Task
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: 0.7399, f_measure: 0.9309, kappa: 0.2841, kb_relative_information_score: 520.2563, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9264, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9864, scimark_benchmark: 1220.5343, usercpu_time_millis: 150.268, usercpu_time_millis_testing: 4.611, usercpu_time_millis_training: 145.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.914, kb_relative_information_score: -8223.8354, 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: 0.9892, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9914, scimark_benchmark: 1201.6928, usercpu_time_millis: 77.386, usercpu_time_millis_testing: 8.805, usercpu_time_millis_training: 68.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.9287, kappa: 0.2236, kb_relative_information_score: -3636.0826, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9271, predictive_accuracy: 0.9437, prior_entropy: 0.3191, recall: 0.9437, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8938, scimark_benchmark: 1212.878, usercpu_time_millis: 70.462, usercpu_time_millis_testing: 5.484, usercpu_time_millis_training: 64.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.9223, kappa: 0.1121, kb_relative_information_score: -13687.4677, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9368, predictive_accuracy: 0.9449, prior_entropy: 0.3191, recall: 0.9449, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8823, scimark_benchmark: 1218.4249, usercpu_time_millis: 276.844, usercpu_time_millis_testing: 20.574, usercpu_time_millis_training: 256.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.9162, kappa: 0.0632, kb_relative_information_score: -11550.1341, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9052, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9515, scimark_benchmark: 1216.7604, usercpu_time_millis: 21.989, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 21.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.9147, kappa: 0.0391, kb_relative_information_score: -11955.5591, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9519, scimark_benchmark: 1205.6894, usercpu_time_millis: 100.187, usercpu_time_millis_testing: 5.817, usercpu_time_millis_training: 94.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.9288, kappa: 0.2526, kb_relative_information_score: -807.0377, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.924, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9801, scimark_benchmark: 1219.3426, usercpu_time_millis: 51.131, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 49.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.9275, kappa: 0.2522, kb_relative_information_score: -1395.556, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.922, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9642, scimark_benchmark: 1213.0982, usercpu_time_millis: 128.548, usercpu_time_millis_testing: 5.963, usercpu_time_millis_training: 122.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14073.5754, 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: 0.936, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9504, scimark_benchmark: 1218.774, usercpu_time_millis: 171.609, usercpu_time_millis_testing: 6.918, usercpu_time_millis_training: 164.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: 3.2429, 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: 1213.2373, usercpu_time_millis: 48.35, usercpu_time_millis_testing: 11.26, usercpu_time_millis_training: 37.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.914, kb_relative_information_score: -7237.0385, mean_absolute_error: 0.1086, 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: 0.9952, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9967, scimark_benchmark: 1230.7649, usercpu_time_millis: 62.345, usercpu_time_millis_testing: 7.719, usercpu_time_millis_training: 54.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.9288, kappa: 0.263, kb_relative_information_score: -1188.3248, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9237, predictive_accuracy: 0.9388, prior_entropy: 0.3191, recall: 0.9388, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9862, scimark_benchmark: 1221.2783, usercpu_time_millis: 360.66, usercpu_time_millis_testing: 10.388, usercpu_time_millis_training: 350.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.9311, kappa: 0.2814, kb_relative_information_score: 1338.9231, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9269, predictive_accuracy: 0.9415, prior_entropy: 0.3191, recall: 0.9415, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9472, scimark_benchmark: 1224.9034, usercpu_time_millis: 40.27, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 38.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.914, kb_relative_information_score: -14029.8412, mean_absolute_error: 0.1062, 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: 0.9738, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9812, scimark_benchmark: 1216.7274, usercpu_time_millis: 271.691, usercpu_time_millis_testing: 13.602, usercpu_time_millis_training: 258.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.914, kb_relative_information_score: -10409.9983, 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: 0.9898, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.9927, scimark_benchmark: 1231.8302, usercpu_time_millis: 87.593, usercpu_time_millis_testing: 5.39, usercpu_time_millis_training: 82.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9252, kappa: 0.2164, kb_relative_information_score: -5992.7639, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.919, predictive_accuracy: 0.9368, prior_entropy: 0.3191, recall: 0.9368, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9454, scimark_benchmark: 1234.6182, usercpu_time_millis: 154.854, usercpu_time_millis_testing: 11.783, usercpu_time_millis_training: 143.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9315, kappa: 0.285, kb_relative_information_score: 947.9197, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9275, predictive_accuracy: 0.9419, prior_entropy: 0.3191, recall: 0.9419, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9413, scimark_benchmark: 1252.1259, usercpu_time_millis: 318.012, usercpu_time_millis_testing: 19.188, usercpu_time_millis_training: 298.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.9147, kappa: 0.0331, kb_relative_information_score: -10830.5721, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9012, predictive_accuracy: 0.9384, prior_entropy: 0.3191, recall: 0.9384, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.9171, scimark_benchmark: 1210.3873, usercpu_time_millis: 20.261, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 19.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.9265, kappa: 0.2399, kb_relative_information_score: -1768.0749, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9207, predictive_accuracy: 0.9367, prior_entropy: 0.3191, recall: 0.9367, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9771, scimark_benchmark: 1237.9951, usercpu_time_millis: 110.702, usercpu_time_millis_testing: 6.115, usercpu_time_millis_training: 104.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.9305, kappa: 0.2745, kb_relative_information_score: -15.7382, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9762, scimark_benchmark: 1242.7887, usercpu_time_millis: 215.382, usercpu_time_millis_testing: 12.245, usercpu_time_millis_training: 203.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -52.1588, mean_absolute_error: 0.109, 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: 0.9994, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1246.0356, usercpu_time_millis: 7.872, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 6.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9371, kappa: 0.3196, kb_relative_information_score: -10244.0283, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9401, predictive_accuracy: 0.9497, prior_entropy: 0.3191, recall: 0.9497, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.8531, scimark_benchmark: 1239.2578, usercpu_time_millis: 51.181, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 49.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.9163, kappa: 0.0335, kb_relative_information_score: -13336.5544, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9302, scimark_benchmark: 1225.988, usercpu_time_millis: 1024.592, usercpu_time_millis_testing: 24.729, usercpu_time_millis_training: 999.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.9152, kappa: 0.0158, kb_relative_information_score: -10057.3236, mean_absolute_error: 0.0963, 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: 0.8829, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9076, scimark_benchmark: 1233.8238, usercpu_time_millis: 275.694, usercpu_time_millis_testing: 22.857, usercpu_time_millis_training: 252.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.914, kb_relative_information_score: -12807.0973, mean_absolute_error: 0.1071, 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: 0.9812, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9853, scimark_benchmark: 1212.0055, usercpu_time_millis: 124.111, usercpu_time_millis_testing: 8.346, usercpu_time_millis_training: 115.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.9315, kappa: 0.2849, kb_relative_information_score: 1109.282, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9274, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9437, scimark_benchmark: 1219.3446, usercpu_time_millis: 83.752, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 79.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.9138, kappa: 0.0012, kb_relative_information_score: -11607.6404, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.893, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9122, scimark_benchmark: 1216.0667, usercpu_time_millis: 117.418, usercpu_time_millis_testing: 12.401, usercpu_time_millis_training: 105.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.9352, kappa: 0.2937, kb_relative_information_score: -9734.685, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9388, predictive_accuracy: 0.9489, prior_entropy: 0.3191, recall: 0.9489, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.8519, scimark_benchmark: 1210.4635, usercpu_time_millis: 668.636, usercpu_time_millis_testing: 29.455, usercpu_time_millis_training: 639.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.9156, kappa: 0.022, kb_relative_information_score: -12686.0396, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9311, predictive_accuracy: 0.9426, prior_entropy: 0.3191, recall: 0.9426, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.9191, scimark_benchmark: 1211.5154, usercpu_time_millis: 142.823, usercpu_time_millis_testing: 3.506, usercpu_time_millis_training: 139.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.914, kb_relative_information_score: -7320.3306, mean_absolute_error: 0.0928, 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: 0.8504, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9207, scimark_benchmark: 1220.0539, usercpu_time_millis: 98.953, usercpu_time_millis_testing: 9.416, usercpu_time_millis_training: 89.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -44.93, mean_absolute_error: 0.109, 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: 0.9995, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1226.5498, usercpu_time_millis: 29.686, usercpu_time_millis_testing: 3.699, usercpu_time_millis_training: 25.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.9236, kappa: 0.209, kb_relative_information_score: -5754.1456, mean_absolute_error: 0.0774, 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: 0.7098, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2341, root_relative_squared_error: 1.0025, scimark_benchmark: 1206.7715, usercpu_time_millis: 159.706, usercpu_time_millis_testing: 6.052, usercpu_time_millis_training: 153.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.9266, kappa: 0.1737, kb_relative_information_score: -10311.2055, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9362, predictive_accuracy: 0.9462, prior_entropy: 0.3191, recall: 0.9462, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.8705, scimark_benchmark: 1209.1187, usercpu_time_millis: 381.63, usercpu_time_millis_testing: 18.523, usercpu_time_millis_training: 363.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13307.9811, 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: 0.9123, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.9326, scimark_benchmark: 1242.5995, usercpu_time_millis: 400.916, usercpu_time_millis_testing: 14.948, usercpu_time_millis_training: 385.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.914, kb_relative_information_score: -11115.328, 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: 0.9885, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9918, scimark_benchmark: 1216.8964, usercpu_time_millis: 209.105, usercpu_time_millis_testing: 10.748, usercpu_time_millis_training: 198.357,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.9395, kappa: 0.3523, kb_relative_information_score: -7984.9458, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9414, predictive_accuracy: 0.9507, prior_entropy: 0.3191, recall: 0.9507, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.8443, scimark_benchmark: 1194.5577, usercpu_time_millis: 379.937, usercpu_time_millis_testing: 14.562, usercpu_time_millis_training: 365.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13369.7081, mean_absolute_error: 0.0999, 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: 0.9161, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9329, scimark_benchmark: 1212.5213, usercpu_time_millis: 639.444, usercpu_time_millis_testing: 23.735, usercpu_time_millis_training: 615.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.9301, kappa: 0.269, kb_relative_information_score: -346.0343, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.978, scimark_benchmark: 1200.3206, usercpu_time_millis: 219.182, usercpu_time_millis_testing: 11.548, usercpu_time_millis_training: 207.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.9305, kappa: 0.2787, kb_relative_information_score: 302.2397, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9826, scimark_benchmark: 1216.4044, usercpu_time_millis: 270.627, usercpu_time_millis_testing: 9.636, usercpu_time_millis_training: 260.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.9224, kappa: 0.2046, kb_relative_information_score: -6723.4198, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9157, predictive_accuracy: 0.9323, prior_entropy: 0.3191, recall: 0.9323, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9983, scimark_benchmark: 1187.6301, usercpu_time_millis: 382.845, usercpu_time_millis_testing: 9.278, usercpu_time_millis_training: 373.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: 0.9459, 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: 1211.7633, usercpu_time_millis: 78.13, usercpu_time_millis_testing: 8.296, usercpu_time_millis_training: 69.834,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.914, kb_relative_information_score: -11252.1013, 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: 0.9864, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9898, scimark_benchmark: 1198.7862, usercpu_time_millis: 138.934, usercpu_time_millis_testing: 7.938, usercpu_time_millis_training: 130.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.9145, kappa: 0.0359, kb_relative_information_score: -10645.5236, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9588, scimark_benchmark: 1210.1687, usercpu_time_millis: 15.436, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 15.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9146, kappa: 0.0069, kb_relative_information_score: -11789.1328, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9423, prior_entropy: 0.3191, recall: 0.9423, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9456, scimark_benchmark: 1271.8258, usercpu_time_millis: 223.068, usercpu_time_millis_testing: 15.574, usercpu_time_millis_training: 207.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14240.8978, mean_absolute_error: 0.1008, 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: 0.9239, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.917, scimark_benchmark: 1119.9759, usercpu_time_millis: 173.45, usercpu_time_millis_testing: 22.692, usercpu_time_millis_training: 150.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -10663.7776, mean_absolute_error: 0.0977, 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: 0.8955, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.9152, scimark_benchmark: 1198.4381, usercpu_time_millis: 344.019, usercpu_time_millis_testing: 25.783, usercpu_time_millis_training: 318.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.94, kappa: 0.3591, kb_relative_information_score: -7160.8827, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9418, predictive_accuracy: 0.9509, prior_entropy: 0.3191, recall: 0.9509, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.8432, scimark_benchmark: 1143.7404, usercpu_time_millis: 253.341, usercpu_time_millis_testing: 13.726, usercpu_time_millis_training: 239.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.914, kappa: -0.0002, kb_relative_information_score: -11642.1234, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.942, prior_entropy: 0.3191, recall: 0.942, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.9161, scimark_benchmark: 1005.4485, usercpu_time_millis: 154.386, usercpu_time_millis_testing: 12.938, usercpu_time_millis_training: 141.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14438.6222, mean_absolute_error: 0.1045, 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: 0.9579, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9687, scimark_benchmark: 1080.4868, usercpu_time_millis: 162.427, usercpu_time_millis_testing: 7.642, usercpu_time_millis_training: 154.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -14780.684, mean_absolute_error: 0.1049, 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: 0.9619, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9676, scimark_benchmark: 1181.8147, usercpu_time_millis: 234.301, usercpu_time_millis_testing: 17.414, usercpu_time_millis_training: 216.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9165, kappa: 0.0672, kb_relative_information_score: -11665.334, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9058, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9482, scimark_benchmark: 1108.0562, usercpu_time_millis: 237.599, usercpu_time_millis_testing: 12.755, usercpu_time_millis_training: 224.844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.9462, kappa: 0.4611, kb_relative_information_score: -2933.4936, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9443, predictive_accuracy: 0.9515, prior_entropy: 0.3191, recall: 0.9515, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.8489, scimark_benchmark: 1038.1495, usercpu_time_millis: 764.51, usercpu_time_millis_testing: 22.381, usercpu_time_millis_training: 742.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -18.6537, 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: 1208.458, usercpu_time_millis: 63.48, usercpu_time_millis_testing: 5.838, usercpu_time_millis_training: 57.642,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.914, kb_relative_information_score: -12299.6727, 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: 0.9901, scimark_benchmark: 1223.5235, usercpu_time_millis: 376.887, usercpu_time_millis_testing: 19.112, usercpu_time_millis_training: 357.775,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.914, kb_relative_information_score: -10431.0031, 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: 0.2311, root_relative_squared_error: 0.9897, scimark_benchmark: 1193.8161, usercpu_time_millis: 184.983, usercpu_time_millis_testing: 13.531, usercpu_time_millis_training: 171.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.914, kb_relative_information_score: -12000.4043, mean_absolute_error: 0.1044, 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: 0.9569, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9654, scimark_benchmark: 1135.738, usercpu_time_millis: 337.66, usercpu_time_millis_testing: 27.932, usercpu_time_millis_training: 309.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -42.2674, 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: 1160.2611, usercpu_time_millis: 41.604, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 38.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: -11.6473, 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: 1212.6115, usercpu_time_millis: 34.762, usercpu_time_millis_testing: 4.421, usercpu_time_millis_training: 30.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.914, kb_relative_information_score: -7473.0168, 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: 0.9947, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9961, scimark_benchmark: 1125.172, usercpu_time_millis: 95.655, usercpu_time_millis_testing: 6.506, usercpu_time_millis_training: 89.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.914, kb_relative_information_score: -5860.6011, mean_absolute_error: 0.1086, 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: 0.9958, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9967, scimark_benchmark: 1162.4328, usercpu_time_millis: 33.334, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 30.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -8.2351, 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: 1139.2677, usercpu_time_millis: 100.723, usercpu_time_millis_testing: 7.725, usercpu_time_millis_training: 92.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.9285, kappa: 0.2484, kb_relative_information_score: -976.9479, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9236, predictive_accuracy: 0.94, prior_entropy: 0.3191, recall: 0.94, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9567, scimark_benchmark: 1102.1374, usercpu_time_millis: 180.53, usercpu_time_millis_testing: 15.87, usercpu_time_millis_training: 164.66,

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