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: 0.8281, f_measure: 0.9228, kappa: 0.1721, kb_relative_information_score: -9245.263, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.916, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9487, scimark_benchmark: 1736.8978, usercpu_time_millis: 149.616, usercpu_time_millis_testing: 9.542, usercpu_time_millis_training: 140.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.9273, kappa: 0.1834, kb_relative_information_score: -9470.3484, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9464, prior_entropy: 0.3191, recall: 0.9464, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.8671, scimark_benchmark: 1732.9618, usercpu_time_millis: 123.689, usercpu_time_millis_testing: 7.203, usercpu_time_millis_training: 116.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.9269, kappa: 0.2524, kb_relative_information_score: -2264.5363, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9214, 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: 0.2357, root_relative_squared_error: 1.0091, scimark_benchmark: 1734.2259, usercpu_time_millis: 136.393, usercpu_time_millis_testing: 5.479, usercpu_time_millis_training: 130.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.9157, kappa: 0.0538, kb_relative_information_score: -11152.3258, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.904, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9315, scimark_benchmark: 1734.6706, usercpu_time_millis: 119.117, usercpu_time_millis_testing: 7.824, usercpu_time_millis_training: 111.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.914, kb_relative_information_score: -12021.4839, mean_absolute_error: 0.1074, 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: 0.9847, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9887, scimark_benchmark: 1827.864, usercpu_time_millis: 120.016, usercpu_time_millis_testing: 8.899, usercpu_time_millis_training: 111.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9158, kappa: 0.0535, kb_relative_information_score: -10153.8034, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9043, predictive_accuracy: 0.9379, prior_entropy: 0.3191, recall: 0.9379, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9244, scimark_benchmark: 1729.5644, usercpu_time_millis: 103.815, usercpu_time_millis_testing: 8.374, usercpu_time_millis_training: 95.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9143, kappa: 0.003, kb_relative_information_score: -12121.4207, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9455, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9415, scimark_benchmark: 1733.7613, usercpu_time_millis: 103.642, usercpu_time_millis_testing: 9.924, usercpu_time_millis_training: 93.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.9274, kappa: 0.2567, kb_relative_information_score: -1669.3392, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.922, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9771, scimark_benchmark: 1721.8007, usercpu_time_millis: 97.72, usercpu_time_millis_testing: 3.85, usercpu_time_millis_training: 93.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9285, kappa: 0.2501, kb_relative_information_score: -1178.0669, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9236, predictive_accuracy: 0.9398, prior_entropy: 0.3191, recall: 0.9398, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9793, scimark_benchmark: 2139.7428, usercpu_time_millis: 88.437, usercpu_time_millis_testing: 6.008, usercpu_time_millis_training: 82.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.9199, kappa: 0.0974, kb_relative_information_score: -7345.5148, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9167, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8983, scimark_benchmark: 1732.4384, usercpu_time_millis: 79.747, usercpu_time_millis_testing: 6.497, usercpu_time_millis_training: 73.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.9167, kappa: 0.0684, kb_relative_information_score: -10842.787, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9062, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9361, scimark_benchmark: 1736.9559, usercpu_time_millis: 77.444, usercpu_time_millis_testing: 5.383, usercpu_time_millis_training: 72.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.9295, kappa: 0.2603, kb_relative_information_score: -366.6321, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.925, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9534, scimark_benchmark: 1947.5557, usercpu_time_millis: 65.868, usercpu_time_millis_testing: 3.203, usercpu_time_millis_training: 62.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.9292, kappa: 0.2571, kb_relative_information_score: -515.5837, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9244, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.9647, scimark_benchmark: 1734.3333, usercpu_time_millis: 65.856, usercpu_time_millis_testing: 5.1, usercpu_time_millis_training: 60.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9302, kappa: 0.2641, kb_relative_information_score: 151.0142, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9333, scimark_benchmark: 1915.8703, usercpu_time_millis: 81.045, usercpu_time_millis_testing: 7.62, usercpu_time_millis_training: 73.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.914, kb_relative_information_score: -9809.0286, 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: 0.9905, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.232, root_relative_squared_error: 0.9932, scimark_benchmark: 1730.1287, usercpu_time_millis: 57.33, usercpu_time_millis_testing: 4.588, usercpu_time_millis_training: 52.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.9307, kappa: 0.258, kb_relative_information_score: -552.3797, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9282, predictive_accuracy: 0.9437, prior_entropy: 0.3191, recall: 0.9437, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8938, scimark_benchmark: 1727.2167, usercpu_time_millis: 50.117, usercpu_time_millis_testing: 2.886, usercpu_time_millis_training: 47.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -11582.4173, mean_absolute_error: 0.0973, 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: 0.8917, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.9169, scimark_benchmark: 1723.0946, usercpu_time_millis: 44.88, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 42.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.9167, kappa: 0.036, kb_relative_information_score: -9888.7159, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9435, predictive_accuracy: 0.9432, prior_entropy: 0.3191, recall: 0.9432, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.9023, scimark_benchmark: 2140.4437, usercpu_time_millis: 43.533, usercpu_time_millis_testing: 3.421, usercpu_time_millis_training: 40.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.931, kappa: 0.2768, kb_relative_information_score: 513.8893, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9269, predictive_accuracy: 0.9417, prior_entropy: 0.3191, recall: 0.9417, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9376, scimark_benchmark: 1736.1564, usercpu_time_millis: 54.475, usercpu_time_millis_testing: 3.837, usercpu_time_millis_training: 50.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.914, kb_relative_information_score: -12084.43, mean_absolute_error: 0.1075, 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: 0.9855, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9892, scimark_benchmark: 1728.0111, usercpu_time_millis: 35.365, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 32.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9146, kappa: 0.0356, kb_relative_information_score: -11979.9219, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9009, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9582, scimark_benchmark: 1715.1818, usercpu_time_millis: 22.615, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 22.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9147, kappa: 0.0365, kb_relative_information_score: -11263.3577, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9011, predictive_accuracy: 0.9378, prior_entropy: 0.3191, recall: 0.9378, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.939, scimark_benchmark: 1729.6747, usercpu_time_millis: 18.172, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 17.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.914, kb_relative_information_score: -197.2917, 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: 1730.1287, usercpu_time_millis: 12.222, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 11.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -14.4346, 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: 1918.1379, usercpu_time_millis: 13.386, usercpu_time_millis_testing: 2.045, usercpu_time_millis_training: 11.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.9224, kappa: 0.1506, kb_relative_information_score: -18835.2691, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9165, predictive_accuracy: 0.9394, prior_entropy: 0.3191, recall: 0.9394, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9476, scimark_benchmark: 1732.5611, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.9302, kappa: 0.2744, kb_relative_information_score: -27.1902, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9255, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9822, scimark_benchmark: 1851.3287, usercpu_time_millis: 148.01, usercpu_time_millis_testing: 5.642, usercpu_time_millis_training: 142.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.914, kb_relative_information_score: -11999.1009, 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: 0.9859, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9888, scimark_benchmark: 1891.728, usercpu_time_millis: 99.365, usercpu_time_millis_testing: 9.538, usercpu_time_millis_training: 89.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.914, kb_relative_information_score: -11355.5958, mean_absolute_error: 0.0941, 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: 0.8623, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.9195, scimark_benchmark: 1745.2133, usercpu_time_millis: 92.612, usercpu_time_millis_testing: 7.891, usercpu_time_millis_training: 84.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9153, kappa: 0.0474, kb_relative_information_score: -10996.0556, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9029, predictive_accuracy: 0.9377, prior_entropy: 0.3191, recall: 0.9377, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.9237, scimark_benchmark: 1853.3841, usercpu_time_millis: 90.046, usercpu_time_millis_testing: 7.382, usercpu_time_millis_training: 82.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.9233, kappa: 0.1706, kb_relative_information_score: -9179.8929, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9171, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.938, scimark_benchmark: 1853.9849, usercpu_time_millis: 76.085, usercpu_time_millis_testing: 4.951, usercpu_time_millis_training: 71.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.914, kb_relative_information_score: -11445.3828, 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: 0.9783, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.9817, scimark_benchmark: 1893.2391, usercpu_time_millis: 69.076, usercpu_time_millis_testing: 6.557, usercpu_time_millis_training: 62.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.914, kb_relative_information_score: -12879.9934, mean_absolute_error: 0.1059, 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: 0.9704, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9768, scimark_benchmark: 1847.7335, usercpu_time_millis: 69.272, usercpu_time_millis_testing: 6.064, usercpu_time_millis_training: 63.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9146, kappa: 0.0137, kb_relative_information_score: -8985.1761, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9036, predictive_accuracy: 0.9412, prior_entropy: 0.3191, recall: 0.9412, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9203, scimark_benchmark: 1884.7576, usercpu_time_millis: 42.79, usercpu_time_millis_testing: 3.548, usercpu_time_millis_training: 39.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -14.2106, 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: 1739.1994, usercpu_time_millis: 27.522, usercpu_time_millis_testing: 4.61, usercpu_time_millis_training: 22.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.9284, kappa: 0.2003, kb_relative_information_score: -10197.8816, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9353, predictive_accuracy: 0.9465, prior_entropy: 0.3191, recall: 0.9465, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.8656, scimark_benchmark: 1891.5482, usercpu_time_millis: 21.907, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 20.753,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.9156, kappa: 0.0532, kb_relative_information_score: -11336.5352, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9036, predictive_accuracy: 0.9375, prior_entropy: 0.3191, recall: 0.9375, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.9362, scimark_benchmark: 1815.7533, usercpu_time_millis: 36.131, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 34.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -27.0857, 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: 1723.567, usercpu_time_millis: 31.218, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 25.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -17.158, 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: 1693.1688, usercpu_time_millis: 60.783, usercpu_time_millis_testing: 4.111, usercpu_time_millis_training: 56.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9177, kappa: 0.0494, kb_relative_information_score: -11926.2892, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.936, predictive_accuracy: 0.9433, prior_entropy: 0.3191, recall: 0.9433, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.9016, scimark_benchmark: 1750.7819, usercpu_time_millis: 311.926, usercpu_time_millis_testing: 10.292, usercpu_time_millis_training: 301.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.9145, kappa: 0.0059, kb_relative_information_score: -15032.1219, mean_absolute_error: 0.1047, 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: 0.9594, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9639, scimark_benchmark: 1733.6961, usercpu_time_millis: 313.312, usercpu_time_millis_testing: 16.627, usercpu_time_millis_training: 296.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14153.435, 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: 0.9352, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.9477, scimark_benchmark: 1747.9456, usercpu_time_millis: 307.054, usercpu_time_millis_testing: 16.301, usercpu_time_millis_training: 290.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.945, kappa: 0.4413, kb_relative_information_score: -4563.8938, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9433, predictive_accuracy: 0.9514, prior_entropy: 0.3191, recall: 0.9514, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.85, scimark_benchmark: 1730.1821, usercpu_time_millis: 190.285, usercpu_time_millis_testing: 4.142, usercpu_time_millis_training: 186.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.9253, kappa: 0.2204, kb_relative_information_score: -4674.0983, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9191, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9503, scimark_benchmark: 1726.7615, usercpu_time_millis: 167.06, usercpu_time_millis_testing: 9.173, usercpu_time_millis_training: 157.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.9304, kappa: 0.2744, kb_relative_information_score: 162.0094, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9259, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9718, scimark_benchmark: 1737.2356, usercpu_time_millis: 128.064, usercpu_time_millis_testing: 6.234, usercpu_time_millis_training: 121.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.914, kb_relative_information_score: -12262.3149, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9868, scimark_benchmark: 1732.0396, usercpu_time_millis: 133.843, usercpu_time_millis_testing: 12.929, usercpu_time_millis_training: 120.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.9274, kappa: 0.256, kb_relative_information_score: -1864.858, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9848, scimark_benchmark: 2068.498, usercpu_time_millis: 90.09, usercpu_time_millis_testing: 4.183, usercpu_time_millis_training: 85.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.914, kb_relative_information_score: -5260.7331, 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: 0.9956, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9965, scimark_benchmark: 1727.2167, usercpu_time_millis: 38.783, usercpu_time_millis_testing: 3.886, usercpu_time_millis_training: 34.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9217, kappa: 0.1542, kb_relative_information_score: -9523.587, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9144, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9552, scimark_benchmark: 1725.9114, usercpu_time_millis: 17.279, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 16.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -404.6082, 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: 0.9989, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1743.9179, usercpu_time_millis: 2.161, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -15224.3886, mean_absolute_error: 0.1058, 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: 0.9698, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.979, scimark_benchmark: 1716.5369, usercpu_time_millis: 302.57, usercpu_time_millis_testing: 14.245, usercpu_time_millis_training: 288.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9296, kappa: 0.2604, kb_relative_information_score: -341.9991, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9531, scimark_benchmark: 1723.9607, usercpu_time_millis: 156.127, usercpu_time_millis_testing: 10.459, usercpu_time_millis_training: 145.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.9146, kappa: 0.0079, kb_relative_information_score: -14369.2279, mean_absolute_error: 0.105, 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: 0.9622, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9715, scimark_benchmark: 1723.5031, usercpu_time_millis: 147.923, usercpu_time_millis_testing: 9.088, usercpu_time_millis_training: 138.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.9274, kappa: 0.2503, kb_relative_information_score: -1349.0927, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9373, prior_entropy: 0.3191, recall: 0.9373, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9732, scimark_benchmark: 1731.2453, usercpu_time_millis: 119.293, usercpu_time_millis_testing: 5.644, usercpu_time_millis_training: 113.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.914, kb_relative_information_score: -12493.3655, mean_absolute_error: 0.1023, 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: 0.9376, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.9449, scimark_benchmark: 1728.0111, usercpu_time_millis: 100.796, usercpu_time_millis_testing: 11.438, usercpu_time_millis_training: 89.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.914, kb_relative_information_score: -10401.0453, mean_absolute_error: 0.0969, 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: 0.8881, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9279, scimark_benchmark: 1736.1564, usercpu_time_millis: 78.4, usercpu_time_millis_testing: 8.741, usercpu_time_millis_training: 69.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.9304, kappa: 0.2525, kb_relative_information_score: -1302.8662, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.928, predictive_accuracy: 0.9437, prior_entropy: 0.3191, recall: 0.9437, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8926, scimark_benchmark: 1721.8563, usercpu_time_millis: 50.42, usercpu_time_millis_testing: 2.874, usercpu_time_millis_training: 47.546,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.9317, kappa: 0.271, kb_relative_information_score: 38.3363, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9293, predictive_accuracy: 0.9442, prior_entropy: 0.3191, recall: 0.9442, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8932, scimark_benchmark: 1728.0111, usercpu_time_millis: 48.739, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 45.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.914, kb_relative_information_score: -14216.2987, mean_absolute_error: 0.107, 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: 0.9803, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9868, scimark_benchmark: 1724.8648, usercpu_time_millis: 239.194, usercpu_time_millis_testing: 11.374, usercpu_time_millis_training: 227.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.9307, kappa: 0.2775, kb_relative_information_score: -184.2847, mean_absolute_error: 0.0684, 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: 0.627, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9789, scimark_benchmark: 1733.4264, usercpu_time_millis: 230.762, usercpu_time_millis_testing: 9.419, usercpu_time_millis_training: 221.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.9294, kappa: 0.2619, kb_relative_information_score: -839.0158, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9246, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.982, scimark_benchmark: 1734.6706, usercpu_time_millis: 138.928, usercpu_time_millis_testing: 5.702, usercpu_time_millis_training: 133.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.914, kb_relative_information_score: -13512.8504, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9858, scimark_benchmark: 1704.6176, usercpu_time_millis: 125.044, usercpu_time_millis_testing: 5.165, usercpu_time_millis_training: 119.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.9294, kappa: 0.2581, kb_relative_information_score: -567.0413, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9728, scimark_benchmark: 1736.1564, usercpu_time_millis: 110.384, usercpu_time_millis_testing: 7.011, usercpu_time_millis_training: 103.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.9261, kappa: 0.2354, kb_relative_information_score: -2224.0549, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9202, predictive_accuracy: 0.9364, prior_entropy: 0.3191, recall: 0.9364, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.9736, scimark_benchmark: 1736.9559, usercpu_time_millis: 112.107, usercpu_time_millis_testing: 7.94, usercpu_time_millis_training: 104.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9281, kappa: 0.2374, kb_relative_information_score: -2424.1298, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9234, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.9203, scimark_benchmark: 1731.6389, usercpu_time_millis: 98.131, usercpu_time_millis_testing: 6.911, usercpu_time_millis_training: 91.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.914, kb_relative_information_score: -8321.0874, 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: 0.9928, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9948, scimark_benchmark: 1723.5031, usercpu_time_millis: 72.824, usercpu_time_millis_testing: 6.938, usercpu_time_millis_training: 65.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.9286, kappa: 0.2543, kb_relative_information_score: -921.318, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9235, predictive_accuracy: 0.9394, prior_entropy: 0.3191, recall: 0.9394, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.978, scimark_benchmark: 1730.5343, usercpu_time_millis: 12.637, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 12.147,

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