OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 9911 Supervised Classification Amazon_employee_access 10955 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.9303, kappa: 0.2728, kb_relative_information_score: -43.954, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9813, scimark_benchmark: 1853.9121, usercpu_time_millis: 81.03, usercpu_time_millis_testing: 3.409, usercpu_time_millis_training: 77.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.9195, kappa: 0.0744, kb_relative_information_score: -17584.4497, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9389, predictive_accuracy: 0.9441, prior_entropy: 0.3191, recall: 0.9441, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8962, scimark_benchmark: 1850.3603, usercpu_time_millis: 70.685, usercpu_time_millis_testing: 3.813, usercpu_time_millis_training: 66.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.9143, kappa: 0.0038, kb_relative_information_score: -5506.7205, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9342, scimark_benchmark: 1854.4431, usercpu_time_millis: 63.865, usercpu_time_millis_testing: 6.194, usercpu_time_millis_training: 57.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.9267, kappa: 0.1913, kb_relative_information_score: -5022.8285, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8953, scimark_benchmark: 2126.6273, usercpu_time_millis: 67.445, usercpu_time_millis_testing: 7.968, usercpu_time_millis_training: 59.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.914, kb_relative_information_score: -12125.6044, mean_absolute_error: 0.1052, 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: 0.9647, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9709, scimark_benchmark: 1853.454, usercpu_time_millis: 57.122, usercpu_time_millis_testing: 5.028, usercpu_time_millis_training: 52.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.914, kb_relative_information_score: -12241.7502, mean_absolute_error: 0.1055, 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: 0.9667, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9719, scimark_benchmark: 1960.4941, usercpu_time_millis: 52.54, usercpu_time_millis_testing: 6.015, usercpu_time_millis_training: 46.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9304, kappa: 0.2661, kb_relative_information_score: 127.6999, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.9339, scimark_benchmark: 2141.6178, usercpu_time_millis: 60.4, usercpu_time_millis_testing: 5.626, usercpu_time_millis_training: 54.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9374, kappa: 0.3245, kb_relative_information_score: -8816.84, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9401, predictive_accuracy: 0.9498, prior_entropy: 0.3191, recall: 0.9498, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.8517, scimark_benchmark: 1850.2875, usercpu_time_millis: 32.362, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 31.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.9146, kappa: 0.0364, kb_relative_information_score: -11659.3648, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.901, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9412, scimark_benchmark: 1850.2875, usercpu_time_millis: 23.845, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 22.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.9229, kappa: 0.1943, kb_relative_information_score: -8463.7321, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9159, predictive_accuracy: 0.9347, prior_entropy: 0.3191, recall: 0.9347, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9623, scimark_benchmark: 2129.1337, usercpu_time_millis: 23.636, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 22.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.914, kb_relative_information_score: -7406.1297, mean_absolute_error: 0.1085, 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: 0.9943, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9958, scimark_benchmark: 1964.5703, usercpu_time_millis: 10.431, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 9.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.914, kb_relative_information_score: -11582.205, mean_absolute_error: 0.0939, 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: 0.8609, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9182, scimark_benchmark: 2144.9201, usercpu_time_millis: 15.383, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 14.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.9247, kappa: 0.1479, kb_relative_information_score: -9985.6035, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9341, predictive_accuracy: 0.9453, prior_entropy: 0.3191, recall: 0.9453, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.204, root_relative_squared_error: 0.8733, scimark_benchmark: 1840.2451, usercpu_time_millis: 158.645, usercpu_time_millis_testing: 5.718, usercpu_time_millis_training: 152.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -117.2474, 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: 1.0002, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1833.1466, usercpu_time_millis: 76.05, usercpu_time_millis_testing: 4.402, usercpu_time_millis_training: 71.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.9224, kappa: 0.1485, kb_relative_information_score: -8061.9532, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9168, predictive_accuracy: 0.9397, prior_entropy: 0.3191, recall: 0.9397, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.912, scimark_benchmark: 1832.1735, usercpu_time_millis: 66.987, usercpu_time_millis_testing: 7.382, usercpu_time_millis_training: 59.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.914, kb_relative_information_score: -10428.1494, mean_absolute_error: 0.0997, 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: 0.9141, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9407, scimark_benchmark: 1830.7616, usercpu_time_millis: 65.225, usercpu_time_millis_testing: 6.904, usercpu_time_millis_training: 58.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.9272, kappa: 0.2374, kb_relative_information_score: -2225.2689, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9217, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9379, scimark_benchmark: 1728.8869, usercpu_time_millis: 44.205, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 41.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -14438.7496, mean_absolute_error: 0.1042, 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: 0.9555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9658, scimark_benchmark: 1840.8345, usercpu_time_millis: 44.663, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 42.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.914, kb_relative_information_score: -8967.6711, mean_absolute_error: 0.0957, 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: 0.8768, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9255, scimark_benchmark: 1841.1522, usercpu_time_millis: 16.643, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 15.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13297.7515, mean_absolute_error: 0.1032, 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: 0.9462, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9578, scimark_benchmark: 1849.3014, usercpu_time_millis: 180.845, usercpu_time_millis_testing: 14.704, usercpu_time_millis_training: 166.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.9278, kappa: 0.1906, kb_relative_information_score: -9012.5645, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9355, predictive_accuracy: 0.9464, prior_entropy: 0.3191, recall: 0.9464, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.8676, scimark_benchmark: 1850.2875, usercpu_time_millis: 96.938, usercpu_time_millis_testing: 3.681, usercpu_time_millis_training: 93.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.9225, kappa: 0.2023, kb_relative_information_score: -7327.5606, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9157, predictive_accuracy: 0.9328, prior_entropy: 0.3191, recall: 0.9328, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9867, scimark_benchmark: 1848.388, usercpu_time_millis: 160.731, usercpu_time_millis_testing: 9.821, usercpu_time_millis_training: 150.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.9157, kappa: 0.0232, kb_relative_information_score: -12472.7163, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9427, prior_entropy: 0.3191, recall: 0.9427, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.9143, scimark_benchmark: 2128.1254, usercpu_time_millis: 177.017, usercpu_time_millis_testing: 4.47, usercpu_time_millis_training: 172.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.9187, kappa: 0.0631, kb_relative_information_score: -11327.1042, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9437, prior_entropy: 0.3191, recall: 0.9437, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8954, scimark_benchmark: 1953.4993, usercpu_time_millis: 126.506, usercpu_time_millis_testing: 3.134, usercpu_time_millis_training: 123.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.9236, kappa: 0.2086, kb_relative_information_score: -6462.8377, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9169, predictive_accuracy: 0.9342, prior_entropy: 0.3191, recall: 0.9342, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9905, scimark_benchmark: 1812.9128, usercpu_time_millis: 106.198, usercpu_time_millis_testing: 3.939, usercpu_time_millis_training: 102.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.914, kb_relative_information_score: -11840.4008, mean_absolute_error: 0.0937, 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: 0.8586, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9182, scimark_benchmark: 1953.4165, usercpu_time_millis: 86.225, usercpu_time_millis_testing: 10.055, usercpu_time_millis_training: 76.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.915, kappa: 0.0419, kb_relative_information_score: -11174.3144, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.902, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.9319, scimark_benchmark: 1975.6143, usercpu_time_millis: 87.836, usercpu_time_millis_testing: 6.033, usercpu_time_millis_training: 81.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.9246, kappa: 0.2058, kb_relative_information_score: -8013.4802, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9182, predictive_accuracy: 0.9369, prior_entropy: 0.3191, recall: 0.9369, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9454, scimark_benchmark: 1852.5406, usercpu_time_millis: 80.513, usercpu_time_millis_testing: 3.117, usercpu_time_millis_training: 77.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -182.4468, 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: 1.0003, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1947.8858, usercpu_time_millis: 31.239, usercpu_time_millis_testing: 2.847, usercpu_time_millis_training: 28.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9293, kappa: 0.2574, kb_relative_information_score: -528.3057, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9734, scimark_benchmark: 1850.8706, usercpu_time_millis: 73.055, usercpu_time_millis_testing: 4.523, usercpu_time_millis_training: 68.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.914, kb_relative_information_score: -9627.299, 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: 0.9866, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.989, scimark_benchmark: 1973.5073, usercpu_time_millis: 67.296, usercpu_time_millis_testing: 6.68, usercpu_time_millis_training: 60.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.93, kappa: 0.2688, kb_relative_information_score: -175.4011, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.956, scimark_benchmark: 1856.1949, usercpu_time_millis: 68.929, usercpu_time_millis_testing: 3.756, usercpu_time_millis_training: 65.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.9287, kappa: 0.2512, kb_relative_information_score: -1152.3321, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9238, predictive_accuracy: 0.9399, prior_entropy: 0.3191, recall: 0.9399, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9748, scimark_benchmark: 1853.3841, usercpu_time_millis: 67.877, usercpu_time_millis_testing: 6.248, usercpu_time_millis_training: 61.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.9411, kappa: 0.3765, kb_relative_information_score: -7866.1976, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9421, predictive_accuracy: 0.9512, prior_entropy: 0.3191, recall: 0.9512, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.8456, scimark_benchmark: 1986.184, usercpu_time_millis: 19.76, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 18.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.9147, kappa: 0.0373, kb_relative_information_score: -11774.2188, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9429, scimark_benchmark: 1855.0232, usercpu_time_millis: 7.507, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 7.299,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.9147, kappa: 0.0088, kb_relative_information_score: -14672.8147, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9399, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9548, scimark_benchmark: 1852.0126, usercpu_time_millis: 16.289, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 15.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.9298, kappa: 0.2695, kb_relative_information_score: -313.6822, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9709, scimark_benchmark: 1818.9701, usercpu_time_millis: 10.122, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 9.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9179, kappa: 0.0522, kb_relative_information_score: -11743.552, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9359, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.21, root_relative_squared_error: 0.899, scimark_benchmark: 1840.7617, usercpu_time_millis: 348.273, usercpu_time_millis_testing: 11.598, usercpu_time_millis_training: 336.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.9295, kappa: 0.2596, kb_relative_information_score: -562.3878, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9729, scimark_benchmark: 1830.1434, usercpu_time_millis: 247.011, usercpu_time_millis_testing: 12.578, usercpu_time_millis_training: 234.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13211.33, mean_absolute_error: 0.0995, 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: 0.9122, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9301, scimark_benchmark: 1845.8517, usercpu_time_millis: 230.55, usercpu_time_millis_testing: 10.158, usercpu_time_millis_training: 220.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.9224, kappa: 0.2054, kb_relative_information_score: -6377.3377, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9157, predictive_accuracy: 0.9321, prior_entropy: 0.3191, recall: 0.9321, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9928, scimark_benchmark: 1822.1739, usercpu_time_millis: 168.264, usercpu_time_millis_testing: 6.15, usercpu_time_millis_training: 162.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.9286, kappa: 0.2467, kb_relative_information_score: -744.0833, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9238, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9461, scimark_benchmark: 1835.1458, usercpu_time_millis: 159.529, usercpu_time_millis_testing: 10.066, usercpu_time_millis_training: 149.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.9263, kappa: 0.2375, kb_relative_information_score: -2496.4031, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9205, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.963, scimark_benchmark: 1764.9187, usercpu_time_millis: 156.561, usercpu_time_millis_testing: 8.011, usercpu_time_millis_training: 148.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.9149, kappa: 0.0109, kb_relative_information_score: -13202.5572, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9458, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.9155, scimark_benchmark: 1851.8567, usercpu_time_millis: 133.539, usercpu_time_millis_testing: 5.637, usercpu_time_millis_training: 127.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.9177, kappa: 0.0488, kb_relative_information_score: -13340.0381, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.939, predictive_accuracy: 0.9434, prior_entropy: 0.3191, recall: 0.9434, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8997, scimark_benchmark: 1854.1098, usercpu_time_millis: 115.787, usercpu_time_millis_testing: 7.618, usercpu_time_millis_training: 108.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.914, kb_relative_information_score: -10472.497, mean_absolute_error: 0.1078, 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: 0.9883, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9911, scimark_benchmark: 1853.9121, usercpu_time_millis: 112.409, usercpu_time_millis_testing: 9.362, usercpu_time_millis_training: 103.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.914, kb_relative_information_score: -13547.2902, 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: 0.9793, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9851, scimark_benchmark: 1858.6076, usercpu_time_millis: 95.787, usercpu_time_millis_testing: 5.609, usercpu_time_millis_training: 90.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.914, kb_relative_information_score: -12558.3339, mean_absolute_error: 0.1058, 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: 0.9701, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.974, scimark_benchmark: 1843.7454, usercpu_time_millis: 69.471, usercpu_time_millis_testing: 9.501, usercpu_time_millis_training: 59.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.914, kb_relative_information_score: -11607.6092, mean_absolute_error: 0.1072, 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: 0.9823, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9865, scimark_benchmark: 1853.9121, usercpu_time_millis: 68.722, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 63.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.9299, kappa: 0.2573, kb_relative_information_score: -389.3334, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9292, scimark_benchmark: 1855.0232, usercpu_time_millis: 62.195, usercpu_time_millis_testing: 6.291, usercpu_time_millis_training: 55.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.9148, kappa: 0.0377, kb_relative_information_score: -10582.1864, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9015, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9249, scimark_benchmark: 1853.9121, usercpu_time_millis: 54.103, usercpu_time_millis_testing: 2.653, usercpu_time_millis_training: 51.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.914, kb_relative_information_score: -11721.928, 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: 0.9899, scimark_benchmark: 1855.4813, usercpu_time_millis: 46.927, usercpu_time_millis_testing: 3.108, usercpu_time_millis_training: 43.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.9305, kappa: 0.2759, kb_relative_information_score: -324.2497, mean_absolute_error: 0.0686, 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: 0.6285, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9806, scimark_benchmark: 1828.5283, usercpu_time_millis: 43.77, usercpu_time_millis_testing: 1.805, usercpu_time_millis_training: 41.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -19.8747, 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: 1841.8034, usercpu_time_millis: 35.05, usercpu_time_millis_testing: 5.311, usercpu_time_millis_training: 29.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.9305, kappa: 0.2766, kb_relative_information_score: 297.8658, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9821, scimark_benchmark: 1855.0232, usercpu_time_millis: 32.971, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 31.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.914, kb_relative_information_score: -10837.5107, 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: 0.9888, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.992, scimark_benchmark: 1853.454, usercpu_time_millis: 30.56, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 28.81,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.9165, kappa: 0.0682, kb_relative_information_score: -11072.8418, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9057, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9405, scimark_benchmark: 1853.9121, usercpu_time_millis: 8.397, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 8.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.914, kb_relative_information_score: -8100.2411, mean_absolute_error: 0.1085, 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: 0.9944, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9957, scimark_benchmark: 1855.0232, usercpu_time_millis: 6.52, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 6.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9161, kappa: 0.0272, kb_relative_information_score: -16943.0954, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.939, predictive_accuracy: 0.9428, prior_entropy: 0.3191, recall: 0.9428, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.919, scimark_benchmark: 1858.6076, usercpu_time_millis: 3.827, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.914, kb_relative_information_score: -11724.9728, mean_absolute_error: 0.1069, 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: 0.9795, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.982, scimark_benchmark: 1840.8272, usercpu_time_millis: 4.227, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 3.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.914, kb_relative_information_score: -12650.577, mean_absolute_error: 0.1032, 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: 0.9459, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9525, scimark_benchmark: 1746.2153, usercpu_time_millis: 149.459, usercpu_time_millis_testing: 14.82, usercpu_time_millis_training: 134.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9149, kappa: 0.0385, kb_relative_information_score: -10474.3532, mean_absolute_error: 0.089, 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: 0.8161, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9277, scimark_benchmark: 1849.8294, usercpu_time_millis: 144.773, usercpu_time_millis_testing: 9.049, usercpu_time_millis_training: 135.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.9253, kappa: 0.1546, kb_relative_information_score: -11233.2262, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9457, prior_entropy: 0.3191, recall: 0.9457, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.8725, scimark_benchmark: 1850.8437, usercpu_time_millis: 124.72, usercpu_time_millis_testing: 8.535, usercpu_time_millis_training: 116.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.9259, kappa: 0.2351, kb_relative_information_score: -2103.6024, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.92, predictive_accuracy: 0.9361, prior_entropy: 0.3191, recall: 0.9361, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9861, scimark_benchmark: 1744.0085, usercpu_time_millis: 121.464, usercpu_time_millis_testing: 8.881, usercpu_time_millis_training: 112.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -11919.9195, mean_absolute_error: 0.1024, 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: 0.9385, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9498, scimark_benchmark: 1849.7595, usercpu_time_millis: 117.876, usercpu_time_millis_testing: 8.099, usercpu_time_millis_training: 109.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.9292, kappa: 0.2543, kb_relative_information_score: -869.6264, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.9283, scimark_benchmark: 1852.5406, usercpu_time_millis: 115.629, usercpu_time_millis_testing: 6.395, usercpu_time_millis_training: 109.234,

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