OpenML
Supervised Classification on kdd_internet_usage

Supervised Classification on kdd_internet_usage

Task 3844 Supervised Classification kdd_internet_usage 343 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8579, kappa: 0.649, kb_relative_information_score: 5774.3507, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8654, predictive_accuracy: 0.8545, prior_entropy: 0.8395, recall: 0.8545, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6179, kb_relative_information_score: 2515.0802, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.1693, scimark_benchmark: 1280.301, usercpu_time_millis: 38921.875, usercpu_time_millis_testing: 16328.125, usercpu_time_millis_training: 22593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8954, kappa: 0.7316, kb_relative_information_score: 7176.616, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8949, predictive_accuracy: 0.8963, prior_entropy: 0.8395, recall: 0.8963, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7265, scimark_benchmark: 1280.301, usercpu_time_millis: 65156.25, usercpu_time_millis_testing: 6125, usercpu_time_millis_training: 59031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8873, kappa: 0.711, kb_relative_information_score: 6944.518, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8867, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7547, scimark_benchmark: 1461.2356, usercpu_time_millis: 38906.25, usercpu_time_millis_testing: 17671.875, usercpu_time_millis_training: 21234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.887, kappa: 0.7101, kb_relative_information_score: 6938.9252, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8864, predictive_accuracy: 0.8879, prior_entropy: 0.8395, recall: 0.8879, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7554, scimark_benchmark: 1461.2356, usercpu_time_millis: 33656.25, usercpu_time_millis_testing: 16312.5, usercpu_time_millis_training: 17343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8714, kappa: 0.6656, kb_relative_information_score: 5508.5465, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8715, predictive_accuracy: 0.8747, prior_entropy: 0.8395, recall: 0.8747, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7391, scimark_benchmark: 1787.9841, usercpu_time_millis: 743140.625, usercpu_time_millis_testing: 5625, usercpu_time_millis_training: 737515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8714, kappa: 0.6656, kb_relative_information_score: 5508.5465, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8715, predictive_accuracy: 0.8747, prior_entropy: 0.8395, recall: 0.8747, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7391, scimark_benchmark: 1356.4141, usercpu_time_millis: 991520, usercpu_time_millis_testing: 3970, usercpu_time_millis_training: 987550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.887, kappa: 0.7101, kb_relative_information_score: 6938.9252, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8864, predictive_accuracy: 0.8879, prior_entropy: 0.8395, recall: 0.8879, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7554, scimark_benchmark: 1377.3418, usercpu_time_millis: 60280, usercpu_time_millis_testing: 20040, usercpu_time_millis_training: 40240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8873, kappa: 0.711, kb_relative_information_score: 6944.518, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8867, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7547, scimark_benchmark: 1591.0692, usercpu_time_millis: 50910, usercpu_time_millis_testing: 16480, usercpu_time_millis_training: 34430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.7221, kappa: 0.2557, kb_relative_information_score: 3006.7013, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.7213, predictive_accuracy: 0.748, prior_entropy: 0.8395, recall: 0.748, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.0881, scimark_benchmark: 1671.2677, usercpu_time_millis: 1048781.25, usercpu_time_millis_testing: 5859.375, usercpu_time_millis_training: 1042921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6179, kb_relative_information_score: 2515.0802, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.1693, scimark_benchmark: 1373.7717, usercpu_time_millis: 63130, usercpu_time_millis_testing: 26940, usercpu_time_millis_training: 36190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8954, kappa: 0.7316, kb_relative_information_score: 7176.616, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8949, predictive_accuracy: 0.8963, prior_entropy: 0.8395, recall: 0.8963, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7265, scimark_benchmark: 1696.0608, usercpu_time_millis: 59660, usercpu_time_millis_testing: 7840, usercpu_time_millis_training: 51820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.6179, kb_relative_information_score: 3753.0868, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9965, scimark_benchmark: 1411.3541, usercpu_time_millis: 12734980, usercpu_time_millis_testing: 15860, usercpu_time_millis_training: 12719120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.658, kappa: 0.0778, kb_relative_information_score: 1571.9585, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.6474, predictive_accuracy: 0.7048, prior_entropy: 0.8395, recall: 0.7048, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.1686, scimark_benchmark: 1060.9535, usercpu_time_millis: 136234.375, usercpu_time_millis_testing: 5937.5, usercpu_time_millis_training: 130296.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8579, kappa: 0.649, kb_relative_information_score: 5774.3507, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8654, predictive_accuracy: 0.8545, prior_entropy: 0.8395, recall: 0.8545, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7753, scimark_benchmark: 1309.9369, usercpu_time_millis: 250, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8882, kappa: 0.7134, kb_relative_information_score: 5773.2498, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8877, predictive_accuracy: 0.889, prior_entropy: 0.8395, recall: 0.889, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.7006, scimark_benchmark: 1518.3985, usercpu_time_millis: 101260, usercpu_time_millis_testing: 4180, usercpu_time_millis_training: 97080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8852, kappa: 0.7052, kb_relative_information_score: 6137.3279, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8846, predictive_accuracy: 0.8862, prior_entropy: 0.8395, recall: 0.8862, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.6548, scimark_benchmark: 962.8765, usercpu_time_millis: 61700, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 61620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8229, kappa: 0.5369, kb_relative_information_score: 4882.3375, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8221, predictive_accuracy: 0.8289, prior_entropy: 0.8395, recall: 0.8289, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8876, scimark_benchmark: 1312.7352, usercpu_time_millis: 34410, usercpu_time_millis_testing: 34380, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8874, kappa: 0.7119, kb_relative_information_score: 5852.871, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8869, predictive_accuracy: 0.8879, prior_entropy: 0.8395, recall: 0.8879, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6438, scimark_benchmark: 1042.0509, usercpu_time_millis: 2430, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8883, kappa: 0.7119, kb_relative_information_score: 5703.0125, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8879, predictive_accuracy: 0.89, prior_entropy: 0.8395, recall: 0.89, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6842, scimark_benchmark: 986.7347, usercpu_time_millis: 3020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8952, kappa: 0.731, kb_relative_information_score: 7171.0233, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8947, predictive_accuracy: 0.8961, prior_entropy: 0.8395, recall: 0.8961, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.7272, scimark_benchmark: 1618.1738, usercpu_time_millis: 742875, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 742812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8904, kappa: 0.7175, kb_relative_information_score: 7050.7797, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8899, predictive_accuracy: 0.8919, prior_entropy: 0.8395, recall: 0.8919, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7419, scimark_benchmark: 1618.1738, usercpu_time_millis: 7406.25, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 7343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8832, kappa: 0.6988, kb_relative_information_score: 5708.2704, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8826, predictive_accuracy: 0.8848, prior_entropy: 0.8395, recall: 0.8848, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6817, scimark_benchmark: 1925.3565, usercpu_time_millis: 437.5, usercpu_time_millis_training: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8778, kappa: 0.6791, kb_relative_information_score: 4345.6064, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8814, predictive_accuracy: 0.8829, prior_entropy: 0.8395, recall: 0.8829, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6998, scimark_benchmark: 1925.3565, usercpu_time_millis: 3312.5, usercpu_time_millis_testing: 703.125, usercpu_time_millis_training: 2609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8784, kappa: 0.6866, kb_relative_information_score: 5940.9753, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8778, predictive_accuracy: 0.8802, prior_entropy: 0.8395, recall: 0.8802, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.7094, scimark_benchmark: 1925.3565, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8924, kappa: 0.7218, kb_relative_information_score: 6360.6484, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8922, predictive_accuracy: 0.8942, prior_entropy: 0.8395, recall: 0.8942, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.6502, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8579, kappa: 0.649, kb_relative_information_score: 5774.3507, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8654, predictive_accuracy: 0.8545, prior_entropy: 0.8395, recall: 0.8545, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7753, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8952, kappa: 0.731, kb_relative_information_score: 7171.0233, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8947, predictive_accuracy: 0.8961, prior_entropy: 0.8395, recall: 0.8961, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.7272, scimark_benchmark: 1925.3565, usercpu_time_millis: 247187.5, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 247125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8904, kappa: 0.7175, kb_relative_information_score: 7050.7797, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8899, predictive_accuracy: 0.8919, prior_entropy: 0.8395, recall: 0.8919, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7419, scimark_benchmark: 1925.3565, usercpu_time_millis: 5109.375, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 5046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8907, kappa: 0.7211, kb_relative_information_score: 5801.227, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8905, predictive_accuracy: 0.8909, prior_entropy: 0.8395, recall: 0.8909, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6932, scimark_benchmark: 1925.3565, usercpu_time_millis: 74828.125, usercpu_time_millis_testing: 5218.75, usercpu_time_millis_training: 69609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8852, kappa: 0.7052, kb_relative_information_score: 6137.2094, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8846, predictive_accuracy: 0.8862, prior_entropy: 0.8395, recall: 0.8862, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.6548, scimark_benchmark: 1925.3565, usercpu_time_millis: 38843.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 38796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8229, kappa: 0.5369, kb_relative_information_score: 4882.3375, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8221, predictive_accuracy: 0.8289, prior_entropy: 0.8395, recall: 0.8289, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8876, scimark_benchmark: 1925.3565, usercpu_time_millis: 19531.25, usercpu_time_millis_testing: 19515.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8874, kappa: 0.7119, kb_relative_information_score: 5852.871, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8869, predictive_accuracy: 0.8879, prior_entropy: 0.8395, recall: 0.8879, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6438, scimark_benchmark: 1892.0925, usercpu_time_millis: 2281.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8842, kappa: 0.7007, kb_relative_information_score: 5602.9551, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8839, predictive_accuracy: 0.8862, prior_entropy: 0.8395, recall: 0.8862, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6944, scimark_benchmark: 1892.0925, usercpu_time_millis: 1125, usercpu_time_millis_training: 1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.883, kappa: 0.6985, kb_relative_information_score: 5704.2758, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8825, predictive_accuracy: 0.8846, prior_entropy: 0.8395, recall: 0.8846, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6824, scimark_benchmark: 1892.0925, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8652, kappa: 0.6552, kb_relative_information_score: 5165.0079, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8646, predictive_accuracy: 0.8658, prior_entropy: 0.8395, recall: 0.8658, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7151, scimark_benchmark: 1806.5905, usercpu_time_millis: 1669.2107, usercpu_time_millis_testing: 592.8038, usercpu_time_millis_training: 1076.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8738, kappa: 0.668, kb_relative_information_score: 4297.6981, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.878, predictive_accuracy: 0.8794, prior_entropy: 0.8395, recall: 0.8794, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.7028, scimark_benchmark: 1806.5905, usercpu_time_millis: 2683.2172, usercpu_time_millis_testing: 483.6031, usercpu_time_millis_training: 2199.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8631, kappa: 0.6487, kb_relative_information_score: 5148.495, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8623, predictive_accuracy: 0.8644, prior_entropy: 0.8395, recall: 0.8644, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.7216, scimark_benchmark: 1806.5905, usercpu_time_millis: 5928.038, usercpu_time_millis_testing: 5725.2367, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8229, kappa: 0.5369, kb_relative_information_score: 4882.3375, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8221, predictive_accuracy: 0.8289, prior_entropy: 0.8395, recall: 0.8289, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8876, scimark_benchmark: 1806.5905, usercpu_time_millis: 21933.7406, usercpu_time_millis_testing: 21933.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8651, kappa: 0.6595, kb_relative_information_score: 5354.8581, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8665, predictive_accuracy: 0.8641, prior_entropy: 0.8395, recall: 0.8641, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.7184, scimark_benchmark: 1877.5305, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8579, kappa: 0.649, kb_relative_information_score: 5774.3507, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8654, predictive_accuracy: 0.8545, prior_entropy: 0.8395, recall: 0.8545, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7753, scimark_benchmark: 1850.8887, usercpu_time_millis: 140.4009, usercpu_time_millis_testing: 124.8008, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6179, kb_relative_information_score: -0.57, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.4432, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8928, kappa: 0.7228, kb_relative_information_score: 6370.0487, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8926, predictive_accuracy: 0.8946, prior_entropy: 0.8395, recall: 0.8946, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6482, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.896, kappa: 0.7355, kb_relative_information_score: 5112.0014, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8961, predictive_accuracy: 0.8959, prior_entropy: 0.8395, recall: 0.8959, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6369, scimark_benchmark: 972.587, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.892, kappa: 0.7232, kb_relative_information_score: 5990.3859, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8915, predictive_accuracy: 0.8928, prior_entropy: 0.8395, recall: 0.8928, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6381, scimark_benchmark: 851.2074, usercpu_time_millis: 33440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8873, kappa: 0.711, kb_relative_information_score: 6944.518, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8867, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7547, scimark_benchmark: 904.6764, usercpu_time_millis: 63790, usercpu_time_millis_testing: 18980, usercpu_time_millis_training: 44810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8873, kappa: 0.711, kb_relative_information_score: 6944.518, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8867, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7547, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 941.6675, usercpu_time_millis: 890, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 938.191, usercpu_time_millis: 790, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8766, kappa: 0.6836, kb_relative_information_score: 5621.006, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.876, predictive_accuracy: 0.8776, prior_entropy: 0.8395, recall: 0.8776, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6947, scimark_benchmark: 941.6675, usercpu_time_millis: 4550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.874, kappa: 0.6779, kb_relative_information_score: 6393.7825, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8736, predictive_accuracy: 0.8746, prior_entropy: 0.8395, recall: 0.8746, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.324, root_relative_squared_error: 0.731, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8873, kappa: 0.711, kb_relative_information_score: 6944.518, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8867, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7547, scimark_benchmark: 941.3847, usercpu_time_millis: 57890, usercpu_time_millis_testing: 18520, usercpu_time_millis_training: 39370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7979, kappa: 0.4562, kb_relative_information_score: 4447.3258, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8264, predictive_accuracy: 0.8216, prior_entropy: 0.8395, recall: 0.8216, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7933, scimark_benchmark: 944.1783, usercpu_time_millis: 1768900, usercpu_time_millis_testing: 380150, usercpu_time_millis_training: 1388750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.874, kappa: 0.6779, kb_relative_information_score: 6393.7825, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8736, predictive_accuracy: 0.8746, prior_entropy: 0.8395, recall: 0.8746, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.324, root_relative_squared_error: 0.731, scimark_benchmark: 947.1781, usercpu_time_millis: 106590, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 106430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8738, kappa: 0.668, kb_relative_information_score: 4297.6981, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.878, predictive_accuracy: 0.8794, prior_entropy: 0.8395, recall: 0.8794, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.7028, scimark_benchmark: 943.1009, usercpu_time_millis: 3240, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8928, kappa: 0.7228, kb_relative_information_score: 6370.0487, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8926, predictive_accuracy: 0.8946, prior_entropy: 0.8395, recall: 0.8946, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6482, scimark_benchmark: 819.5729, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.896, kappa: 0.7355, kb_relative_information_score: 5112.0014, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8961, predictive_accuracy: 0.8959, prior_entropy: 0.8395, recall: 0.8959, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6369, scimark_benchmark: 901.6243, usercpu_time_millis: 1900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8873, kappa: 0.711, kb_relative_information_score: 6944.518, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8867, predictive_accuracy: 0.8881, prior_entropy: 0.8395, recall: 0.8881, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7547, scimark_benchmark: 908.9569, usercpu_time_millis: 113300, usercpu_time_millis_testing: 52860, usercpu_time_millis_training: 60440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 903.2737, usercpu_time_millis: 920, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 938.1282, usercpu_time_millis: 870, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 941.4991, usercpu_time_millis: 1010, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8766, kappa: 0.6836, kb_relative_information_score: 5621.006, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.876, predictive_accuracy: 0.8776, prior_entropy: 0.8395, recall: 0.8776, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6947, scimark_benchmark: 930.404, usercpu_time_millis: 4800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7979, kappa: 0.4562, kb_relative_information_score: 4447.3258, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8264, predictive_accuracy: 0.8216, prior_entropy: 0.8395, recall: 0.8216, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7933, scimark_benchmark: 943.2803, usercpu_time_millis: 1544540, usercpu_time_millis_testing: 344330, usercpu_time_millis_training: 1200210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8687, kappa: 0.6727, kb_relative_information_score: 6023.7096, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3929, number_of_instances: 10108, precision: 0.8732, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7293, scimark_benchmark: 932.438, usercpu_time_millis: 790, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 140,

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