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: 0.4996, f_measure: 0.914, kb_relative_information_score: -13.3032, 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: 1373.4671, usercpu_time_millis: 29.518, usercpu_time_millis_testing: 4.818, usercpu_time_millis_training: 24.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14741.6388, mean_absolute_error: 0.104, 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: 0.9531, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9641, scimark_benchmark: 1373.9134, usercpu_time_millis: 49.779, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 48.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9152, kappa: 0.0156, kb_relative_information_score: -11946.4462, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9395, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9059, scimark_benchmark: 1372.847, usercpu_time_millis: 356.852, usercpu_time_millis_testing: 16.657, usercpu_time_millis_training: 340.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.9284, kappa: 0.219, kb_relative_information_score: -3954.9711, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9272, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8936, scimark_benchmark: 1370.0115, usercpu_time_millis: 98.414, usercpu_time_millis_testing: 7.008, usercpu_time_millis_training: 91.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.914, kb_relative_information_score: -9262.8663, 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: 0.9863, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.989, scimark_benchmark: 1367.168, usercpu_time_millis: 84.05, usercpu_time_millis_testing: 9.178, usercpu_time_millis_training: 74.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.914, kb_relative_information_score: -106.9577, 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: 1369.983, usercpu_time_millis: 15.204, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 13.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.9355, kappa: 0.2978, kb_relative_information_score: -6799.9463, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9391, predictive_accuracy: 0.9491, prior_entropy: 0.3191, recall: 0.9491, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.198, root_relative_squared_error: 0.848, scimark_benchmark: 1377.2825, usercpu_time_millis: 113.497, usercpu_time_millis_testing: 5.693, usercpu_time_millis_training: 107.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.9148, kappa: 0.0381, kb_relative_information_score: -11721.607, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9013, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9417, scimark_benchmark: 1381.1849, usercpu_time_millis: 35.259, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 33.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -11.4021, 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: 1376.7801, usercpu_time_millis: 13.659, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 12.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14621.5302, 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: 0.9243, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9244, scimark_benchmark: 1375.3836, usercpu_time_millis: 308.866, usercpu_time_millis_testing: 21.462, usercpu_time_millis_training: 287.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.9168, kappa: 0.0661, kb_relative_information_score: -10129.7074, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9071, predictive_accuracy: 0.9386, prior_entropy: 0.3191, recall: 0.9386, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.914, scimark_benchmark: 1374.8703, usercpu_time_millis: 118.179, usercpu_time_millis_testing: 10.348, usercpu_time_millis_training: 107.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.9265, kappa: 0.2299, kb_relative_information_score: -3670.2596, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.938, prior_entropy: 0.3191, recall: 0.938, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9309, scimark_benchmark: 1377.6121, usercpu_time_millis: 23.79, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 22.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.9164, kappa: 0.0647, kb_relative_information_score: -10683.0313, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9057, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9307, scimark_benchmark: 1377.6396, usercpu_time_millis: 83.471, usercpu_time_millis_testing: 7.813, usercpu_time_millis_training: 75.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -54.685, 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: 1381.1054, usercpu_time_millis: 17.428, usercpu_time_millis_testing: 3.158, usercpu_time_millis_training: 14.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.914, kb_relative_information_score: -7481.1172, mean_absolute_error: 0.1084, 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: 0.9937, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9952, scimark_benchmark: 1375.5966, usercpu_time_millis: 63.172, usercpu_time_millis_testing: 8.022, usercpu_time_millis_training: 55.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.9144, kappa: 0.005, kb_relative_information_score: -13442.7939, mean_absolute_error: 0.1037, 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: 0.9506, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9591, scimark_benchmark: 1372.6347, usercpu_time_millis: 41.749, usercpu_time_millis_testing: 2.898, usercpu_time_millis_training: 38.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.914, kb_relative_information_score: -12319.9547, mean_absolute_error: 0.1066, 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: 0.9769, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.982, scimark_benchmark: 1373.6947, usercpu_time_millis: 36.395, usercpu_time_millis_testing: 2.907, usercpu_time_millis_training: 33.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.9306, kappa: 0.2753, kb_relative_information_score: 304.3042, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9411, prior_entropy: 0.3191, recall: 0.9411, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9725, scimark_benchmark: 1376.8376, usercpu_time_millis: 134.687, usercpu_time_millis_testing: 7.14, usercpu_time_millis_training: 127.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.914, kb_relative_information_score: -7624.0264, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9943, scimark_benchmark: 1377.3549, usercpu_time_millis: 48.321, usercpu_time_millis_testing: 5.601, usercpu_time_millis_training: 42.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.914, kb_relative_information_score: -74.2326, 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, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1374.3023, usercpu_time_millis: 63.054, usercpu_time_millis_testing: 6.776, usercpu_time_millis_training: 56.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9302, kappa: 0.2699, kb_relative_information_score: 245.4619, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.941, prior_entropy: 0.3191, recall: 0.941, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9589, scimark_benchmark: 1374.9945, usercpu_time_millis: 158.352, usercpu_time_millis_testing: 9.478, usercpu_time_millis_training: 148.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.9268, kappa: 0.2315, kb_relative_information_score: -3172.1786, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9213, predictive_accuracy: 0.9385, prior_entropy: 0.3191, recall: 0.9385, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.9321, scimark_benchmark: 1377.6648, usercpu_time_millis: 95.122, usercpu_time_millis_testing: 6.831, usercpu_time_millis_training: 88.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.914, kb_relative_information_score: -13178.2582, mean_absolute_error: 0.1067, 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: 0.9781, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9836, scimark_benchmark: 1378.6609, usercpu_time_millis: 39.812, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 36.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -17.219, 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: 1375.6086, usercpu_time_millis: 42.875, usercpu_time_millis_testing: 5.04, usercpu_time_millis_training: 37.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13479.7265, mean_absolute_error: 0.0994, 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: 0.9109, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.9296, scimark_benchmark: 1367.5633, usercpu_time_millis: 19.93, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 19.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.9302, kappa: 0.2764, kb_relative_information_score: 380.6626, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9845, scimark_benchmark: 1371.2324, usercpu_time_millis: 277.044, usercpu_time_millis_testing: 12.601, usercpu_time_millis_training: 264.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.9294, kappa: 0.2591, kb_relative_information_score: -652.0743, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9247, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9789, scimark_benchmark: 1372.6541, usercpu_time_millis: 132.356, usercpu_time_millis_testing: 6.785, usercpu_time_millis_training: 125.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.9305, kappa: 0.2823, kb_relative_information_score: 884.6545, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9399, prior_entropy: 0.3191, recall: 0.9399, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9912, scimark_benchmark: 1371.8625, usercpu_time_millis: 253.515, usercpu_time_millis_testing: 7.154, usercpu_time_millis_training: 246.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.9262, kappa: 0.2308, kb_relative_information_score: -2428.6959, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9372, prior_entropy: 0.3191, recall: 0.9372, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9481, scimark_benchmark: 1365.9357, usercpu_time_millis: 65.817, usercpu_time_millis_testing: 4.495, usercpu_time_millis_training: 61.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.914, kb_relative_information_score: -25.3795, 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: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1378.1425, usercpu_time_millis: 46.469, usercpu_time_millis_testing: 7.712, usercpu_time_millis_training: 38.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.9146, kappa: 0.036, kb_relative_information_score: -10757.2386, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9007, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.9643, scimark_benchmark: 1374.6576, usercpu_time_millis: 171.462, usercpu_time_millis_testing: 6.761, usercpu_time_millis_training: 164.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.9152, kappa: 0.0476, kb_relative_information_score: -11032.4382, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9026, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9419, scimark_benchmark: 1372.8039, usercpu_time_millis: 194.145, usercpu_time_millis_testing: 8.25, usercpu_time_millis_training: 185.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.9289, kappa: 0.2543, kb_relative_information_score: -743.0904, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9242, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.979, scimark_benchmark: 1376.5673, usercpu_time_millis: 59.637, usercpu_time_millis_testing: 2.573, usercpu_time_millis_training: 57.064,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.914, kb_relative_information_score: -11866.675, mean_absolute_error: 0.1054, 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: 0.9661, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9728, scimark_benchmark: 1372.7629, usercpu_time_millis: 148.63, usercpu_time_millis_testing: 13.432, usercpu_time_millis_training: 135.198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.9286, kappa: 0.2497, kb_relative_information_score: -790.1411, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9238, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9476, scimark_benchmark: 1228.1943, usercpu_time_millis: 68.825, usercpu_time_millis_testing: 3.695, usercpu_time_millis_training: 65.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.914, kb_relative_information_score: -9985.7672, mean_absolute_error: 0.0996, 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: 0.9128, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9394, scimark_benchmark: 1197.7431, usercpu_time_millis: 52.65, usercpu_time_millis_testing: 4.387, usercpu_time_millis_training: 48.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.914, kb_relative_information_score: -6872.5157, mean_absolute_error: 0.1027, 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: 0.9412, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9564, scimark_benchmark: 1187.3727, usercpu_time_millis: 45.355, usercpu_time_millis_testing: 4.14, usercpu_time_millis_training: 41.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -13416.9114, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9741, scimark_benchmark: 1227.4989, usercpu_time_millis: 12.393, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 11.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -15091.7453, mean_absolute_error: 0.1038, 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: 0.9515, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9554, scimark_benchmark: 1777.7571, usercpu_time_millis: 212.485, usercpu_time_millis_testing: 14.048, usercpu_time_millis_training: 198.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14443.9423, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9457, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.9484, scimark_benchmark: 1777.7571, usercpu_time_millis: 197.709, usercpu_time_millis_testing: 14.406, usercpu_time_millis_training: 183.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.921, kappa: 0.0968, kb_relative_information_score: -11267.7149, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9339, predictive_accuracy: 0.9443, prior_entropy: 0.3191, recall: 0.9443, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8832, scimark_benchmark: 1721.4034, usercpu_time_millis: 179.976, usercpu_time_millis_testing: 4.684, usercpu_time_millis_training: 175.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9295, kappa: 0.2612, kb_relative_information_score: -814.8384, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9803, scimark_benchmark: 1782.5338, usercpu_time_millis: 167.053, usercpu_time_millis_testing: 7.315, usercpu_time_millis_training: 159.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.914, kb_relative_information_score: -12330.5918, 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: 0.9792, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9841, scimark_benchmark: 1739.1955, usercpu_time_millis: 126.014, usercpu_time_millis_testing: 10.36, usercpu_time_millis_training: 115.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9149, kappa: 0.0391, kb_relative_information_score: -10096.9176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9016, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.216, root_relative_squared_error: 0.925, scimark_benchmark: 1718.6781, usercpu_time_millis: 80.915, usercpu_time_millis_testing: 6.431, usercpu_time_millis_training: 74.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.9295, kappa: 0.2669, kb_relative_information_score: -438.8954, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9397, prior_entropy: 0.3191, recall: 0.9397, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9855, scimark_benchmark: 1719.131, usercpu_time_millis: 14.694, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 14.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.916, kappa: 0.0393, kb_relative_information_score: -9694.5527, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9082, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.9057, scimark_benchmark: 1715.5791, usercpu_time_millis: 11.863, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 11.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.9146, kappa: 0.0093, kb_relative_information_score: -14649.4748, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9183, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.9442, scimark_benchmark: 1704.5701, usercpu_time_millis: 889.28, usercpu_time_millis_testing: 24.264, usercpu_time_millis_training: 865.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.914, kb_relative_information_score: -14407.5229, 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: 0.2302, root_relative_squared_error: 0.9858, scimark_benchmark: 1703.8973, usercpu_time_millis: 263.211, usercpu_time_millis_testing: 13.079, usercpu_time_millis_training: 250.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.915, kappa: 0.0439, kb_relative_information_score: -10957.99, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9021, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.9302, scimark_benchmark: 1711.3334, usercpu_time_millis: 179.513, usercpu_time_millis_testing: 9.415, usercpu_time_millis_training: 170.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9234, kappa: 0.197, kb_relative_information_score: -8282.3828, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9166, predictive_accuracy: 0.9354, prior_entropy: 0.3191, recall: 0.9354, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9514, scimark_benchmark: 1729.3337, usercpu_time_millis: 135.889, usercpu_time_millis_testing: 6.756, usercpu_time_millis_training: 129.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.914, kb_relative_information_score: -12771.9332, mean_absolute_error: 0.106, 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: 0.972, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9778, scimark_benchmark: 1763.8455, usercpu_time_millis: 123.823, usercpu_time_millis_testing: 12.243, usercpu_time_millis_training: 111.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.9297, kappa: 0.24, kb_relative_information_score: -2518.1803, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9278, predictive_accuracy: 0.9438, prior_entropy: 0.3191, recall: 0.9438, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8926, scimark_benchmark: 1862.4223, usercpu_time_millis: 85.641, usercpu_time_millis_testing: 5.941, usercpu_time_millis_training: 79.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -29.1642, 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: 0.9999, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1728.8693, usercpu_time_millis: 67.635, usercpu_time_millis_testing: 7.355, usercpu_time_millis_training: 60.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9236, kappa: 0.2048, kb_relative_information_score: -6989.8787, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9169, predictive_accuracy: 0.9348, prior_entropy: 0.3191, recall: 0.9348, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9599, scimark_benchmark: 1728.926, usercpu_time_millis: 67.091, usercpu_time_millis_testing: 6.135, usercpu_time_millis_training: 60.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.914, kb_relative_information_score: -8582.6254, mean_absolute_error: 0.1081, 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: 0.991, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.9931, scimark_benchmark: 1860.7926, usercpu_time_millis: 60.859, usercpu_time_millis_testing: 6.072, usercpu_time_millis_training: 54.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.9165, kappa: 0.0655, kb_relative_information_score: -11308.1029, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9059, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.9347, scimark_benchmark: 1704.2859, usercpu_time_millis: 53.791, usercpu_time_millis_testing: 3.772, usercpu_time_millis_training: 50.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.9179, kappa: 0.0821, kb_relative_information_score: -9607.0729, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9093, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.9136, scimark_benchmark: 1722.5417, usercpu_time_millis: 29.387, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 27.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -85.6181, 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: 1726.9824, usercpu_time_millis: 14.267, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 13.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13671.2033, mean_absolute_error: 0.1003, 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: 0.919, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9314, scimark_benchmark: 1730.6874, usercpu_time_millis: 318.517, usercpu_time_millis_testing: 18.186, usercpu_time_millis_training: 300.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.9308, kappa: 0.2772, kb_relative_information_score: -346.1609, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9265, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9785, scimark_benchmark: 1840.308, usercpu_time_millis: 306.636, usercpu_time_millis_testing: 13.972, usercpu_time_millis_training: 292.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.9231, kappa: 0.1404, kb_relative_information_score: -6671.5384, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9222, predictive_accuracy: 0.9425, prior_entropy: 0.3191, recall: 0.9425, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8971, scimark_benchmark: 1712.914, usercpu_time_millis: 172.823, usercpu_time_millis_testing: 14.238, usercpu_time_millis_training: 158.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.9299, kappa: 0.2665, kb_relative_information_score: -367.0017, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9254, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9778, scimark_benchmark: 1709.3563, usercpu_time_millis: 130.944, usercpu_time_millis_testing: 5.784, usercpu_time_millis_training: 125.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -9326.7158, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.921, scimark_benchmark: 1717.8303, usercpu_time_millis: 90.337, usercpu_time_millis_testing: 7.611, usercpu_time_millis_training: 82.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.914, kb_relative_information_score: -8527.8558, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9944, scimark_benchmark: 1111.722, usercpu_time_millis: 81.814, usercpu_time_millis_testing: 8.443, usercpu_time_millis_training: 73.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9272, kappa: 0.2374, kb_relative_information_score: -1528.7088, mean_absolute_error: 0.0725, 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: 0.6643, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.943, scimark_benchmark: 1720.4927, usercpu_time_millis: 64.039, usercpu_time_millis_testing: 3.423, usercpu_time_millis_training: 60.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -58.4225, 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, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1712.4712, usercpu_time_millis: 60.212, usercpu_time_millis_testing: 5.81, usercpu_time_millis_training: 54.402,

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