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: 0.8156, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13917.3146, mean_absolute_error: 0.102, 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: 0.9348, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9495, scimark_benchmark: 1422.6478, usercpu_time_millis: 589.82, usercpu_time_millis_testing: 26.89, usercpu_time_millis_training: 562.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.9289, kappa: 0.2062, kb_relative_information_score: -9083.5925, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9468, prior_entropy: 0.3191, recall: 0.9468, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.8625, scimark_benchmark: 1373.3284, usercpu_time_millis: 735.1, usercpu_time_millis_testing: 42.92, usercpu_time_millis_training: 692.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.9203, kappa: 0.1017, kb_relative_information_score: -8019.3802, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9183, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8998, scimark_benchmark: 1395.9881, usercpu_time_millis: 197.59, usercpu_time_millis_testing: 28.34, usercpu_time_millis_training: 169.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.9433, kappa: 0.4054, kb_relative_information_score: -6309.7803, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9436, predictive_accuracy: 0.9521, prior_entropy: 0.3191, recall: 0.9521, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.196, root_relative_squared_error: 0.8393, scimark_benchmark: 1423.0816, usercpu_time_millis: 1095.14, usercpu_time_millis_testing: 36.78, usercpu_time_millis_training: 1058.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.9296, kappa: 0.2372, kb_relative_information_score: -2751.9112, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9279, predictive_accuracy: 0.9439, prior_entropy: 0.3191, recall: 0.9439, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8929, scimark_benchmark: 1387.7085, usercpu_time_millis: 243.75, usercpu_time_millis_testing: 19.63, usercpu_time_millis_training: 224.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9291, kappa: 0.2573, kb_relative_information_score: -769.4239, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9633, scimark_benchmark: 1341.958, usercpu_time_millis: 326.54, usercpu_time_millis_testing: 22.4, usercpu_time_millis_training: 304.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14223.9728, mean_absolute_error: 0.1028, 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: 0.9422, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9554, scimark_benchmark: 1383.7348, usercpu_time_millis: 497.77, usercpu_time_millis_testing: 22.73, usercpu_time_millis_training: 475.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.9255, kappa: 0.1586, kb_relative_information_score: -9817.0472, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9351, predictive_accuracy: 0.9457, prior_entropy: 0.3191, recall: 0.9457, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.8717, scimark_benchmark: 1333.1859, usercpu_time_millis: 1339.83, usercpu_time_millis_testing: 30.33, usercpu_time_millis_training: 1309.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9262, kappa: 0.2343, kb_relative_information_score: -2890.7152, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9204, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9484, scimark_benchmark: 1394.4701, usercpu_time_millis: 34.02, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 32.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.9271, kappa: 0.1828, kb_relative_information_score: -10841.5452, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9341, predictive_accuracy: 0.9459, prior_entropy: 0.3191, recall: 0.9459, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.8675, scimark_benchmark: 1380.8523, usercpu_time_millis: 254.16, usercpu_time_millis_testing: 15.08, usercpu_time_millis_training: 239.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.9316, kappa: 0.2697, kb_relative_information_score: -52.2332, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9292, predictive_accuracy: 0.9441, prior_entropy: 0.3191, recall: 0.9441, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8929, scimark_benchmark: 1361.8367, usercpu_time_millis: 163.15, usercpu_time_millis_testing: 12.92, usercpu_time_millis_training: 150.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9217, kappa: 0.1223, kb_relative_information_score: -6783.2637, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.92, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8969, scimark_benchmark: 1391.6133, usercpu_time_millis: 226.75, usercpu_time_millis_testing: 19.58, usercpu_time_millis_training: 207.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.9177, kappa: 0.0508, kb_relative_information_score: -11297.8141, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.9001, scimark_benchmark: 1411.2271, usercpu_time_millis: 410.33, usercpu_time_millis_testing: 10.95, usercpu_time_millis_training: 399.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.9264, kappa: 0.2403, kb_relative_information_score: -2946.378, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9206, predictive_accuracy: 0.9364, prior_entropy: 0.3191, recall: 0.9364, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9598, scimark_benchmark: 1351.3757, usercpu_time_millis: 149.77, usercpu_time_millis_testing: 6.98, usercpu_time_millis_training: 142.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14354.0815, mean_absolute_error: 0.1033, 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: 0.947, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.96, scimark_benchmark: 1404.4453, usercpu_time_millis: 203.54, usercpu_time_millis_testing: 9.68, usercpu_time_millis_training: 193.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14274.3392, mean_absolute_error: 0.1016, 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: 0.9314, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.95, scimark_benchmark: 1453.2393, usercpu_time_millis: 271.71, usercpu_time_millis_testing: 8.53, usercpu_time_millis_training: 263.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9254, kappa: 0.1582, kb_relative_information_score: -9766.5095, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9346, predictive_accuracy: 0.9456, prior_entropy: 0.3191, recall: 0.9456, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8722, scimark_benchmark: 1463.1087, usercpu_time_millis: 32.17, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 31.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.9289, kappa: 0.2526, kb_relative_information_score: -731.0588, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9241, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.963, scimark_benchmark: 1410.4313, usercpu_time_millis: 171.19, usercpu_time_millis_testing: 9.1, usercpu_time_millis_training: 162.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.93, kappa: 0.2598, kb_relative_information_score: -202.0471, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9346, scimark_benchmark: 1333.8596, usercpu_time_millis: 19.91, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 18.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.9237, kappa: 0.1359, kb_relative_information_score: -9477.8461, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9323, predictive_accuracy: 0.9448, prior_entropy: 0.3191, recall: 0.9448, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.8755, scimark_benchmark: 1497.5511, usercpu_time_millis: 269.38, usercpu_time_millis_testing: 6.78, usercpu_time_millis_training: 262.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.9307, kappa: 0.2771, kb_relative_information_score: 386.2126, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9263, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9613, scimark_benchmark: 1315.7218, usercpu_time_millis: 224.9, usercpu_time_millis_testing: 14.11, usercpu_time_millis_training: 210.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.9164, kappa: 0.0318, kb_relative_information_score: -16384.5173, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9362, predictive_accuracy: 0.9429, prior_entropy: 0.3191, recall: 0.9429, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9068, scimark_benchmark: 1431.63, usercpu_time_millis: 199.14, usercpu_time_millis_testing: 18.69, usercpu_time_millis_training: 180.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.9235, kappa: 0.1307, kb_relative_information_score: -8420.8626, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9343, predictive_accuracy: 0.945, prior_entropy: 0.3191, recall: 0.945, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8811, scimark_benchmark: 1419.3183, usercpu_time_millis: 154.34, usercpu_time_millis_testing: 11.6, usercpu_time_millis_training: 142.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.9301, kappa: 0.2783, kb_relative_information_score: 543.3971, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9396, prior_entropy: 0.3191, recall: 0.9396, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9895, scimark_benchmark: 1381.2724, usercpu_time_millis: 271.07, usercpu_time_millis_testing: 9.69, usercpu_time_millis_training: 261.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.914, kb_relative_information_score: -8499.4054, mean_absolute_error: 0.096, 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: 0.8802, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.9257, scimark_benchmark: 1394.5042, usercpu_time_millis: 93.71, usercpu_time_millis_testing: 11.3, usercpu_time_millis_training: 82.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.9151, kappa: 0.0453, kb_relative_information_score: -11316.9309, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9023, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9357, scimark_benchmark: 1442.8847, usercpu_time_millis: 66.75, usercpu_time_millis_testing: 3.09, usercpu_time_millis_training: 63.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.933, kappa: 0.2636, kb_relative_information_score: -10091.0851, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9377, predictive_accuracy: 0.9482, prior_entropy: 0.3191, recall: 0.9482, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.857, scimark_benchmark: 1396.1617, usercpu_time_millis: 215.35, usercpu_time_millis_testing: 8.51, usercpu_time_millis_training: 206.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.9143, kappa: 0.0209, kb_relative_information_score: -11216.0688, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8997, predictive_accuracy: 0.9393, prior_entropy: 0.3191, recall: 0.9393, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.9169, scimark_benchmark: 1353.6867, usercpu_time_millis: 15.07, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 14.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9332, kappa: 0.2676, kb_relative_information_score: -11180.0414, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9376, predictive_accuracy: 0.9482, prior_entropy: 0.3191, recall: 0.9482, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.8582, scimark_benchmark: 1408.1159, usercpu_time_millis: 134.6, usercpu_time_millis_testing: 5.06, usercpu_time_millis_training: 129.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14667.12, mean_absolute_error: 0.1046, 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: 0.959, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9681, scimark_benchmark: 1441.7945, usercpu_time_millis: 69.47, usercpu_time_millis_testing: 2.15, usercpu_time_millis_training: 67.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.9239, kappa: 0.1797, kb_relative_information_score: -8449.8775, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9178, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9308, scimark_benchmark: 1449.378, usercpu_time_millis: 123.87, usercpu_time_millis_testing: 13.19, usercpu_time_millis_training: 110.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.9273, kappa: 0.2513, kb_relative_information_score: -1386.7655, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9218, predictive_accuracy: 0.937, prior_entropy: 0.3191, recall: 0.937, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9811, scimark_benchmark: 1451.1623, usercpu_time_millis: 59.42, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 57.32,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.9147, kappa: 0.037, kb_relative_information_score: -11136.5154, mean_absolute_error: 0.0867, 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: 0.7943, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9394, scimark_benchmark: 1819.3092, usercpu_time_millis: 66.77, usercpu_time_millis_testing: 3.91, usercpu_time_millis_training: 62.86,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.9211, kappa: 0.1371, kb_relative_information_score: -9409.7465, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.914, predictive_accuracy: 0.9383, prior_entropy: 0.3191, recall: 0.9383, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9344, scimark_benchmark: 995.4478, usercpu_time_millis: 126.97, usercpu_time_millis_testing: 11.82, usercpu_time_millis_training: 115.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9299, kappa: 0.2623, kb_relative_information_score: -201.2747, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9543, scimark_benchmark: 977.8528, usercpu_time_millis: 246.88, usercpu_time_millis_testing: 18.08, usercpu_time_millis_training: 228.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.9248, kappa: 0.2186, kb_relative_information_score: -4465.8089, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9184, predictive_accuracy: 0.9356, prior_entropy: 0.3191, recall: 0.9356, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9741, scimark_benchmark: 993.1465, usercpu_time_millis: 253.88, usercpu_time_millis_testing: 11.9, usercpu_time_millis_training: 241.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.9248, kappa: 0.2173, kb_relative_information_score: -4799.8521, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9185, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9621, scimark_benchmark: 653.0756, usercpu_time_millis: 479.27, usercpu_time_millis_testing: 26.88, usercpu_time_millis_training: 452.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14183.2428, mean_absolute_error: 0.1024, 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: 0.9385, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9537, scimark_benchmark: 640.1931, usercpu_time_millis: 440.65, usercpu_time_millis_testing: 23.93, usercpu_time_millis_training: 416.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9446, kappa: 0.4335, kb_relative_information_score: -5449.8447, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9431, predictive_accuracy: 0.9514, prior_entropy: 0.3191, recall: 0.9514, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.8499, scimark_benchmark: 713.5519, usercpu_time_millis: 322.16, usercpu_time_millis_testing: 8.23, usercpu_time_millis_training: 313.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.9293, kappa: 0.2508, kb_relative_information_score: -1128.0548, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9252, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.9253, scimark_benchmark: 1048.3295, usercpu_time_millis: 376.59, usercpu_time_millis_testing: 37, usercpu_time_millis_training: 339.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.9262, kappa: 0.2377, kb_relative_information_score: -1722.6563, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9912, scimark_benchmark: 665.8376, usercpu_time_millis: 247.46, usercpu_time_millis_testing: 12.53, usercpu_time_millis_training: 234.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -355.1513, mean_absolute_error: 0.1092, 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: 1.0008, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 946.0082, usercpu_time_millis: 5.32, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9146, kappa: 0.0362, kb_relative_information_score: -11810.5868, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9008, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9378, scimark_benchmark: 1046.1914, usercpu_time_millis: 193.9, usercpu_time_millis_testing: 12.91, usercpu_time_millis_training: 180.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.9144, kappa: 0.0162, kb_relative_information_score: -9628.7146, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9005, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.9176, scimark_benchmark: 633.9674, usercpu_time_millis: 31.86, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 29.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14689.6804, mean_absolute_error: 0.1036, 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: 0.9494, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9623, scimark_benchmark: 1793.7813, usercpu_time_millis: 412.155, usercpu_time_millis_testing: 17.528, usercpu_time_millis_training: 394.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.9171, kappa: 0.0412, kb_relative_information_score: -13518.5448, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9375, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.9017, scimark_benchmark: 1789.9773, usercpu_time_millis: 320.887, usercpu_time_millis_testing: 17.683, usercpu_time_millis_training: 303.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.9152, kappa: 0.0148, kb_relative_information_score: -12985.6022, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9459, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.9138, scimark_benchmark: 2126.9497, usercpu_time_millis: 247.083, usercpu_time_millis_testing: 12.729, usercpu_time_millis_training: 234.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.9305, kappa: 0.2757, kb_relative_information_score: -337.9006, mean_absolute_error: 0.0686, 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: 0.6292, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9794, scimark_benchmark: 1799.9728, usercpu_time_millis: 250.099, usercpu_time_millis_testing: 9.679, usercpu_time_millis_training: 240.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.9238, kappa: 0.2066, kb_relative_information_score: -5122.3348, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9172, predictive_accuracy: 0.9351, prior_entropy: 0.3191, recall: 0.9351, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.998, scimark_benchmark: 1772.1046, usercpu_time_millis: 242.375, usercpu_time_millis_testing: 9.375, usercpu_time_millis_training: 233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.9293, kappa: 0.2573, kb_relative_information_score: -697.1361, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9633, scimark_benchmark: 1852.9259, usercpu_time_millis: 230.272, usercpu_time_millis_testing: 12.874, usercpu_time_millis_training: 217.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.937, kappa: 0.3197, kb_relative_information_score: -8759.2604, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9397, predictive_accuracy: 0.9496, prior_entropy: 0.3191, recall: 0.9496, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.199, root_relative_squared_error: 0.8521, scimark_benchmark: 1736.5552, usercpu_time_millis: 147.67, usercpu_time_millis_testing: 3.181, usercpu_time_millis_training: 144.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.914, kb_relative_information_score: -12758.5781, mean_absolute_error: 0.1065, 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: 0.9757, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9815, scimark_benchmark: 1849.4321, usercpu_time_millis: 140.095, usercpu_time_millis_testing: 10.729, usercpu_time_millis_training: 129.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.9222, kappa: 0.2057, kb_relative_information_score: -6043.6599, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9156, predictive_accuracy: 0.9316, prior_entropy: 0.3191, recall: 0.9316, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2365, root_relative_squared_error: 1.0125, scimark_benchmark: 1796.6859, usercpu_time_millis: 141.722, usercpu_time_millis_testing: 4.268, usercpu_time_millis_training: 137.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14470.4645, mean_absolute_error: 0.1046, 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: 0.9585, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9647, scimark_benchmark: 1734.2699, usercpu_time_millis: 119.401, usercpu_time_millis_testing: 8.452, usercpu_time_millis_training: 110.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.9268, kappa: 0.2354, kb_relative_information_score: -1627.4056, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9212, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9539, scimark_benchmark: 1847.7442, usercpu_time_millis: 114.867, usercpu_time_millis_testing: 10.213, usercpu_time_millis_training: 104.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.9139, kappa: 0.0117, kb_relative_information_score: -10515.3805, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8975, predictive_accuracy: 0.9399, prior_entropy: 0.3191, recall: 0.9399, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9181, scimark_benchmark: 1782.739, usercpu_time_millis: 104.44, usercpu_time_millis_testing: 7.955, usercpu_time_millis_training: 96.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.9258, kappa: 0.2336, kb_relative_information_score: -2423.0614, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9198, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9852, scimark_benchmark: 1730.591, usercpu_time_millis: 94.822, usercpu_time_millis_testing: 5.126, usercpu_time_millis_training: 89.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -14219.1934, mean_absolute_error: 0.1046, 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: 0.959, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9671, scimark_benchmark: 1797.2973, usercpu_time_millis: 90.591, usercpu_time_millis_testing: 6.048, usercpu_time_millis_training: 84.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.914, kb_relative_information_score: -5929.819, 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: 0.9945, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9957, scimark_benchmark: 1733.3606, usercpu_time_millis: 72.929, usercpu_time_millis_testing: 9.401, usercpu_time_millis_training: 63.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.9257, kappa: 0.2094, kb_relative_information_score: -5842.3556, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9201, predictive_accuracy: 0.9389, prior_entropy: 0.3191, recall: 0.9389, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.924, scimark_benchmark: 1749.1524, usercpu_time_millis: 74.886, usercpu_time_millis_testing: 4.495, usercpu_time_millis_training: 70.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9307, kappa: 0.2777, kb_relative_information_score: 584.163, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.9627, scimark_benchmark: 1853.9121, usercpu_time_millis: 62.166, usercpu_time_millis_testing: 3.009, usercpu_time_millis_training: 59.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.9252, kappa: 0.2252, kb_relative_information_score: -3550.8321, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.919, predictive_accuracy: 0.9357, prior_entropy: 0.3191, recall: 0.9357, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9894, scimark_benchmark: 1736.9559, usercpu_time_millis: 62.025, usercpu_time_millis_testing: 3.35, usercpu_time_millis_training: 58.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -16583.5586, mean_absolute_error: 0.104, 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: 0.9533, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9451, scimark_benchmark: 1735.5975, usercpu_time_millis: 55.299, usercpu_time_millis_testing: 2.696, usercpu_time_millis_training: 52.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.9296, kappa: 0.2671, kb_relative_information_score: -213.1736, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9248, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9815, scimark_benchmark: 1731.5003, usercpu_time_millis: 38.659, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 37.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.914, kb_relative_information_score: -4558.9688, mean_absolute_error: 0.1087, 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: 0.9963, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9971, scimark_benchmark: 1782.9961, usercpu_time_millis: 44.24, usercpu_time_millis_testing: 5.714, usercpu_time_millis_training: 38.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.9208, kappa: 0.1411, kb_relative_information_score: -9729.4606, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9131, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9528, scimark_benchmark: 1729.728, usercpu_time_millis: 9.046, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 8.734,

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