OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31939 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28582.9608, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3924, scimark_benchmark: 1821.8637, usercpu_time_millis: 3050.535, usercpu_time_millis_testing: 12.808, usercpu_time_millis_training: 3037.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8699, kappa: 0.6825, kb_relative_information_score: 17425.8804, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8706, predictive_accuracy: 0.8693, prior_entropy: 0.863, recall: 0.8693, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6716, scimark_benchmark: 1689.7635, usercpu_time_millis: 1040.742, usercpu_time_millis_testing: 17.284, usercpu_time_millis_training: 1023.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9481, kappa: 0.8728, kb_relative_information_score: 27963.3155, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4468, scimark_benchmark: 1850.3885, usercpu_time_millis: 6.411, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 6.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8654, kappa: 0.6719, kb_relative_information_score: 17084.4307, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8663, predictive_accuracy: 0.8647, prior_entropy: 0.863, recall: 0.8647, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6899, scimark_benchmark: 1845.7835, usercpu_time_millis: 19.214, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 18.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 29763.4925, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1845.2522, usercpu_time_millis: 23.714, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 23.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.1475, 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: 1691.2649, usercpu_time_millis: 75.576, usercpu_time_millis_testing: 3.148, usercpu_time_millis_training: 72.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.2737, 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: 1848.2722, usercpu_time_millis: 84.188, usercpu_time_millis_testing: 7.37, usercpu_time_millis_training: 76.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8649, kappa: 0.6698, kb_relative_information_score: 16530.1998, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8653, predictive_accuracy: 0.8646, prior_entropy: 0.863, recall: 0.8646, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1728.4686, usercpu_time_millis: 29.048, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 28.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8593, kappa: 0.6541, kb_relative_information_score: 14971.3387, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8598, prior_entropy: 0.863, recall: 0.8598, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7252, scimark_benchmark: 1724.4096, usercpu_time_millis: 43.806, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 42.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.03, 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: 1732.4995, usercpu_time_millis: 42.973, usercpu_time_millis_testing: 3.515, usercpu_time_millis_training: 39.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9229, kappa: 0.807, kb_relative_information_score: 24612.1708, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5067, scimark_benchmark: 1726.6939, usercpu_time_millis: 935.067, usercpu_time_millis_testing: 8.58, usercpu_time_millis_training: 926.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8613, kappa: 0.6633, kb_relative_information_score: 16893.2711, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8631, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6965, scimark_benchmark: 1713.4448, usercpu_time_millis: 514.356, usercpu_time_millis_testing: 6.234, usercpu_time_millis_training: 508.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9525, kappa: 0.8835, kb_relative_information_score: 27456.9935, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276, scimark_benchmark: 1705.1937, usercpu_time_millis: 1935.115, usercpu_time_millis_testing: 20.96, usercpu_time_millis_training: 1914.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 29472.4261, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3708, scimark_benchmark: 1732.4384, usercpu_time_millis: 2267.556, usercpu_time_millis_testing: 6.217, usercpu_time_millis_training: 2261.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9312, kappa: 0.8289, kb_relative_information_score: 25117.0915, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5031, scimark_benchmark: 1731.5618, usercpu_time_millis: 2473.375, usercpu_time_millis_testing: 7.901, usercpu_time_millis_training: 2465.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 27936.4863, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4141, scimark_benchmark: 1729.7652, usercpu_time_millis: 1585.53, usercpu_time_millis_testing: 7.017, usercpu_time_millis_training: 1578.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9091, kappa: 0.7746, kb_relative_information_score: 23027.961, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9091, predictive_accuracy: 0.9102, prior_entropy: 0.863, recall: 0.9102, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5506, scimark_benchmark: 1724.947, usercpu_time_millis: 2190.579, usercpu_time_millis_testing: 11.459, usercpu_time_millis_training: 2179.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29698.6577, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.359, scimark_benchmark: 1726.6939, usercpu_time_millis: 2862.226, usercpu_time_millis_testing: 8.38, usercpu_time_millis_training: 2853.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9157, kappa: 0.7879, kb_relative_information_score: 24068.2213, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5256, scimark_benchmark: 1730.1287, usercpu_time_millis: 401.988, usercpu_time_millis_testing: 2.553, usercpu_time_millis_training: 399.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9487, kappa: 0.8741, kb_relative_information_score: 27363.0007, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4402, scimark_benchmark: 1738.3274, usercpu_time_millis: 436.855, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 435.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28699.2098, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1723.9607, usercpu_time_millis: 442.983, usercpu_time_millis_testing: 5.184, usercpu_time_millis_training: 437.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8687, kappa: 0.6806, kb_relative_information_score: 17314.4277, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.87, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841, scimark_benchmark: 1730.591, usercpu_time_millis: 520.552, usercpu_time_millis_testing: 4.035, usercpu_time_millis_training: 516.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9491, kappa: 0.8752, kb_relative_information_score: 27274.5387, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371, scimark_benchmark: 1918.9402, usercpu_time_millis: 653.979, usercpu_time_millis_testing: 3.475, usercpu_time_millis_training: 650.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29792.2908, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.359, scimark_benchmark: 1706.0808, usercpu_time_millis: 727.83, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 725.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9192, kappa: 0.7971, kb_relative_information_score: 24330.7003, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5133, scimark_benchmark: 1733.7613, usercpu_time_millis: 1169.663, usercpu_time_millis_testing: 11.106, usercpu_time_millis_training: 1158.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.958, kappa: 0.897, kb_relative_information_score: 28680.5408, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3982, scimark_benchmark: 1732.8983, usercpu_time_millis: 1544.172, usercpu_time_millis_testing: 3.805, usercpu_time_millis_training: 1540.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9147, kappa: 0.7855, kb_relative_information_score: 24195.4095, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9177, prior_entropy: 0.863, recall: 0.9177, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5308, scimark_benchmark: 1728.4686, usercpu_time_millis: 1841.987, usercpu_time_millis_testing: 8.355, usercpu_time_millis_training: 1833.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9421, kappa: 0.8575, kb_relative_information_score: 26432.5483, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4662, scimark_benchmark: 1717.4916, usercpu_time_millis: 1871.05, usercpu_time_millis_testing: 6.777, usercpu_time_millis_training: 1864.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9179, kappa: 0.7936, kb_relative_information_score: 24412.3267, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5159, scimark_benchmark: 1720.0398, usercpu_time_millis: 2103.014, usercpu_time_millis_testing: 12.907, usercpu_time_millis_training: 2090.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9538, kappa: 0.8868, kb_relative_information_score: 27669.7276, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4225, scimark_benchmark: 1730.591, usercpu_time_millis: 2833.174, usercpu_time_millis_testing: 16.388, usercpu_time_millis_training: 2816.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.958, kappa: 0.897, kb_relative_information_score: 28312.6354, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3999, scimark_benchmark: 1735.1328, usercpu_time_millis: 991.139, usercpu_time_millis_testing: 10.118, usercpu_time_millis_training: 981.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9589, kappa: 0.8993, kb_relative_information_score: 28743.447, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3935, scimark_benchmark: 1728.9285, usercpu_time_millis: 2829.987, usercpu_time_millis_testing: 7.441, usercpu_time_millis_training: 2822.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8689, kappa: 0.6812, kb_relative_information_score: 17383.5871, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8702, predictive_accuracy: 0.8679, prior_entropy: 0.863, recall: 0.8679, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841, scimark_benchmark: 1768.8943, usercpu_time_millis: 842.674, usercpu_time_millis_testing: 6.833, usercpu_time_millis_training: 835.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9377, kappa: 0.8453, kb_relative_information_score: 22875.7082, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5126, scimark_benchmark: 1732.4384, usercpu_time_millis: 16.759, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 16.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9493, kappa: 0.8747, kb_relative_information_score: 25855.7351, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4477, scimark_benchmark: 2066.1208, usercpu_time_millis: 95.714, usercpu_time_millis_testing: 2.805, usercpu_time_millis_training: 92.909,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 29018.4419, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1729.728, usercpu_time_millis: 1302.82, usercpu_time_millis_testing: 9.168, usercpu_time_millis_training: 1293.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9618, kappa: 0.9064, kb_relative_information_score: 29384.0494, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3778, scimark_benchmark: 1736.9559, usercpu_time_millis: 1813.964, usercpu_time_millis_testing: 3.875, usercpu_time_millis_training: 1810.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9341, kappa: 0.8367, kb_relative_information_score: 25997.4457, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4815, scimark_benchmark: 1735.1328, usercpu_time_millis: 1841.414, usercpu_time_millis_testing: 5.679, usercpu_time_millis_training: 1835.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9634, kappa: 0.9103, kb_relative_information_score: 29019.1638, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763, scimark_benchmark: 1731.6389, usercpu_time_millis: 1447.374, usercpu_time_millis_testing: 8.338, usercpu_time_millis_training: 1439.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9463, kappa: 0.868, kb_relative_information_score: 26825.0657, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4485, scimark_benchmark: 1737.9823, usercpu_time_millis: 1550.595, usercpu_time_millis_testing: 9.165, usercpu_time_millis_training: 1541.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9421, kappa: 0.857, kb_relative_information_score: 26310.1229, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4671, scimark_benchmark: 1803.0841, usercpu_time_millis: 2174.837, usercpu_time_millis_testing: 11.432, usercpu_time_millis_training: 2163.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9529, kappa: 0.8843, kb_relative_information_score: 27499.4065, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259, scimark_benchmark: 1738.5997, usercpu_time_millis: 938.603, usercpu_time_millis_testing: 13.078, usercpu_time_millis_training: 925.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9357, kappa: 0.8407, kb_relative_information_score: 25655.3623, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4862, scimark_benchmark: 1900.5842, usercpu_time_millis: 908.912, usercpu_time_millis_testing: 5.122, usercpu_time_millis_training: 903.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9492, kappa: 0.8754, kb_relative_information_score: 27322.361, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4373, scimark_benchmark: 1978.043, usercpu_time_millis: 1395.309, usercpu_time_millis_testing: 5.038, usercpu_time_millis_training: 1390.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9232, kappa: 0.8077, kb_relative_information_score: 24765.051, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5114, scimark_benchmark: 1810.916, usercpu_time_millis: 2143.62, usercpu_time_millis_testing: 10.994, usercpu_time_millis_training: 2132.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29661.5159, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1974.6434, usercpu_time_millis: 2041.106, usercpu_time_millis_testing: 4.711, usercpu_time_millis_training: 2036.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8773, kappa: 0.7, kb_relative_information_score: 17194.9041, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8776, predictive_accuracy: 0.8769, prior_entropy: 0.863, recall: 0.8769, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.6483, scimark_benchmark: 2125.8115, usercpu_time_millis: 133.662, usercpu_time_millis_testing: 7.757, usercpu_time_millis_training: 125.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.1376, 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: 1716.3704, usercpu_time_millis: 36.603, usercpu_time_millis_testing: 2.304, usercpu_time_millis_training: 34.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 29315.4137, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 2137.2254, usercpu_time_millis: 51.308, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 50.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29880.9654, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3493, scimark_benchmark: 1728.1331, usercpu_time_millis: 65.964, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 65.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8599, kappa: 0.6544, kb_relative_information_score: 14435.306, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8608, prior_entropy: 0.863, recall: 0.8608, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7148, scimark_benchmark: 1726.2364, usercpu_time_millis: 50.017, usercpu_time_millis_testing: 2.137, usercpu_time_millis_training: 47.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.5022, 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: 1678.4228, usercpu_time_millis: 54.975, usercpu_time_millis_testing: 2.334, usercpu_time_millis_training: 52.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8605, kappa: 0.6574, kb_relative_information_score: 15589.0079, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8602, predictive_accuracy: 0.8609, prior_entropy: 0.863, recall: 0.8609, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7087, scimark_benchmark: 738.3058, usercpu_time_millis: 234.349, usercpu_time_millis_testing: 11.001, usercpu_time_millis_training: 223.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9609, kappa: 0.9038, kb_relative_information_score: 28597.6152, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3881, scimark_benchmark: 1621.2918, usercpu_time_millis: 193.22, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 190.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9044, kappa: 0.7615, kb_relative_information_score: 19303.1974, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9054, predictive_accuracy: 0.9064, prior_entropy: 0.863, recall: 0.9064, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5942, scimark_benchmark: 1849.7595, usercpu_time_millis: 281.121, usercpu_time_millis_testing: 10.081, usercpu_time_millis_training: 271.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8668, kappa: 0.6752, kb_relative_information_score: 17277.5743, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8676, predictive_accuracy: 0.8662, prior_entropy: 0.863, recall: 0.8662, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.683, scimark_benchmark: 2096.9034, usercpu_time_millis: 444.277, usercpu_time_millis_testing: 8.617, usercpu_time_millis_training: 435.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8589, kappa: 0.653, kb_relative_information_score: 15072.015, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8585, predictive_accuracy: 0.8594, prior_entropy: 0.863, recall: 0.8594, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7277, scimark_benchmark: 1842.6464, usercpu_time_millis: 90.019, usercpu_time_millis_testing: 4.151, usercpu_time_millis_training: 85.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8722, kappa: 0.6885, kb_relative_information_score: 18344.0029, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.873, predictive_accuracy: 0.8716, prior_entropy: 0.863, recall: 0.8716, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6472, scimark_benchmark: 1849.8294, usercpu_time_millis: 133.824, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 131.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9355, kappa: 0.8401, kb_relative_information_score: 25582.826, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4883, scimark_benchmark: 1746.0793, usercpu_time_millis: 365.861, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 364.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29640.7065, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3501, scimark_benchmark: 1900.5513, usercpu_time_millis: 521.547, usercpu_time_millis_testing: 5.533, usercpu_time_millis_training: 516.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9142, kappa: 0.7868, kb_relative_information_score: 22325.8334, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9146, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.5454, scimark_benchmark: 1851.6514, usercpu_time_millis: 584.228, usercpu_time_millis_testing: 6.423, usercpu_time_millis_training: 577.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9513, kappa: 0.8805, kb_relative_information_score: 27816.9144, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251, scimark_benchmark: 1733.7613, usercpu_time_millis: 5186.273, usercpu_time_millis_testing: 16.084, usercpu_time_millis_training: 5170.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9514, kappa: 0.8808, kb_relative_information_score: 27619.557, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286, scimark_benchmark: 1729.8197, usercpu_time_millis: 23.579, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 23.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9146, kappa: 0.7857, kb_relative_information_score: 23660.2534, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9183, predictive_accuracy: 0.9173, prior_entropy: 0.863, recall: 0.9173, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5305, scimark_benchmark: 1058.5059, usercpu_time_millis: 1650.691, usercpu_time_millis_testing: 8.467, usercpu_time_millis_training: 1642.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8579, kappa: 0.65, kb_relative_information_score: 14907.123, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8573, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.7236, scimark_benchmark: 1730.1287, usercpu_time_millis: 70.1, usercpu_time_millis_testing: 4.756, usercpu_time_millis_training: 65.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29131.5262, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373, scimark_benchmark: 1722.595, usercpu_time_millis: 291.915, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 290.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -9.028, 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: 1724.0704, usercpu_time_millis: 30.493, usercpu_time_millis_testing: 4.686, usercpu_time_millis_training: 25.807,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs