchmark: 1325.5087, usercpu_time_millis: 1480, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7315, kappa: 0.7127, kb_relative_information_score: 14418.1031, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7332, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256, scimark_benchmark: 1307.8775, usercpu_time_millis: 6030, usercpu_time_millis_training: 6030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8156, kappa: 0.7981, kb_relative_information_score: 14925.8216, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8153, predictive_accuracy: 0.8183, prior_entropy: 3.3219, recall: 0.8183, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5622, scimark_benchmark: 1323.237, usercpu_time_millis: 1320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8088, kappa: 0.7907, kb_relative_information_score: 14850.0858, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8082, predictive_accuracy: 0.8116, prior_entropy: 3.3219, recall: 0.8116, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5705, scimark_benchmark: 1323.237, usercpu_time_millis: 660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7833, kappa: 0.7594, kb_relative_information_score: 15596.1836, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.5751, scimark_benchmark: 1363.434, usercpu_time_millis: 2920, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8084, kappa: 0.7876, kb_relative_information_score: 15797.3173, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8093, predictive_accuracy: 0.8088, prior_entropy: 3.3219, recall: 0.8088, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5401, scimark_benchmark: 1351.6225, usercpu_time_millis: 4420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.796, kappa: 0.7739, kb_relative_information_score: 15702.8746, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7968, predictive_accuracy: 0.7966, prior_entropy: 3.3219, recall: 0.7966, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5542, scimark_benchmark: 1306.8368, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7282, kappa: 0.699, kb_relative_information_score: 14543.42, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7276, predictive_accuracy: 0.7291, prior_entropy: 3.3219, recall: 0.7291, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7497, scimark_benchmark: 1332.4146, usercpu_time_millis: 1149110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1149070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8005, kappa: 0.7768, kb_relative_information_score: 15798.1464, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8038, predictive_accuracy: 0.7991, prior_entropy: 3.3219, recall: 0.7991, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6682, scimark_benchmark: 876.0664, usercpu_time_millis: 5520, usercpu_time_millis_testing: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.6878, kappa: 0.6643, kb_relative_information_score: 2592.9136, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6933, predictive_accuracy: 0.6979, prior_entropy: 3.3219, recall: 0.6979, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9835, scimark_benchmark: 876.0664, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8028, kappa: 0.7815, kb_relative_information_score: 15761.2688, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8036, predictive_accuracy: 0.8034, prior_entropy: 3.3219, recall: 0.8034, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5449, scimark_benchmark: 1369.9744, usercpu_time_millis: 2480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.7658, kappa: 0.7407, kb_relative_information_score: 15319.6722, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7657, predictive_accuracy: 0.7667, prior_entropy: 3.3219, recall: 0.7667, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6768, scimark_benchmark: 1336.2509, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1336.2509, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1442.7264, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.0693, kappa: 0.1076, kb_relative_information_score: 4777.9437, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.0562, predictive_accuracy: 0.1969, prior_entropy: 3.3219, recall: 0.1969, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 876.0664, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8091, kappa: 0.7881, kb_relative_information_score: 16631.2816, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8123, predictive_accuracy: 0.8093, prior_entropy: 3.3219, recall: 0.8093, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5355, scimark_benchmark: 1324.8395, usercpu_time_millis: 4330, usercpu_time_millis_testing: 4330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8129, kappa: 0.7929, kb_relative_information_score: 16624.3973, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8157, predictive_accuracy: 0.8137, prior_entropy: 3.3219, recall: 0.8137, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.556, scimark_benchmark: 937.6212, usercpu_time_millis: 4300, usercpu_time_millis_testing: 4290, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.7753, kappa: 0.7505, kb_relative_information_score: 5578.1118, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7799, predictive_accuracy: 0.7755, prior_entropy: 3.3219, recall: 0.7755, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9181, scimark_benchmark: 894.7222, usercpu_time_millis: 14940, usercpu_time_millis_testing: 12590, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8378, kappa: 0.8205, kb_relative_information_score: 5761.8296, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8378, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9129, scimark_benchmark: 1312.3073, usercpu_time_millis: 990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8212, kappa: 0.802, kb_relative_information_score: 16580.6281, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8212, predictive_accuracy: 0.8218, prior_entropy: 3.3219, recall: 0.8218, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5163, scimark_benchmark: 885.0921, usercpu_time_millis: 7990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.819, kappa: 0.8016, kb_relative_information_score: 16265.6, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8187, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6299, scimark_benchmark: 939.449, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7634, kappa: 0.7363, kb_relative_information_score: 15035.7892, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7724, predictive_accuracy: 0.7627, prior_entropy: 3.3219, recall: 0.7627, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.7263, scimark_benchmark: 1337.7959, usercpu_time_millis: 10820, usercpu_time_millis_testing: 7210, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.772, kappa: 0.7481, kb_relative_information_score: 15658.25, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7746, predictive_accuracy: 0.7733, prior_entropy: 3.3219, recall: 0.7733, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6429, scimark_benchmark: 1307.4861, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.6815, kappa: 0.6459, kb_relative_information_score: 12880.7991, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6835, predictive_accuracy: 0.6813, prior_entropy: 3.3219, recall: 0.6813, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7387, scimark_benchmark: 1325.942, usercpu_time_millis: 202370, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 200530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8341, kappa: 0.8169, kb_relative_information_score: 15076.6726, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.834, predictive_accuracy: 0.8352, prior_entropy: 3.3219, recall: 0.8352, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5505, scimark_benchmark: 1316.0472, usercpu_time_millis: 1900, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.6679, kappa: 0.6303, kb_relative_information_score: 13041.5297, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6686, predictive_accuracy: 0.6673, prior_entropy: 3.3219, recall: 0.6673, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.258, root_relative_squared_error: 0.8598, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.7588, kappa: 0.7338, kb_relative_information_score: 14977.5913, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7585, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6365, scimark_benchmark: 1319.9043, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.7566, kappa: 0.7289, kb_relative_information_score: 14715.1998, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7585, predictive_accuracy: 0.756, prior_entropy: 3.3219, recall: 0.756, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6525, scimark_benchmark: 825.5282, usercpu_time_millis: 3230, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7549, kappa: 0.7329, kb_relative_information_score: 14971.998, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7588, predictive_accuracy: 0.7596, prior_entropy: 3.3219, recall: 0.7596, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.7309, scimark_benchmark: 1320.2556, usercpu_time_millis: 3800, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 1810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.0285, kappa: 0.0058, kb_relative_information_score: 1285.1239, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.5101, predictive_accuracy: 0.1052, prior_entropy: 3.3219, recall: 0.1052, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.423, root_relative_squared_error: 1.4101, scimark_benchmark: 1384.4418, usercpu_time_millis: 3370, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7458, kappa: 0.7184, kb_relative_information_score: 14948.36, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7472, predictive_accuracy: 0.7466, prior_entropy: 3.3219, recall: 0.7466, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.7124, scimark_benchmark: 1341.2341, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3573, kappa: 0.3188, kb_relative_information_score: 7176.9217, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3474, predictive_accuracy: 0.3869, prior_entropy: 3.3219, recall: 0.3869, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3502, root_relative_squared_error: 1.1672, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7353, kappa: 0.7052, kb_relative_information_score: 14451.2108, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7369, predictive_accuracy: 0.7347, prior_entropy: 3.3219, recall: 0.7347, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7678, scimark_benchmark: 1353.5686, usercpu_time_millis: 46310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 46300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7594, kappa: 0.7333, kb_relative_information_score: 15133.8459, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.7593, predictive_accuracy: 0.76, prior_entropy: 3.3219, recall: 0.76, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.6921, scimark_benchmark: 1028.5889, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 295.6415, build_memory: 542197891.28, f_measure: 0.8262, kappa: 0.807, kb_relative_information_score: 15637.943, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8272, predictive_accuracy: 0.8263, prior_entropy: 3.3219, recall: 0.8263, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.5289, scimark_benchmark: 946.2217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 476.2897, build_memory: 135707198.16, f_measure: 0.8265, kappa: 0.8075, kb_relative_information_score: 15640.8005, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8273, predictive_accuracy: 0.8268, prior_entropy: 3.3219, recall: 0.8268, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.5276, scimark_benchmark: 573.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 54.0981, build_memory: 112122342.64, f_measure: 0.8218, kappa: 0.8023, kb_relative_information_score: 16125.9556, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8224, predictive_accuracy: 0.8221, prior_entropy: 3.3219, recall: 0.8221, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5223, scimark_benchmark: 943.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 25.4856, build_memory: 702979469.2, f_measure: 0.8203, kappa: 0.8006, kb_relative_information_score: 16116.2089, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8209, predictive_accuracy: 0.8206, prior_entropy: 3.3219, recall: 0.8206, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5241, scimark_benchmark: 915.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, build_cpu_time: 18.761, build_memory: 2110911787.36, f_measure: 0.8184, kappa: 0.7984, kb_relative_information_score: 16090.682, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8191, predictive_accuracy: 0.8186, prior_entropy: 3.3219, recall: 0.8186, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5279, scimark_benchmark: 949.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, build_cpu_time: 6.6761, build_memory: 1049122995.2, f_measure: 0.8122, kappa: 0.7916, kb_relative_information_score: 16035.2193, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.8127, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5355, scimark_benchmark: 941.1244,

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