OpenML
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 1822 Supervised Classification waveform-5000 323 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7691, kappa: 0.6565, kb_relative_information_score: 17166.6901, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7737, predictive_accuracy: 0.7709, prior_entropy: 1.5849, recall: 0.7709, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8291, scimark_benchmark: 1028.5889, usercpu_time_millis: 3650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.1711, kb_relative_information_score: 2.3179, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7481, kappa: 0.6221, kb_relative_information_score: 16215.3636, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7481, predictive_accuracy: 0.7481, prior_entropy: 1.5849, recall: 0.7481, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8435, scimark_benchmark: 977.6382, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 4.063, build_memory: 2044099521.6, f_measure: 0.8593, kappa: 0.7893, kb_relative_information_score: 19046.6049, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8598, predictive_accuracy: 0.8595, prior_entropy: 1.5849, recall: 0.8595, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5922, scimark_benchmark: 922.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 4.1447, build_memory: 1020232046.4, f_measure: 0.8593, kappa: 0.7893, kb_relative_information_score: 19046.6049, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8598, predictive_accuracy: 0.8595, prior_entropy: 1.5849, recall: 0.8595, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5922, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 3.7153, build_memory: 872829535.2, f_measure: 0.8593, kappa: 0.7893, kb_relative_information_score: 19046.6049, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8598, predictive_accuracy: 0.8595, prior_entropy: 1.5849, recall: 0.8595, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5922, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 3.6426, build_memory: 962927441.6, f_measure: 0.8593, kappa: 0.7893, kb_relative_information_score: 19046.6049, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8598, predictive_accuracy: 0.8595, prior_entropy: 1.5849, recall: 0.8595, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5922, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, build_cpu_time: 3.3421, build_memory: 640023497.6, f_measure: 0.8595, kappa: 0.7896, kb_relative_information_score: 19029.4263, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8599, predictive_accuracy: 0.8597, prior_entropy: 1.5849, recall: 0.8597, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5919, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 1.693, build_memory: 1299430475.2, f_measure: 0.8105, kappa: 0.716, kb_relative_information_score: 18272.9234, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8105, predictive_accuracy: 0.8106, prior_entropy: 1.5849, recall: 0.8106, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6823, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, build_cpu_time: 3.2187, build_memory: 853423987.2, f_measure: 0.8194, kappa: 0.7293, kb_relative_information_score: 18715.0491, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8194, predictive_accuracy: 0.8195, prior_entropy: 1.5849, recall: 0.8195, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6786, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, build_cpu_time: 5.6623, build_memory: 1062476695.2, f_measure: 0.8297, kappa: 0.7448, kb_relative_information_score: 19161.7924, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8297, predictive_accuracy: 0.8298, prior_entropy: 1.5849, recall: 0.8298, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6714, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, build_cpu_time: 12.9577, build_memory: 121155051.2, f_measure: 0.8388, kappa: 0.7585, kb_relative_information_score: 19489.876, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8389, predictive_accuracy: 0.839, prior_entropy: 1.5849, recall: 0.839, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6681, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, build_cpu_time: 26.8997, build_memory: 94581350.4, f_measure: 0.8454, kappa: 0.7685, kb_relative_information_score: 19718.194, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8456, predictive_accuracy: 0.8456, prior_entropy: 1.5849, recall: 0.8456, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6648, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0494, build_memory: 289159748.8, f_measure: 0.7116, kappa: 0.5673, kb_relative_information_score: 15129.5501, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7117, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9303, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0556, build_memory: 2501283518.4, f_measure: 0.7116, kappa: 0.5673, kb_relative_information_score: 15129.5501, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7117, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9303, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0495, build_memory: 2195347798.4, f_measure: 0.7116, kappa: 0.5673, kb_relative_information_score: 15129.5501, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7117, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9303, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.035, build_memory: 1627576612.8, f_measure: 0.7116, kappa: 0.5673, kb_relative_information_score: 15129.5501, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7117, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9303, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, build_cpu_time: 0.0374, build_memory: 883720980, f_measure: 0.7116, kappa: 0.5673, kb_relative_information_score: 15129.5501, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7117, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9303, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 1.7971, build_memory: 1285745010.4, f_measure: 0.8493, kappa: 0.7749, kb_relative_information_score: 16113.0975, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8507, predictive_accuracy: 0.8499, prior_entropy: 1.5849, recall: 0.8499, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5965, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 1.8733, build_memory: 2489321225.6, f_measure: 0.8493, kappa: 0.7749, kb_relative_information_score: 16113.0975, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8507, predictive_accuracy: 0.8499, prior_entropy: 1.5849, recall: 0.8499, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5965, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 1.6954, build_memory: 1423120387.2, f_measure: 0.8493, kappa: 0.7749, kb_relative_information_score: 16113.0975, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8507, predictive_accuracy: 0.8499, prior_entropy: 1.5849, recall: 0.8499, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5965, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 1.836, build_memory: 1071288657.6, f_measure: 0.8493, kappa: 0.7749, kb_relative_information_score: 16113.0975, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8507, predictive_accuracy: 0.8499, prior_entropy: 1.5849, recall: 0.8499, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5965, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, build_cpu_time: 2.0488, build_memory: 1258182220.8, f_measure: 0.8493, kappa: 0.7749, kb_relative_information_score: 16113.0975, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8507, predictive_accuracy: 0.8499, prior_entropy: 1.5849, recall: 0.8499, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5965, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, build_cpu_time: 4.3722, build_memory: 177260671.2, f_measure: 0.7611, kappa: 0.6431, kb_relative_information_score: 16744.2501, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7615, predictive_accuracy: 0.762, prior_entropy: 1.5849, recall: 0.762, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7854, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, build_cpu_time: 2.1141, build_memory: 968982340.8, f_measure: 0.7484, kappa: 0.6246, kb_relative_information_score: 16073.2719, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7492, predictive_accuracy: 0.7497, prior_entropy: 1.5849, recall: 0.7497, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7709, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 1.049, build_memory: 1563174701.6, f_measure: 0.7278, kappa: 0.5936, kb_relative_information_score: 14697.6881, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.728, predictive_accuracy: 0.729, prior_entropy: 1.5849, recall: 0.729, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.765, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, build_cpu_time: 0.4882, build_memory: 452006623.2, f_measure: 0.6997, kappa: 0.5509, kb_relative_information_score: 12295.3268, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6995, predictive_accuracy: 0.7006, prior_entropy: 1.5849, recall: 0.7006, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7845, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, build_cpu_time: 0.254, build_memory: 1084378656, f_measure: 0.6472, kappa: 0.4717, kb_relative_information_score: 9002.102, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.6468, predictive_accuracy: 0.6478, prior_entropy: 1.5849, recall: 0.6478, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.837, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 1.2356, build_memory: 846374208, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 15606.6954, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6765, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 1.4359, build_memory: 899079224, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 15621.2155, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6763, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 1.5165, build_memory: 1251046183.2, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 15621.2155, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6763, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 1.6327, build_memory: 387254648, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 15621.2155, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6763, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 1.5636, build_memory: 828232344, f_measure: 0.788, kappa: 0.7006, kb_relative_information_score: 15621.2155, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8348, predictive_accuracy: 0.8001, prior_entropy: 1.5849, recall: 0.8001, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6763, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, build_cpu_time: 658.2119, build_memory: 34587000, f_measure: 0.6849, kappa: 0.5263, kb_relative_information_score: 9047.3176, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7173, predictive_accuracy: 0.6847, prior_entropy: 1.5849, recall: 0.6847, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.8032, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, build_cpu_time: 624.1931, build_memory: 757501192, f_measure: 0.6849, kappa: 0.5263, kb_relative_information_score: 9047.3176, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7173, predictive_accuracy: 0.6847, prior_entropy: 1.5849, recall: 0.6847, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.8032, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, build_cpu_time: 647.4307, build_memory: 1170509568, f_measure: 0.6849, kappa: 0.5263, kb_relative_information_score: 9047.3176, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.7173, predictive_accuracy: 0.6847, prior_entropy: 1.5849, recall: 0.6847, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.8032, scimark_benchmark: 943.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, build_cpu_time: 4.713, build_memory: 276824399.2, f_measure: 0.8606, kappa: 0.7913, kb_relative_information_score: 13629.0808, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.861, predictive_accuracy: 0.8608, prior_entropy: 1.5849, recall: 0.8608, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.68, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, build_cpu_time: 10.4076, build_memory: 855764227.2, f_measure: 0.8609, kappa: 0.7918, kb_relative_information_score: 13628.5718, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8614, predictive_accuracy: 0.8612, prior_entropy: 1.5849, recall: 0.8612, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6799, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, build_cpu_time: 33.2622, build_memory: 485736642.4, f_measure: 0.861, kappa: 0.7919, kb_relative_information_score: 13629.3584, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8615, predictive_accuracy: 0.8612, prior_entropy: 1.5849, recall: 0.8612, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, build_cpu_time: 9.9017, build_memory: 551806095.2, f_measure: 0.8324, kappa: 0.7493, kb_relative_information_score: 16332.1736, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8331, predictive_accuracy: 0.8328, prior_entropy: 1.5849, recall: 0.8328, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6029, scimark_benchmark: 946.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, build_cpu_time: 4.8857, build_memory: 755265719.2, f_measure: 0.8303, kappa: 0.7463, kb_relative_information_score: 16314.0272, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8311, predictive_accuracy: 0.8308, prior_entropy: 1.5849, recall: 0.8308, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.6048, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, build_cpu_time: 1.366, build_memory: 792054488.8, f_measure: 0.8239, kappa: 0.7366, kb_relative_information_score: 16265.3686, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 1.5849, recall: 0.8244, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6132, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, build_cpu_time: 0.9613, build_memory: 124405813.6, f_measure: 0.8422, kappa: 0.764, kb_relative_information_score: 16048.1865, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8429, predictive_accuracy: 0.8426, prior_entropy: 1.5849, recall: 0.8426, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6037, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, build_cpu_time: 1.9302, build_memory: 1075438655.2, f_measure: 0.8473, kappa: 0.7718, kb_relative_information_score: 16089.6505, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8485, predictive_accuracy: 0.8478, prior_entropy: 1.5849, recall: 0.8478, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5983, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 4.2564, build_memory: 256857910.4, f_measure: 0.8515, kappa: 0.7782, kb_relative_information_score: 16131.0702, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5947, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 3.7421, build_memory: 1195906529.6, f_measure: 0.8515, kappa: 0.7782, kb_relative_information_score: 16131.0702, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5947, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, build_cpu_time: 3.6118, build_memory: 347338068, f_measure: 0.8515, kappa: 0.7782, kb_relative_information_score: 16131.0702, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8531, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5947, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, build_cpu_time: 247.2825, build_memory: 2625441018.4, f_measure: 0.8551, kappa: 0.7838, kb_relative_information_score: 15909.4371, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8576, predictive_accuracy: 0.8558, prior_entropy: 1.5849, recall: 0.8558, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5977, scimark_benchmark: 910.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, build_cpu_time: 118.3673, build_memory: 1594900330.4, f_measure: 0.8548, kappa: 0.7834, kb_relative_information_score: 15907.3862, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8574, predictive_accuracy: 0.8556, prior_entropy: 1.5849, recall: 0.8556, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5978, scimark_benchmark: 904.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 31.0388, build_memory: 558385903.2, f_measure: 0.8542, kappa: 0.7825, kb_relative_information_score: 15904.9573, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8568, predictive_accuracy: 0.8549, prior_entropy: 1.5849, recall: 0.8549, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5982, scimark_benchmark: 899.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, build_cpu_time: 14.4579, build_memory: 2125161665.6, f_measure: 0.8539, kappa: 0.782, kb_relative_information_score: 15896.1932, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.8564, predictive_accuracy: 0.8546, prior_entropy: 1.5849, recall: 0.8546, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5989, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.2206, build_memory: 390507890.4, f_measure: 0.535, kappa: 0.3217, kb_relative_information_score: 8502.8168, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.53, predictive_accuracy: 0.5474, prior_entropy: 1.5849, recall: 0.5474, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9322, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.7033, build_memory: 839595918.4, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.4923, build_memory: 441714331.2, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.45, build_memory: 240097466.4, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.5327, build_memory: 604457883.2, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.4767, build_memory: 245839359.2, f_measure: 0.5449, kappa: 0.3441, kb_relative_information_score: 8486.1745, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5408, predictive_accuracy: 0.5622, prior_entropy: 1.5849, recall: 0.5622, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9119, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, build_cpu_time: 0.872, build_memory: 752450075.2, f_measure: 0.5511, kappa: 0.3598, kb_relative_information_score: 8543.5099, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4444, number_of_instances: 25000, precision: 0.5489, predictive_accuracy: 0.5726, prior_entropy: 1.5849, recall: 0.5726, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.897, scimark_benchmark: 937.52,

Metric:

Timeline

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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

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

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