OpenML
Supervised Classification on Amazon_employee_access

Supervised Classification on Amazon_employee_access

Task 34539 Supervised Classification Amazon_employee_access 22125 runs submitted
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  • OpenML100 study_123 study_14 study_218
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.9267, kappa: 0.2463, kb_relative_information_score: -1579.8968, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.921, predictive_accuracy: 0.9363, prior_entropy: 0.3191, recall: 0.9363, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9908, scimark_benchmark: 1826.3736, usercpu_time_millis: 61.723, usercpu_time_millis_testing: 2.332, usercpu_time_millis_training: 59.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.914, kb_relative_information_score: -12318.0202, mean_absolute_error: 0.1035, 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: 0.9488, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9574, scimark_benchmark: 1827.287, usercpu_time_millis: 32.76, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 29.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.931, kappa: 0.2814, kb_relative_information_score: 403.3734, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9267, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9623, scimark_benchmark: 1835.2386, usercpu_time_millis: 30.948, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 29.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.9307, kappa: 0.2821, kb_relative_information_score: 384.9237, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9261, predictive_accuracy: 0.9404, prior_entropy: 0.3191, recall: 0.9404, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9864, scimark_benchmark: 1824.8772, usercpu_time_millis: 22.88, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 22.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.914, kappa: -0.0001, kb_relative_information_score: -11971.8176, mean_absolute_error: 0.0933, 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: 0.8556, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.9169, scimark_benchmark: 1843.1989, usercpu_time_millis: 18.228, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 16.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.9303, kappa: 0.2773, kb_relative_information_score: 335.6066, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9402, prior_entropy: 0.3191, recall: 0.9402, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.231, root_relative_squared_error: 0.989, scimark_benchmark: 1851.8567, usercpu_time_millis: 261.541, usercpu_time_millis_testing: 9.769, usercpu_time_millis_training: 251.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -14458.3138, mean_absolute_error: 0.103, 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: 0.9441, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.952, scimark_benchmark: 1851.3287, usercpu_time_millis: 170.279, usercpu_time_millis_testing: 12.039, usercpu_time_millis_training: 158.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.9259, kappa: 0.2362, kb_relative_information_score: -2638.0865, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.92, predictive_accuracy: 0.9359, prior_entropy: 0.3191, recall: 0.9359, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9886, scimark_benchmark: 1850.8185, usercpu_time_millis: 155.144, usercpu_time_millis_testing: 7.443, usercpu_time_millis_training: 147.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.9147, kappa: 0.0089, kb_relative_information_score: -13895.6702, 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: 0.9237, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9432, scimark_benchmark: 1846.6923, usercpu_time_millis: 149.554, usercpu_time_millis_testing: 6.17, usercpu_time_millis_training: 143.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9239, kappa: 0.1927, kb_relative_information_score: -8602.1606, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9174, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9414, scimark_benchmark: 1850.2875, usercpu_time_millis: 135.852, usercpu_time_millis_testing: 7.703, usercpu_time_millis_training: 128.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.9237, kappa: 0.2096, kb_relative_information_score: -4446.3571, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9171, predictive_accuracy: 0.9344, prior_entropy: 0.3191, recall: 0.9344, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2377, root_relative_squared_error: 1.0178, scimark_benchmark: 1851.3524, usercpu_time_millis: 126.479, usercpu_time_millis_testing: 5.058, usercpu_time_millis_training: 121.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.914, kb_relative_information_score: -13642.6581, 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: 0.9777, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9833, scimark_benchmark: 1849.3742, usercpu_time_millis: 122.977, usercpu_time_millis_testing: 8.537, usercpu_time_millis_training: 114.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.9307, kappa: 0.2716, kb_relative_information_score: 344.1764, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9266, predictive_accuracy: 0.9418, prior_entropy: 0.3191, recall: 0.9418, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9358, scimark_benchmark: 1839.3858, usercpu_time_millis: 108.885, usercpu_time_millis_testing: 7.345, usercpu_time_millis_training: 101.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9247, kappa: 0.2054, kb_relative_information_score: -7969.2958, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9183, predictive_accuracy: 0.9371, prior_entropy: 0.3191, recall: 0.9371, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9446, scimark_benchmark: 1853.9121, usercpu_time_millis: 101.834, usercpu_time_millis_testing: 6.858, usercpu_time_millis_training: 94.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9294, kappa: 0.2592, kb_relative_information_score: -496.0227, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9733, scimark_benchmark: 1847.7122, usercpu_time_millis: 78.044, usercpu_time_millis_testing: 4.59, usercpu_time_millis_training: 73.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: 0.6549, 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: 1849.9051, usercpu_time_millis: 45.957, usercpu_time_millis_testing: 6.948, usercpu_time_millis_training: 39.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.914, kb_relative_information_score: -32.4142, 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: 1838.7269, usercpu_time_millis: 39.069, usercpu_time_millis_testing: 6.339, usercpu_time_millis_training: 32.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.9225, kappa: 0.1578, kb_relative_information_score: -9361.8195, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9162, predictive_accuracy: 0.9387, prior_entropy: 0.3191, recall: 0.9387, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9435, scimark_benchmark: 1853.9121, usercpu_time_millis: 35.306, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 34.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.914, kb_relative_information_score: -13540.7244, 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: 0.9855, scimark_benchmark: 1854.4431, usercpu_time_millis: 29.546, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 28.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.914, kb_relative_information_score: -10639.4686, mean_absolute_error: 0.0977, 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: 0.8957, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.9313, scimark_benchmark: 1851.9295, usercpu_time_millis: 29.002, usercpu_time_millis_testing: 2.619, usercpu_time_millis_training: 26.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9148, kappa: 0.0098, kb_relative_information_score: -13538.788, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9405, predictive_accuracy: 0.9424, prior_entropy: 0.3191, recall: 0.9424, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.9326, scimark_benchmark: 1853.5297, usercpu_time_millis: 28.766, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 28.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.9299, kappa: 0.2656, kb_relative_information_score: -8.3636, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9584, scimark_benchmark: 1849.3742, usercpu_time_millis: 27.482, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 26.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.9202, kappa: 0.0854, kb_relative_information_score: -10855.4682, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9331, predictive_accuracy: 0.944, prior_entropy: 0.3191, recall: 0.944, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8895, scimark_benchmark: 1848.5664, usercpu_time_millis: 23.214, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 22.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.9296, kappa: 0.2612, kb_relative_information_score: -235.0144, mean_absolute_error: 0.0696, 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: 0.6383, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.9542, scimark_benchmark: 1846.6923, usercpu_time_millis: 26.238, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 25.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.9295, kappa: 0.2609, kb_relative_information_score: -401.77, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9672, scimark_benchmark: 1852.3877, usercpu_time_millis: 22.225, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 21.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.914, kb_relative_information_score: -10.7878, 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: 1851.8968, usercpu_time_millis: 18.056, usercpu_time_millis_testing: 3.054, usercpu_time_millis_training: 15.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.9146, kappa: 0.0069, kb_relative_information_score: -14073.873, mean_absolute_error: 0.104, 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: 0.9529, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9634, scimark_benchmark: 1850.2875, usercpu_time_millis: 19.245, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 18.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.914, kb_relative_information_score: -146.2459, 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: 0.9996, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 1, scimark_benchmark: 1855.0989, usercpu_time_millis: 7.516, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 7.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.914, kb_relative_information_score: -13899.3853, 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: 0.9811, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9877, scimark_benchmark: 1856.0123, usercpu_time_millis: 5.457, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 5.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.9311, kappa: 0.2813, kb_relative_information_score: -218.5254, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9413, prior_entropy: 0.3191, recall: 0.9413, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9789, scimark_benchmark: 1854.6189, usercpu_time_millis: 240.881, usercpu_time_millis_testing: 9.081, usercpu_time_millis_training: 231.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.9303, kappa: 0.2786, kb_relative_information_score: 590.7326, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.9857, scimark_benchmark: 1835.621, usercpu_time_millis: 144.736, usercpu_time_millis_testing: 6.116, usercpu_time_millis_training: 138.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -13877.6782, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.9712, scimark_benchmark: 1845.1793, usercpu_time_millis: 140.512, usercpu_time_millis_testing: 10.321, usercpu_time_millis_training: 130.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.9307, kappa: 0.2775, kb_relative_information_score: -190.304, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9796, scimark_benchmark: 1858.944, usercpu_time_millis: 144.85, usercpu_time_millis_testing: 5.844, usercpu_time_millis_training: 139.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.9295, kappa: 0.2604, kb_relative_information_score: -523.9778, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9249, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.9517, scimark_benchmark: 1847.289, usercpu_time_millis: 119.253, usercpu_time_millis_testing: 5.497, usercpu_time_millis_training: 113.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.9265, kappa: 0.2409, kb_relative_information_score: -1577.6843, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9208, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9876, scimark_benchmark: 1846.6923, usercpu_time_millis: 93.194, usercpu_time_millis_testing: 5.676, usercpu_time_millis_training: 87.518,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.914, kb_relative_information_score: -76.3927, 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: 897.6181, usercpu_time_millis: 25.256, usercpu_time_millis_testing: 1.566, usercpu_time_millis_training: 23.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9185, kappa: 0.0622, kb_relative_information_score: -12254.4561, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9306, predictive_accuracy: 0.9433, prior_entropy: 0.3191, recall: 0.9433, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.912, scimark_benchmark: 1087.494, usercpu_time_millis: 1469.8, usercpu_time_millis_testing: 34.18, usercpu_time_millis_training: 1435.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.93, kappa: 0.2689, kb_relative_information_score: 42.2098, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9253, predictive_accuracy: 0.9405, prior_entropy: 0.3191, recall: 0.9405, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9851, scimark_benchmark: 1074.5043, usercpu_time_millis: 129.223, usercpu_time_millis_testing: 2.559, usercpu_time_millis_training: 126.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.914, kb_relative_information_score: -13.1686, 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: 1114.0291, usercpu_time_millis: 29.735, usercpu_time_millis_testing: 2.832, usercpu_time_millis_training: 26.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.9302, kappa: 0.2756, kb_relative_information_score: -24.4256, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9256, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9826, scimark_benchmark: 1108.5063, usercpu_time_millis: 490.903, usercpu_time_millis_testing: 13.488, usercpu_time_millis_training: 477.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.9454, kappa: 0.4578, kb_relative_information_score: -3221.5523, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9432, predictive_accuracy: 0.9502, prior_entropy: 0.3191, recall: 0.9502, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.858, scimark_benchmark: 1208.5491, usercpu_time_millis: 194.646, usercpu_time_millis_testing: 4.491, usercpu_time_millis_training: 190.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.914, kb_relative_information_score: -13547.0429, 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: 0.9779, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9835, scimark_benchmark: 1143.3455, usercpu_time_millis: 225.551, usercpu_time_millis_testing: 11.105, usercpu_time_millis_training: 214.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9427, kappa: 0.4417, kb_relative_information_score: -3251.6934, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9402, predictive_accuracy: 0.9463, prior_entropy: 0.3191, recall: 0.9463, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8904, scimark_benchmark: 1052.894, usercpu_time_millis: 114.621, usercpu_time_millis_testing: 1.917, usercpu_time_millis_training: 112.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.914, kb_relative_information_score: -6188.5774, 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: 0.994, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9953, scimark_benchmark: 1153.3777, usercpu_time_millis: 72.535, usercpu_time_millis_testing: 7.514, usercpu_time_millis_training: 65.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.914, kb_relative_information_score: -14246.6948, 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: 0.9715, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.9792, scimark_benchmark: 1207.0857, usercpu_time_millis: 180.38, usercpu_time_millis_testing: 5.877, usercpu_time_millis_training: 174.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9286, kappa: 0.2467, kb_relative_information_score: -809.0762, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9238, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9461, scimark_benchmark: 1194.8441, usercpu_time_millis: 129.665, usercpu_time_millis_testing: 7.26, usercpu_time_millis_training: 122.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.9298, kappa: 0.2691, kb_relative_information_score: 32.8756, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9251, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9621, scimark_benchmark: 894.5545, usercpu_time_millis: 24.49, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 23.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.914, kb_relative_information_score: -12779.7583, 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: 0.9851, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9894, scimark_benchmark: 868.549, usercpu_time_millis: 236.635, usercpu_time_millis_testing: 9.008, usercpu_time_millis_training: 227.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.914, kb_relative_information_score: -8325.9658, 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: 0.9927, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9947, scimark_benchmark: 1181.7301, usercpu_time_millis: 138.711, usercpu_time_millis_testing: 12.197, usercpu_time_millis_training: 126.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.9303, kappa: 0.2764, kb_relative_information_score: 248.7943, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9257, predictive_accuracy: 0.9403, prior_entropy: 0.3191, recall: 0.9403, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9809, scimark_benchmark: 1195.0314, usercpu_time_millis: 37.06, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 36.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.9145, kappa: 0.0365, kb_relative_information_score: -11656.4037, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9006, predictive_accuracy: 0.9374, prior_entropy: 0.3191, recall: 0.9374, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9595, scimark_benchmark: 1202.534, usercpu_time_millis: 196.549, usercpu_time_millis_testing: 5.52, usercpu_time_millis_training: 191.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.9184, kappa: 0.0597, kb_relative_information_score: -9815.803, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9372, predictive_accuracy: 0.9436, prior_entropy: 0.3191, recall: 0.9436, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8875, scimark_benchmark: 1202.5349, usercpu_time_millis: 787.403, usercpu_time_millis_testing: 33.327, usercpu_time_millis_training: 754.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.9271, kappa: 0.2178, kb_relative_information_score: -5011.8463, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9226, predictive_accuracy: 0.9408, prior_entropy: 0.3191, recall: 0.9408, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.213, root_relative_squared_error: 0.9122, scimark_benchmark: 1075.2049, usercpu_time_millis: 375.339, usercpu_time_millis_testing: 26.023, usercpu_time_millis_training: 349.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.9284, kappa: 0.2736, kb_relative_information_score: 2145.7501, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9233, predictive_accuracy: 0.9365, prior_entropy: 0.3191, recall: 0.9365, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2393, root_relative_squared_error: 1.0245, scimark_benchmark: 1200.339, usercpu_time_millis: 440.321, usercpu_time_millis_testing: 8.937, usercpu_time_millis_training: 431.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.9143, kappa: 0.004, kb_relative_information_score: -14763.5596, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9456, predictive_accuracy: 0.9422, prior_entropy: 0.3191, recall: 0.9422, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9719, scimark_benchmark: 894.7039, usercpu_time_millis: 1135.076, usercpu_time_millis_testing: 26.687, usercpu_time_millis_training: 1108.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.9287, kappa: 0.2262, kb_relative_information_score: -3296.7827, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9268, predictive_accuracy: 0.9435, prior_entropy: 0.3191, recall: 0.9435, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.893, scimark_benchmark: 1003.3663, usercpu_time_millis: 435.811, usercpu_time_millis_testing: 24.334, usercpu_time_millis_training: 411.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.9143, kappa: 0.0131, kb_relative_information_score: -10206.7259, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8999, predictive_accuracy: 0.9406, prior_entropy: 0.3191, recall: 0.9406, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.9073, scimark_benchmark: 1142.5881, usercpu_time_millis: 143.85, usercpu_time_millis_testing: 7.749, usercpu_time_millis_training: 136.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.9141, kappa: 0.001, kb_relative_information_score: -14205.3889, mean_absolute_error: 0.106, 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: 0.9713, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.977, scimark_benchmark: 865.0546, usercpu_time_millis: 308.322, usercpu_time_millis_testing: 17.635, usercpu_time_millis_training: 290.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.9307, kappa: 0.2775, kb_relative_information_score: -201.4852, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9262, predictive_accuracy: 0.9409, prior_entropy: 0.3191, recall: 0.9409, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9805, scimark_benchmark: 1176.2908, usercpu_time_millis: 50.599, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 49.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.9447, kappa: 0.4378, kb_relative_information_score: -5785.5567, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.943, predictive_accuracy: 0.9511, prior_entropy: 0.3191, recall: 0.9511, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.8534, scimark_benchmark: 1212.5851, usercpu_time_millis: 1429.281, usercpu_time_millis_testing: 22.83, usercpu_time_millis_training: 1406.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.9243, kappa: 0.2096, kb_relative_information_score: -6126.8662, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9178, predictive_accuracy: 0.9357, prior_entropy: 0.3191, recall: 0.9357, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.9604, scimark_benchmark: 1116.076, usercpu_time_millis: 20.543, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 20.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.9284, kappa: 0.1992, kb_relative_information_score: -9403.7187, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9356, predictive_accuracy: 0.9465, prior_entropy: 0.3191, recall: 0.9465, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.8645, scimark_benchmark: 1139.1544, usercpu_time_millis: 332.223, usercpu_time_millis_testing: 15.273, usercpu_time_millis_training: 316.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9157, kappa: 0.0535, kb_relative_information_score: -10985.5663, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9038, predictive_accuracy: 0.9376, prior_entropy: 0.3191, recall: 0.9376, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.9307, scimark_benchmark: 1127.4209, usercpu_time_millis: 116.525, usercpu_time_millis_testing: 7.164, usercpu_time_millis_training: 109.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.914, kb_relative_information_score: -11546.8384, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.9189, scimark_benchmark: 1139.6784, usercpu_time_millis: 132.295, usercpu_time_millis_testing: 8.705, usercpu_time_millis_training: 123.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.9262, kappa: 0.2348, kb_relative_information_score: -2659.639, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9203, predictive_accuracy: 0.9366, prior_entropy: 0.3191, recall: 0.9366, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9514, scimark_benchmark: 1172.4975, usercpu_time_millis: 408.274, usercpu_time_millis_testing: 15.619, usercpu_time_millis_training: 392.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.914, kb_relative_information_score: -4528.2255, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.8876, predictive_accuracy: 0.9421, prior_entropy: 0.3191, recall: 0.9421, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9972, scimark_benchmark: 975.1423, usercpu_time_millis: 71.347, usercpu_time_millis_testing: 11.18, usercpu_time_millis_training: 60.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.9304, kappa: 0.2742, kb_relative_information_score: -137.6907, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9258, predictive_accuracy: 0.9407, prior_entropy: 0.3191, recall: 0.9407, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9796, scimark_benchmark: 890.989, usercpu_time_millis: 251.618, usercpu_time_millis_testing: 6.367, usercpu_time_millis_training: 245.251,

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