OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9298, kappa: 0.8251, kb_relative_information_score: 25070.9777, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9313, predictive_accuracy: 0.9312, prior_entropy: 0.863, recall: 0.9312, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5018, scimark_benchmark: 1845.7835, usercpu_time_millis: 1336.504, usercpu_time_millis_testing: 6.03, usercpu_time_millis_training: 1330.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9159, kappa: 0.7905, kb_relative_information_score: 24912.5384, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9168, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5237, scimark_benchmark: 1842.1882, usercpu_time_millis: 2789.418, usercpu_time_millis_testing: 6.318, usercpu_time_millis_training: 2783.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9539, kappa: 0.887, kb_relative_information_score: 27647.6967, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4213, scimark_benchmark: 1837.7832, usercpu_time_millis: 955.42, usercpu_time_millis_testing: 7.43, usercpu_time_millis_training: 947.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9134, kappa: 0.7822, kb_relative_information_score: 24576.3682, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9181, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5321, scimark_benchmark: 1847.7988, usercpu_time_millis: 2517.82, usercpu_time_millis_testing: 6.12, usercpu_time_millis_training: 2511.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9134, kappa: 0.7823, kb_relative_information_score: 24009.6134, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9177, predictive_accuracy: 0.9162, prior_entropy: 0.863, recall: 0.9162, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.5369, scimark_benchmark: 1843.6135, usercpu_time_millis: 2467.52, usercpu_time_millis_testing: 11.032, usercpu_time_millis_training: 2456.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9378, kappa: 0.8462, kb_relative_information_score: 25866.1344, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4745, scimark_benchmark: 1851.3688, usercpu_time_millis: 505.312, usercpu_time_millis_testing: 4.806, usercpu_time_millis_training: 500.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9509, kappa: 0.8796, kb_relative_information_score: 27344.9962, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, scimark_benchmark: 1830.2552, usercpu_time_millis: 546.59, usercpu_time_millis_testing: 3.38, usercpu_time_millis_training: 543.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9344, kappa: 0.8371, kb_relative_information_score: 25403.916, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4927, scimark_benchmark: 1850.4554, usercpu_time_millis: 735.321, usercpu_time_millis_testing: 6.166, usercpu_time_millis_training: 729.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9348, kappa: 0.8384, kb_relative_information_score: 25274.4394, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4897, scimark_benchmark: 1821.7903, usercpu_time_millis: 810.894, usercpu_time_millis_testing: 8.284, usercpu_time_millis_training: 802.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9509, kappa: 0.8792, kb_relative_information_score: 26765.0098, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4361, scimark_benchmark: 1807.5428, usercpu_time_millis: 788.037, usercpu_time_millis_testing: 18.658, usercpu_time_millis_training: 769.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9083, kappa: 0.7723, kb_relative_information_score: 20976.1711, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9084, predictive_accuracy: 0.9096, prior_entropy: 0.863, recall: 0.9096, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5894, scimark_benchmark: 1806.1237, usercpu_time_millis: 773.615, usercpu_time_millis_testing: 9.578, usercpu_time_millis_training: 764.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9509, kappa: 0.8794, kb_relative_information_score: 27528.4969, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4308, scimark_benchmark: 1821.9832, usercpu_time_millis: 777.141, usercpu_time_millis_testing: 3.181, usercpu_time_millis_training: 773.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28441.4049, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3875, scimark_benchmark: 1845.9141, usercpu_time_millis: 308.915, usercpu_time_millis_testing: 6.649, usercpu_time_millis_training: 302.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9597, kappa: 0.901, kb_relative_information_score: 28238.6124, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1746.6776, usercpu_time_millis: 332.407, usercpu_time_millis_testing: 7.865, usercpu_time_millis_training: 324.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9527, kappa: 0.8839, kb_relative_information_score: 27481.02, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4267, scimark_benchmark: 1813.6845, usercpu_time_millis: 330.522, usercpu_time_millis_testing: 3.641, usercpu_time_millis_training: 326.881,
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: 0.9814, f_measure: 0.9274, kappa: 0.8192, kb_relative_information_score: 22384.6913, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.9288, prior_entropy: 0.863, recall: 0.9288, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5281, scimark_benchmark: 1829.1228, usercpu_time_millis: 362.209, usercpu_time_millis_testing: 12.097, usercpu_time_millis_training: 350.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9406, kappa: 0.8534, kb_relative_information_score: 26165.5963, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4703, scimark_benchmark: 1844.7258, usercpu_time_millis: 397.159, usercpu_time_millis_testing: 2.824, usercpu_time_millis_training: 394.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8647, kappa: 0.6692, kb_relative_information_score: 16881.3836, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.865, predictive_accuracy: 0.8645, prior_entropy: 0.863, recall: 0.8645, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6913, scimark_benchmark: 1846.6923, usercpu_time_millis: 425.668, usercpu_time_millis_testing: 9.78, usercpu_time_millis_training: 415.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9349, kappa: 0.8381, kb_relative_information_score: 24007.7723, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4982, scimark_benchmark: 1835.093, usercpu_time_millis: 397.251, usercpu_time_millis_testing: 12.341, usercpu_time_millis_training: 384.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.868, kappa: 0.6784, kb_relative_information_score: 17398.4031, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6804, scimark_benchmark: 1844.3569, usercpu_time_millis: 396.924, usercpu_time_millis_testing: 5.667, usercpu_time_millis_training: 391.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 28109.6624, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4061, scimark_benchmark: 1840.3077, usercpu_time_millis: 419.325, usercpu_time_millis_testing: 5.859, usercpu_time_millis_training: 413.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9228, kappa: 0.807, kb_relative_information_score: 24854.8808, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162, scimark_benchmark: 1833.6579, usercpu_time_millis: 404.474, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 403.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.7592, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1836.152, usercpu_time_millis: 39.121, usercpu_time_millis_testing: 5.732, usercpu_time_millis_training: 33.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 1.937, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.0605, usercpu_time_millis: 31.808, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 30.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.9172, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 39.482, usercpu_time_millis_testing: 5.278, usercpu_time_millis_training: 34.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7553, kappa: 0.3713, kb_relative_information_score: 9217.1106, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8359, predictive_accuracy: 0.797, prior_entropy: 0.863, recall: 0.797, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.8004, scimark_benchmark: 1837.622, usercpu_time_millis: 42.392, usercpu_time_millis_testing: 4.436, usercpu_time_millis_training: 37.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.951, kappa: 0.8789, kb_relative_information_score: 25919.9268, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436, scimark_benchmark: 1853.454, usercpu_time_millis: 39.356, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 37.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8614, kappa: 0.6592, kb_relative_information_score: 14664.5238, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.861, predictive_accuracy: 0.8619, prior_entropy: 0.863, recall: 0.8619, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7118, scimark_benchmark: 1849.8294, usercpu_time_millis: 80.312, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 76.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9375, kappa: 0.8455, kb_relative_information_score: 26036.1945, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4725, scimark_benchmark: 1854.4951, usercpu_time_millis: 60.021, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 59.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.6708, kappa: 0.1679, kb_relative_information_score: 6262.0001, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8137, predictive_accuracy: 0.7497, prior_entropy: 0.863, recall: 0.7497, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8665, scimark_benchmark: 1857.1082, usercpu_time_millis: 58.346, usercpu_time_millis_testing: 7.352, usercpu_time_millis_training: 50.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8579, kappa: 0.6515, kb_relative_information_score: 15434.302, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.863, recall: 0.858, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7376, scimark_benchmark: 1852.4707, usercpu_time_millis: 60.61, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 59.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9628, kappa: 0.9086, kb_relative_information_score: 28241.5433, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1822.3184, usercpu_time_millis: 108.823, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 104.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8593, kappa: 0.6537, kb_relative_information_score: 14639.1396, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8588, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7185, scimark_benchmark: 1807.3509, usercpu_time_millis: 83.676, usercpu_time_millis_testing: 4.197, usercpu_time_millis_training: 79.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9581, kappa: 0.8966, kb_relative_information_score: 27118.7849, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098, scimark_benchmark: 1843.1261, usercpu_time_millis: 111.04, usercpu_time_millis_testing: 5.413, usercpu_time_millis_training: 105.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9046, kappa: 0.7627, kb_relative_information_score: 17891.9903, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9051, predictive_accuracy: 0.9063, prior_entropy: 0.863, recall: 0.9063, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.6217, scimark_benchmark: 1848.388, usercpu_time_millis: 98.512, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 94.93,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8681, kappa: 0.6796, kb_relative_information_score: 17364.2957, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8671, prior_entropy: 0.863, recall: 0.8671, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6854, scimark_benchmark: 1850.8706, usercpu_time_millis: 1266.691, usercpu_time_millis_testing: 10.039, usercpu_time_millis_training: 1256.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9342, kappa: 0.8368, kb_relative_information_score: 25278.0977, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931, scimark_benchmark: 1832.5979, usercpu_time_millis: 1194.424, usercpu_time_millis_testing: 8.17, usercpu_time_millis_training: 1186.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9274, kappa: 0.8187, kb_relative_information_score: 24965.3613, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.929, prior_entropy: 0.863, recall: 0.929, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5081, scimark_benchmark: 1853.3841, usercpu_time_millis: 1278.957, usercpu_time_millis_testing: 4.975, usercpu_time_millis_training: 1273.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8729, kappa: 0.6901, kb_relative_information_score: 17092.2474, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8737, predictive_accuracy: 0.8723, prior_entropy: 0.863, recall: 0.8723, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6641, scimark_benchmark: 1830.484, usercpu_time_millis: 4.741, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 4.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8717, kappa: 0.6893, kb_relative_information_score: 17870.963, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.874, predictive_accuracy: 0.8703, prior_entropy: 0.863, recall: 0.8703, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6708, scimark_benchmark: 1849.3014, usercpu_time_millis: 21.431, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 20.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.7367, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1827.5744, usercpu_time_millis: 19.65, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 18.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -13.5051, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1835.0844, usercpu_time_millis: 11.767, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 11.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9342, kappa: 0.8371, kb_relative_information_score: 25436.1452, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4853, scimark_benchmark: 1847.3406, usercpu_time_millis: 22.477, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 21.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -11.5887, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.7454, usercpu_time_millis: 17.796, usercpu_time_millis_testing: 2.299, usercpu_time_millis_training: 15.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.9698, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1842.6464, usercpu_time_millis: 21.394, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 19.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.2849, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1834.9568, usercpu_time_millis: 38.179, usercpu_time_millis_testing: 3.669, usercpu_time_millis_training: 34.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9096, kappa: 0.7754, kb_relative_information_score: 21711.5604, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9099, predictive_accuracy: 0.911, prior_entropy: 0.863, recall: 0.911, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5701, scimark_benchmark: 1838.6751, usercpu_time_millis: 1328.67, usercpu_time_millis_testing: 11.647, usercpu_time_millis_training: 1317.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9158, kappa: 0.7883, kb_relative_information_score: 24588.6481, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9201, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.528, scimark_benchmark: 1849.8294, usercpu_time_millis: 1431.49, usercpu_time_millis_testing: 3.892, usercpu_time_millis_training: 1427.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.1878, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 28.518, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 25.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.1426, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1832.2251, usercpu_time_millis: 34.368, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 31.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9151, kappa: 0.7871, kb_relative_information_score: 16344.3108, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.6481, scimark_benchmark: 1841.2811, usercpu_time_millis: 38.29, usercpu_time_millis_testing: 2.276, usercpu_time_millis_training: 36.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9246, kappa: 0.8114, kb_relative_information_score: 24738.6593, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9266, prior_entropy: 0.863, recall: 0.9266, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5038, scimark_benchmark: 1848.388, usercpu_time_millis: 1330.33, usercpu_time_millis_testing: 11.486, usercpu_time_millis_training: 1318.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.915, kappa: 0.7861, kb_relative_information_score: 24392.7575, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5259, scimark_benchmark: 1815.5992, usercpu_time_millis: 1409.53, usercpu_time_millis_testing: 6.413, usercpu_time_millis_training: 1403.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9329, kappa: 0.8339, kb_relative_information_score: 25902.5581, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.488, scimark_benchmark: 1848.7762, usercpu_time_millis: 27.559, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 27.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8707, kappa: 0.6842, kb_relative_information_score: 17379.4626, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8712, predictive_accuracy: 0.8703, prior_entropy: 0.863, recall: 0.8703, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6632, scimark_benchmark: 1840.7617, usercpu_time_millis: 15.32, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 14.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.8749, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.0605, usercpu_time_millis: 37.383, usercpu_time_millis_testing: 6.337, usercpu_time_millis_training: 31.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.7825, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1831.6117, usercpu_time_millis: 38.313, usercpu_time_millis_testing: 2.344, usercpu_time_millis_training: 35.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -4.4889, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1824.1207, usercpu_time_millis: 15.484, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 14.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.957, kappa: 0.8944, kb_relative_information_score: 28551.6162, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.4049, scimark_benchmark: 1839.7313, usercpu_time_millis: 21.711, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 21.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -8.513, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1845.7835, usercpu_time_millis: 36.991, usercpu_time_millis_testing: 4.742, usercpu_time_millis_training: 32.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8583, kappa: 0.6524, kb_relative_information_score: 15548.9757, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8582, predictive_accuracy: 0.8585, prior_entropy: 0.863, recall: 0.8585, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7375, scimark_benchmark: 1843.7454, usercpu_time_millis: 43.273, usercpu_time_millis_testing: 1.244, usercpu_time_millis_training: 42.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.1998, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.7637, usercpu_time_millis: 29.849, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 27.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.1924, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.8185, usercpu_time_millis: 33.724, usercpu_time_millis_testing: 5.77, usercpu_time_millis_training: 27.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.4943, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1835.093, usercpu_time_millis: 50.315, usercpu_time_millis_testing: 7.513, usercpu_time_millis_training: 42.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.7325, kappa: 0.3149, kb_relative_information_score: 8853.1267, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8298, predictive_accuracy: 0.7834, prior_entropy: 0.863, recall: 0.7834, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.8105, scimark_benchmark: 1847.653, usercpu_time_millis: 29.963, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 28.098,

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