OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9337, kappa: 0.8358, kb_relative_information_score: 25803.4475, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.486, scimark_benchmark: 1781.9051, usercpu_time_millis: 4043.247, usercpu_time_millis_testing: 12.9, usercpu_time_millis_training: 4030.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8599, kappa: 0.6595, kb_relative_information_score: 16169.7669, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8614, predictive_accuracy: 0.8589, prior_entropy: 0.863, recall: 0.8589, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7161, scimark_benchmark: 2151.9028, usercpu_time_millis: 421.848, usercpu_time_millis_testing: 6.575, usercpu_time_millis_training: 415.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9251, kappa: 0.8126, kb_relative_information_score: 24626.5515, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5034, scimark_benchmark: 1727.1069, usercpu_time_millis: 1069.179, usercpu_time_millis_testing: 10.293, usercpu_time_millis_training: 1058.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9338, kappa: 0.8358, kb_relative_information_score: 25351.6431, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, scimark_benchmark: 1722.7088, usercpu_time_millis: 1080.289, usercpu_time_millis_testing: 4.125, usercpu_time_millis_training: 1076.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9634, kappa: 0.91, kb_relative_information_score: 28913.0215, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718, scimark_benchmark: 1724.0704, usercpu_time_millis: 1084.434, usercpu_time_millis_testing: 13.779, usercpu_time_millis_training: 1070.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9522, kappa: 0.8828, kb_relative_information_score: 27942.5796, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.421, scimark_benchmark: 1729.7915, usercpu_time_millis: 6021.739, usercpu_time_millis_testing: 14.278, usercpu_time_millis_training: 6007.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8554, kappa: 0.6496, kb_relative_information_score: 15497.7442, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8539, prior_entropy: 0.863, recall: 0.8539, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7474, scimark_benchmark: 1733.2629, usercpu_time_millis: 432.245, usercpu_time_millis_testing: 6.797, usercpu_time_millis_training: 425.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9376, kappa: 0.8457, kb_relative_information_score: 25893.1277, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4728, scimark_benchmark: 2152.6173, usercpu_time_millis: 533.121, usercpu_time_millis_testing: 11.023, usercpu_time_millis_training: 522.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 28149.7876, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.4041, scimark_benchmark: 1724.8648, usercpu_time_millis: 2566.709, usercpu_time_millis_testing: 19.429, usercpu_time_millis_training: 2547.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.922, kappa: 0.8038, kb_relative_information_score: 18525.9327, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9247, prior_entropy: 0.863, recall: 0.9247, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5977, scimark_benchmark: 1725.723, usercpu_time_millis: 53.453, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 50.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9529, kappa: 0.8843, kb_relative_information_score: 27516.9325, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425, scimark_benchmark: 1716.429, usercpu_time_millis: 139.804, usercpu_time_millis_testing: 1.959, usercpu_time_millis_training: 137.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9491, kappa: 0.8739, kb_relative_information_score: 24680.1709, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.466, scimark_benchmark: 1753.5536, usercpu_time_millis: 105.862, usercpu_time_millis_testing: 3.727, usercpu_time_millis_training: 102.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9659, kappa: 0.9161, kb_relative_information_score: 28907.9456, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1715.1285, usercpu_time_millis: 158.481, usercpu_time_millis_testing: 5.738, usercpu_time_millis_training: 152.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9494, kappa: 0.875, kb_relative_information_score: 26088.2128, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4446, scimark_benchmark: 1731.0556, usercpu_time_millis: 168.709, usercpu_time_millis_testing: 4.127, usercpu_time_millis_training: 164.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9315, kappa: 0.8294, kb_relative_information_score: 20781.1619, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5543, scimark_benchmark: 1734.35, usercpu_time_millis: 188.092, usercpu_time_millis_testing: 7.173, usercpu_time_millis_training: 180.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8952, kappa: 0.7344, kb_relative_information_score: 15903.707, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9058, predictive_accuracy: 0.9007, prior_entropy: 0.863, recall: 0.9007, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6576, scimark_benchmark: 1076.2083, usercpu_time_millis: 197.16, usercpu_time_millis_testing: 17.898, usercpu_time_millis_training: 179.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.914, kappa: 0.7839, kb_relative_information_score: 23952.3346, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9183, predictive_accuracy: 0.9168, prior_entropy: 0.863, recall: 0.9168, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5313, scimark_benchmark: 1738.9133, usercpu_time_millis: 216.628, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 215.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9594, kappa: 0.9001, kb_relative_information_score: 27884.5932, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3995, scimark_benchmark: 1723.9607, usercpu_time_millis: 188.696, usercpu_time_millis_testing: 3.715, usercpu_time_millis_training: 184.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9516, kappa: 0.8803, kb_relative_information_score: 25642.4464, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4466, scimark_benchmark: 1735.1328, usercpu_time_millis: 236.801, usercpu_time_millis_testing: 10.451, usercpu_time_millis_training: 226.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9423, kappa: 0.8566, kb_relative_information_score: 22088.1014, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5217, scimark_benchmark: 1706.4201, usercpu_time_millis: 202.3, usercpu_time_millis_testing: 12.264, usercpu_time_millis_training: 190.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.4693, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1723.5031, usercpu_time_millis: 97.576, usercpu_time_millis_testing: 7.935, usercpu_time_millis_training: 89.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29723.8109, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3572, scimark_benchmark: 1730.3001, usercpu_time_millis: 2761.131, usercpu_time_millis_testing: 5.695, usercpu_time_millis_training: 2755.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9514, kappa: 0.8804, kb_relative_information_score: 26778.6787, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4354, scimark_benchmark: 1722.7088, usercpu_time_millis: 638.392, usercpu_time_millis_testing: 18.251, usercpu_time_millis_training: 620.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9418, kappa: 0.8564, kb_relative_information_score: 26286.4628, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4667, scimark_benchmark: 1724.8648, usercpu_time_millis: 2187.075, usercpu_time_millis_testing: 12.34, usercpu_time_millis_training: 2174.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9608, kappa: 0.9039, kb_relative_information_score: 28551.408, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3869, scimark_benchmark: 1722.1444, usercpu_time_millis: 845.77, usercpu_time_millis_testing: 12.544, usercpu_time_millis_training: 833.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9538, kappa: 0.8868, kb_relative_information_score: 27800.4137, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199, scimark_benchmark: 1712.1417, usercpu_time_millis: 913.535, usercpu_time_millis_testing: 4.194, usercpu_time_millis_training: 909.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29419.4865, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3612, scimark_benchmark: 1732.8983, usercpu_time_millis: 1062.923, usercpu_time_millis_testing: 7.135, usercpu_time_millis_training: 1055.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9189, kappa: 0.7964, kb_relative_information_score: 24165.0377, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9216, prior_entropy: 0.863, recall: 0.9216, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5131, scimark_benchmark: 1732.3389, usercpu_time_millis: 1141.153, usercpu_time_millis_testing: 11.328, usercpu_time_millis_training: 1129.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9202, kappa: 0.8, kb_relative_information_score: 24691.7187, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5177, scimark_benchmark: 1816.9424, usercpu_time_millis: 1391.155, usercpu_time_millis_testing: 5.815, usercpu_time_millis_training: 1385.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9217, kappa: 0.8037, kb_relative_information_score: 24666.6509, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5127, scimark_benchmark: 1839.607, usercpu_time_millis: 1696.154, usercpu_time_millis_testing: 7.921, usercpu_time_millis_training: 1688.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 28349.2743, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.402, scimark_benchmark: 1245.5359, usercpu_time_millis: 3729.851, usercpu_time_millis_testing: 14.195, usercpu_time_millis_training: 3715.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 30174.7955, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593, scimark_benchmark: 1272.4685, usercpu_time_millis: 4086.22, usercpu_time_millis_testing: 6.302, usercpu_time_millis_training: 4079.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9446, kappa: 0.8637, kb_relative_information_score: 26341.5731, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4553, scimark_benchmark: 1818.4186, usercpu_time_millis: 614.887, usercpu_time_millis_testing: 7.105, usercpu_time_millis_training: 607.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9689, kappa: 0.9236, kb_relative_information_score: 29837.5551, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464, scimark_benchmark: 754.4711, usercpu_time_millis: 841.474, usercpu_time_millis_testing: 7.116, usercpu_time_millis_training: 834.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9375, kappa: 0.8451, kb_relative_information_score: 25734.4198, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4809, scimark_benchmark: 746.8178, usercpu_time_millis: 888.666, usercpu_time_millis_testing: 15.063, usercpu_time_millis_training: 873.603,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9566, kappa: 0.8937, kb_relative_information_score: 28088.1202, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4065, scimark_benchmark: 1769.1454, usercpu_time_millis: 1036.397, usercpu_time_millis_testing: 6.958, usercpu_time_millis_training: 1029.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.944, kappa: 0.862, kb_relative_information_score: 26605.4521, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4571, scimark_benchmark: 1763.4341, usercpu_time_millis: 1176.439, usercpu_time_millis_testing: 5.177, usercpu_time_millis_training: 1171.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 28312.0827, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1758.549, usercpu_time_millis: 1255.24, usercpu_time_millis_testing: 11.895, usercpu_time_millis_training: 1243.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9549, kappa: 0.8893, kb_relative_information_score: 27872.253, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4147, scimark_benchmark: 1732.7672, usercpu_time_millis: 2266.874, usercpu_time_millis_testing: 14.818, usercpu_time_millis_training: 2252.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9327, kappa: 0.8328, kb_relative_information_score: 25019.6252, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9337, prior_entropy: 0.863, recall: 0.9337, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943, scimark_benchmark: 1731.6816, usercpu_time_millis: 783.865, usercpu_time_millis_testing: 7.12, usercpu_time_millis_training: 776.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.936, kappa: 0.8415, kb_relative_information_score: 25837.7742, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4775, scimark_benchmark: 1759.7714, usercpu_time_millis: 963.327, usercpu_time_millis_testing: 5.533, usercpu_time_millis_training: 957.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28568.4347, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1732.1438, usercpu_time_millis: 1673.315, usercpu_time_millis_testing: 9.322, usercpu_time_millis_training: 1663.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9554, kappa: 0.8906, kb_relative_information_score: 27961.0052, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4117, scimark_benchmark: 1733.8207, usercpu_time_millis: 1690.198, usercpu_time_millis_testing: 12.641, usercpu_time_millis_training: 1677.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8901, kappa: 0.7239, kb_relative_information_score: 13554.9316, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8932, predictive_accuracy: 0.8937, prior_entropy: 0.863, recall: 0.8937, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7072, scimark_benchmark: 1373.4721, usercpu_time_millis: 41.916, usercpu_time_millis_testing: 3.484, usercpu_time_millis_training: 38.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28675.531, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3862, scimark_benchmark: 1374.5359, usercpu_time_millis: 75.207, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 73.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.938, kappa: 0.8467, kb_relative_information_score: 25894.1908, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4727, scimark_benchmark: 1369.5527, usercpu_time_millis: 450.212, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 445.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9164, kappa: 0.7899, kb_relative_information_score: 23106.819, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5298, scimark_benchmark: 1370.6642, usercpu_time_millis: 883.276, usercpu_time_millis_testing: 9.222, usercpu_time_millis_training: 874.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9599, kappa: 0.9015, kb_relative_information_score: 28639.5438, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3916, scimark_benchmark: 1373.5054, usercpu_time_millis: 987.924, usercpu_time_millis_testing: 3.378, usercpu_time_millis_training: 984.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28750.2515, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3827, scimark_benchmark: 1372.0397, usercpu_time_millis: 1265.886, usercpu_time_millis_testing: 12.677, usercpu_time_millis_training: 1253.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9592, kappa: 0.8999, kb_relative_information_score: 28429.9623, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3948, scimark_benchmark: 1366.4385, usercpu_time_millis: 1326.597, usercpu_time_millis_testing: 7.012, usercpu_time_millis_training: 1319.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 29233.0136, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3717, scimark_benchmark: 1374.412, usercpu_time_millis: 1351.673, usercpu_time_millis_testing: 3.375, usercpu_time_millis_training: 1348.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.932, kappa: 0.831, kb_relative_information_score: 24821.6068, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4953, scimark_benchmark: 1369.068, usercpu_time_millis: 838.637, usercpu_time_millis_testing: 14.713, usercpu_time_millis_training: 823.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9212, kappa: 0.8022, kb_relative_information_score: 24614.3073, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5095, scimark_benchmark: 1373.69, usercpu_time_millis: 1591.354, usercpu_time_millis_testing: 9.453, usercpu_time_millis_training: 1581.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9669, kappa: 0.9187, kb_relative_information_score: 29753.3565, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3561, scimark_benchmark: 1371.0589, usercpu_time_millis: 1743.903, usercpu_time_millis_testing: 4.277, usercpu_time_millis_training: 1739.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.944, kappa: 0.8621, kb_relative_information_score: 26682.8613, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4597, scimark_benchmark: 1368.5806, usercpu_time_millis: 96.739, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 96.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9447, kappa: 0.8637, kb_relative_information_score: 26612.5447, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4584, scimark_benchmark: 1369.1295, usercpu_time_millis: 4003.241, usercpu_time_millis_testing: 12.62, usercpu_time_millis_training: 3990.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9577, kappa: 0.8963, kb_relative_information_score: 28258.9262, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4041, scimark_benchmark: 1362.9518, usercpu_time_millis: 2877.605, usercpu_time_millis_testing: 11.533, usercpu_time_millis_training: 2866.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28807.514, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3802, scimark_benchmark: 1368.7873, usercpu_time_millis: 1163.95, usercpu_time_millis_testing: 9.352, usercpu_time_millis_training: 1154.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 28970.5244, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3782, scimark_benchmark: 1368.4593, usercpu_time_millis: 3407.108, usercpu_time_millis_testing: 11.935, usercpu_time_millis_training: 3395.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28979.8441, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1369.2144, usercpu_time_millis: 2036.02, usercpu_time_millis_testing: 17.981, usercpu_time_millis_training: 2018.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 30084.8888, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3466, scimark_benchmark: 1369.248, usercpu_time_millis: 6219.448, usercpu_time_millis_testing: 12.247, usercpu_time_millis_training: 6207.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 28243.1017, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3985, scimark_benchmark: 1368.811, usercpu_time_millis: 540.035, usercpu_time_millis_testing: 7.264, usercpu_time_millis_training: 532.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9421, kappa: 0.8573, kb_relative_information_score: 26304.9041, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4625, scimark_benchmark: 1369.0155, usercpu_time_millis: 1250.311, usercpu_time_millis_testing: 6.371, usercpu_time_millis_training: 1243.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.069, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1369.6169, usercpu_time_millis: 39.21, usercpu_time_millis_testing: 4.301, usercpu_time_millis_training: 34.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29597.3558, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1372.8408, usercpu_time_millis: 8432.47, usercpu_time_millis_testing: 15, usercpu_time_millis_training: 8417.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 30148.2238, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1370.0899, usercpu_time_millis: 5579.576, usercpu_time_millis_testing: 8.973, usercpu_time_millis_training: 5570.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.914, kappa: 0.7838, kb_relative_information_score: 24069.7096, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9169, prior_entropy: 0.863, recall: 0.9169, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5325, scimark_benchmark: 1365.6808, usercpu_time_millis: 3352.398, usercpu_time_millis_testing: 12.388, usercpu_time_millis_training: 3340.01,

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

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