Task
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 22125 runs submitted
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  • OpenML100 study_123 study_14 study_218
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.9156, kappa: 0.0532, kb_relative_information_score: -10950.0734, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9037, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.9368, scimark_benchmark: 1849.8294, usercpu_time_millis: 56.372, usercpu_time_millis_testing: 3.42, usercpu_time_millis_training: 52.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.9165, kappa: 0.0328, kb_relative_information_score: -11113.1516, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9377, predictive_accuracy: 0.943, prior_entropy: 0.3191, recall: 0.943, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8987, scimark_benchmark: 1853.9121, usercpu_time_millis: 40.926, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 38.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -14.0561, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1852.355, usercpu_time_millis: 37.037, usercpu_time_millis_testing: 6.023, usercpu_time_millis_training: 31.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.922, kappa: 0.1093, kb_relative_information_score: -13659.3001, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9359, predictive_accuracy: 0.9447, prior_entropy: 0.3191, recall: 0.9447, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8866, scimark_benchmark: 1852.4707, usercpu_time_millis: 33.475, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 32.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9279, kappa: 0.2426, kb_relative_information_score: -906.8562, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9227, predictive_accuracy: 0.9393, prior_entropy: 0.3191, recall: 0.9393, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9589, scimark_benchmark: 1850.8706, usercpu_time_millis: 35.426, usercpu_time_millis_testing: 2.669, usercpu_time_millis_training: 32.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.914, kb_relative_information_score: -9152.8099, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9918, scimark_benchmark: 1849.8294, usercpu_time_millis: 9.029, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 8.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9224, kappa: 0.1963, kb_relative_information_score: -7749.4336, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9154, predictive_accuracy: 0.9333, prior_entropy: 0.3191, recall: 0.9333, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9733, scimark_benchmark: 1854.1098, usercpu_time_millis: 121.667, usercpu_time_millis_testing: 7.431, usercpu_time_millis_training: 114.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.9258, kappa: 0.2217, kb_relative_information_score: -5645.7898, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9198, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.941, scimark_benchmark: 1743.5745, usercpu_time_millis: 7.556, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 7.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9287, kappa: 0.2527, kb_relative_information_score: -779.4592, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9239, predictive_accuracy: 0.9399, prior_entropy: 0.3191, recall: 0.9399, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9631, scimark_benchmark: 1997.5774, usercpu_time_millis: 37.307, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 35.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.9226, kappa: 0.1179, kb_relative_information_score: -10925.7394, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9347, predictive_accuracy: 0.9448, prior_entropy: 0.3191, recall: 0.9448, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8788, scimark_benchmark: 2056.118, usercpu_time_millis: 214.718, usercpu_time_millis_testing: 10.315, usercpu_time_millis_training: 204.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.914, kb_relative_information_score: -9472.3851, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9922, scimark_benchmark: 1927.2306, usercpu_time_millis: 23.331, usercpu_time_millis_testing: 2.398, usercpu_time_millis_training: 20.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.9172, kappa: 0.0756, kb_relative_information_score: -10265.3986, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9074, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9297, scimark_benchmark: 1948.0496, usercpu_time_millis: 57.018, usercpu_time_millis_testing: 4.305, usercpu_time_millis_training: 52.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13972.5107, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9494, scimark_benchmark: 2001.3491, usercpu_time_millis: 230.399, usercpu_time_millis_testing: 13.978, usercpu_time_millis_training: 216.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.9159, kappa: 0.0253, kb_relative_information_score: -11416.6921, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9402, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9015, scimark_benchmark: 1196.2241, usercpu_time_millis: 294.772, usercpu_time_millis_testing: 17.629, usercpu_time_millis_training: 277.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.915, kappa: 0.0425, kb_relative_information_score: -11836.009, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.902, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9468, scimark_benchmark: 1982.571, usercpu_time_millis: 49.361, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 46.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.9305, kappa: 0.2755, kb_relative_information_score: -157.9083, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.926, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9817, scimark_benchmark: 2079.8786, usercpu_time_millis: 149.333, usercpu_time_millis_testing: 7.801, usercpu_time_millis_training: 141.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.9209, kappa: 0.0943, kb_relative_information_score: -10647.7534, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9342, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8819, scimark_benchmark: 1997.7099, usercpu_time_millis: 41.136, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 39.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -10.7793, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 2040.6085, usercpu_time_millis: 22.8, usercpu_time_millis_testing: 4.103, usercpu_time_millis_training: 18.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.9277, kappa: 0.2411, kb_relative_information_score: -1253.4912, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9224, predictive_accuracy: 0.9391, prior_entropy: 0.3191, recall: 0.9391, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9447, scimark_benchmark: 1892.0832, usercpu_time_millis: 51.833, usercpu_time_millis_testing: 3.616, usercpu_time_millis_training: 48.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.9297, kappa: 0.2642, kb_relative_information_score: -646.9723, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9803, scimark_benchmark: 1851.8968, usercpu_time_millis: 133.241, usercpu_time_millis_testing: 8.174, usercpu_time_millis_training: 125.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.9305, kappa: 0.2759, kb_relative_information_score: -14.9158, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9818, scimark_benchmark: 1957.2231, usercpu_time_millis: 53.283, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 51.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.9149, kappa: 0.0385, kb_relative_information_score: -10386.5994, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9016, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9239, scimark_benchmark: 1878.2375, usercpu_time_millis: 13.576, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 13.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14226.293, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9541, scimark_benchmark: 1917.9311, usercpu_time_millis: 366.285, usercpu_time_millis_testing: 13.962, usercpu_time_millis_training: 352.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13330.3872, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9707, scimark_benchmark: 1876.3693, usercpu_time_millis: 65.384, usercpu_time_millis_testing: 6.017, usercpu_time_millis_training: 59.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.914, kb_relative_information_score: -13588.1164, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9849, scimark_benchmark: 2152.2124, usercpu_time_millis: 72.918, usercpu_time_millis_testing: 5.212, usercpu_time_millis_training: 67.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.9303, kappa: 0.2747, kb_relative_information_score: 11.2357, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9803, scimark_benchmark: 1937.0713, usercpu_time_millis: 120.975, usercpu_time_millis_testing: 6.868, usercpu_time_millis_training: 114.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.915, kappa: 0.0448, kb_relative_information_score: -11638.5516, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.902, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9533, scimark_benchmark: 1851.827, usercpu_time_millis: 28.643, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 27.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9232, kappa: 0.1454, kb_relative_information_score: -6062.3686, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.921, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8967, scimark_benchmark: 2078.2485, usercpu_time_millis: 8.961, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 8.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.914, kb_relative_information_score: -9176.5887, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9946, scimark_benchmark: 1974.1402, usercpu_time_millis: 75.532, usercpu_time_millis_testing: 6.017, usercpu_time_millis_training: 69.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.9444, kappa: 0.4251, kb_relative_information_score: -6450.494, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9437, predictive_accuracy: 0.952, prior_entropy: 0.3191, recall: 0.952, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.8467, scimark_benchmark: 2013.7117, usercpu_time_millis: 53.705, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 52.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.9152, kappa: 0.0462, kb_relative_information_score: -11917.8482, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9025, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9461, scimark_benchmark: 2096.7171, usercpu_time_millis: 26.347, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 25.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.9197, kappa: 0.0772, kb_relative_information_score: -12998.6283, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9351, predictive_accuracy: 0.9439, prior_entropy: 0.3191, recall: 0.9439, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8911, scimark_benchmark: 2055.1372, usercpu_time_millis: 28.118, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 27.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -11950.8144, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.951, scimark_benchmark: 1986.7771, usercpu_time_millis: 151.987, usercpu_time_millis_testing: 14.575, usercpu_time_millis_training: 137.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.9303, kappa: 0.2739, kb_relative_information_score: 233.7794, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9822, scimark_benchmark: 1805.178, usercpu_time_millis: 270.933, usercpu_time_millis_testing: 11.567, usercpu_time_millis_training: 259.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9302, kappa: 0.2463, kb_relative_information_score: -1713.813, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9283, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8924, scimark_benchmark: 1859.5666, usercpu_time_millis: 133.941, usercpu_time_millis_testing: 11.194, usercpu_time_millis_training: 122.747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -9.4835, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1754.3436, usercpu_time_millis: 41.154, usercpu_time_millis_testing: 6.249, usercpu_time_millis_training: 34.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.9151, kappa: 0.0437, kb_relative_information_score: -10387.3233, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9024, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9254, scimark_benchmark: 1764.5304, usercpu_time_millis: 14.528, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 14.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.93, kappa: 0.264, kb_relative_information_score: -284.9194, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.967, scimark_benchmark: 1728.8229, usercpu_time_millis: 247.43, usercpu_time_millis_testing: 15.158, usercpu_time_millis_training: 232.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.9299, kappa: 0.2649, kb_relative_information_score: -336.9731, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9734, scimark_benchmark: 1833.9609, usercpu_time_millis: 140.57, usercpu_time_millis_testing: 8.925, usercpu_time_millis_training: 131.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.921, kappa: 0.0965, kb_relative_information_score: -10399.6104, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.933, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8814, scimark_benchmark: 1831.9235, usercpu_time_millis: 97.507, usercpu_time_millis_testing: 6.761, usercpu_time_millis_training: 90.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -13.097, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1824.6113, usercpu_time_millis: 31.394, usercpu_time_millis_testing: 4.055, usercpu_time_millis_training: 27.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13927.8086, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.947, scimark_benchmark: 1840.6384, usercpu_time_millis: 477.311, usercpu_time_millis_testing: 13.078, usercpu_time_millis_training: 464.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14229.356, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9603, scimark_benchmark: 1832.6873, usercpu_time_millis: 407.382, usercpu_time_millis_testing: 19.879, usercpu_time_millis_training: 387.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9302, kappa: 0.2675, kb_relative_information_score: -129.9064, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9558, scimark_benchmark: 1712.7521, usercpu_time_millis: 297.948, usercpu_time_millis_testing: 15.396, usercpu_time_millis_training: 282.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14711.707, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9708, scimark_benchmark: 1854.8794, usercpu_time_millis: 351.2, usercpu_time_millis_testing: 11.805, usercpu_time_millis_training: 339.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9299, kappa: 0.2605, kb_relative_information_score: -306.4911, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.931, scimark_benchmark: 1834.1088, usercpu_time_millis: 289.3, usercpu_time_millis_testing: 17.46, usercpu_time_millis_training: 271.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.9298, kappa: 0.2399, kb_relative_information_score: -2524.1848, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.928, predictive_accuracy: 0.9439, prior_entropy: 0.3191, recall: 0.9439, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8922, scimark_benchmark: 1879.7788, usercpu_time_millis: 140.752, usercpu_time_millis_testing: 9.385, usercpu_time_millis_training: 131.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.944, kappa: 0.4155, kb_relative_information_score: -5743.6696, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9441, predictive_accuracy: 0.9524, prior_entropy: 0.3191, recall: 0.9524, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.8386, scimark_benchmark: 1940.0095, usercpu_time_millis: 108.922, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 104.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -12748.6203, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.938, scimark_benchmark: 1732.9433, usercpu_time_millis: 151.904, usercpu_time_millis_testing: 10.749, usercpu_time_millis_training: 141.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.9145, kappa: 0.0346, kb_relative_information_score: -11995.6777, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9005, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9598, scimark_benchmark: 1840.2451, usercpu_time_millis: 108.899, usercpu_time_millis_testing: 3.572, usercpu_time_millis_training: 105.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.914, kb_relative_information_score: -11846.9372, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9902, scimark_benchmark: 1836.6789, usercpu_time_millis: 105.142, usercpu_time_millis_testing: 7.014, usercpu_time_millis_training: 98.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.9254, kappa: 0.2116, kb_relative_information_score: -6513.2429, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9195, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.935, scimark_benchmark: 1723.9567, usercpu_time_millis: 94.982, usercpu_time_millis_testing: 9.287, usercpu_time_millis_training: 85.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13954.3905, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9394, scimark_benchmark: 1831.2156, usercpu_time_millis: 36.593, usercpu_time_millis_testing: 1.773, usercpu_time_millis_training: 34.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.914, kb_relative_information_score: -8357.6049, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9935, scimark_benchmark: 1855.4813, usercpu_time_millis: 24.494, usercpu_time_millis_testing: 2.398, usercpu_time_millis_training: 22.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.9302, kappa: 0.2715, kb_relative_information_score: -369.3986, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9815, scimark_benchmark: 1730.591, usercpu_time_millis: 186.959, usercpu_time_millis_testing: 9.113, usercpu_time_millis_training: 177.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9277, kappa: 0.2458, kb_relative_information_score: -1434.786, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9223, predictive_accuracy: 0.9385, prior_entropy: 0.3191, recall: 0.9385, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9447, scimark_benchmark: 1727.5559, usercpu_time_millis: 169.763, usercpu_time_millis_testing: 9.316, usercpu_time_millis_training: 160.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.9266, kappa: 0.2474, kb_relative_information_score: -2521.0274, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9209, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.0046, scimark_benchmark: 1728.9285, usercpu_time_millis: 146.582, usercpu_time_millis_testing: 6.422, usercpu_time_millis_training: 140.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -11977.5211, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9474, scimark_benchmark: 1734.2259, usercpu_time_millis: 148.5, usercpu_time_millis_testing: 9.062, usercpu_time_millis_training: 139.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.9303, kappa: 0.2757, kb_relative_information_score: 107.2946, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9828, scimark_benchmark: 1728.9285, usercpu_time_millis: 132.101, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 128.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.9257, kappa: 0.2385, kb_relative_information_score: -3213.6478, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9199, predictive_accuracy: 0.9352, prior_entropy: 0.3191, recall: 0.9352, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.972, scimark_benchmark: 1733.3606, usercpu_time_millis: 129.098, usercpu_time_millis_testing: 5.212, usercpu_time_millis_training: 123.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.916, kappa: 0.0583, kb_relative_information_score: -11578.3269, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9047, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9403, scimark_benchmark: 1760.3664, usercpu_time_millis: 112.033, usercpu_time_millis_testing: 7.173, usercpu_time_millis_training: 104.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.9143, kappa: 0.0233, kb_relative_information_score: -10761.9764, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8996, predictive_accuracy: 0.9389, prior_entropy: 0.3191, recall: 0.9389, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9183, scimark_benchmark: 1724.8648, usercpu_time_millis: 88.655, usercpu_time_millis_testing: 7.195, usercpu_time_millis_training: 81.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.914, kb_relative_information_score: -12419.1651, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9902, scimark_benchmark: 1728.0111, usercpu_time_millis: 67.403, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 64.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.9303, kappa: 0.2697, kb_relative_information_score: -273.0875, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9746, scimark_benchmark: 1719.1466, usercpu_time_millis: 306.959, usercpu_time_millis_testing: 13.444, usercpu_time_millis_training: 293.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.9148, kappa: 0.039, kb_relative_information_score: -10602.8115, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9016, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9241, scimark_benchmark: 1997.7914, usercpu_time_millis: 44.942, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 42.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.9307, kappa: 0.2831, kb_relative_information_score: 533.7133, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9877, scimark_benchmark: 1846.8309, usercpu_time_millis: 208.468, usercpu_time_millis_testing: 7.564, usercpu_time_millis_training: 200.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.9152, kappa: 0.0462, kb_relative_information_score: -11513.0381, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9025, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9362, scimark_benchmark: 1848.8462, usercpu_time_millis: 190.788, usercpu_time_millis_testing: 9.451, usercpu_time_millis_training: 181.337,

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