OpenML
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -827.4737, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.877, scimark_benchmark: 1372.0032, usercpu_time_millis: 17.134, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 16.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 3.1186, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1377.7726, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 2.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.9063, kb_relative_information_score: -1431.9509, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9495, scimark_benchmark: 1378.2029, usercpu_time_millis: 9.701, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 9.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -767.4096, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1383.0171, usercpu_time_millis: 3.643, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 3.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 0.7063, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1377.3277, usercpu_time_millis: 3.104, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 2.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.9063, kb_relative_information_score: -1072.1779, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9317, scimark_benchmark: 1385.4275, usercpu_time_millis: 6.108, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 5.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9063, kb_relative_information_score: -1552.2293, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9512, scimark_benchmark: 1376.8047, usercpu_time_millis: 41.273, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 40.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9283, kappa: 0.2893, kb_relative_information_score: -735.7768, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1381.9084, usercpu_time_millis: 60.531, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 60.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -1039.7493, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8914, scimark_benchmark: 1376.8444, usercpu_time_millis: 21.698, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 21.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9276, kappa: 0.2697, kb_relative_information_score: -674.182, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8484, scimark_benchmark: 1380.9119, usercpu_time_millis: 43.566, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 42.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.9274, kappa: 0.265, kb_relative_information_score: -765.9061, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8529, scimark_benchmark: 1380.0028, usercpu_time_millis: 113.456, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 111.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.9063, kb_relative_information_score: -1233.0779, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9184, scimark_benchmark: 1378.7273, usercpu_time_millis: 74.811, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 73.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9208, kappa: 0.1868, kb_relative_information_score: -784.3588, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.927, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8735, scimark_benchmark: 1379.8902, usercpu_time_millis: 65.445, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 64.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.9063, kb_relative_information_score: 4.1343, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1379.7035, usercpu_time_millis: 1.88, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9063, kb_relative_information_score: -1380.863, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.941, scimark_benchmark: 1378.7504, usercpu_time_millis: 23.328, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 22.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 2.9648, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1375.273, usercpu_time_millis: 4.965, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 4.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -828.1463, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8662, scimark_benchmark: 1376.4314, usercpu_time_millis: 64.801, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 63.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9138, kappa: 0.0955, kb_relative_information_score: -729.863, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1378.4816, usercpu_time_millis: 4.704, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 4.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9283, kappa: 0.2957, kb_relative_information_score: -755.0105, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.927, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, scimark_benchmark: 1375.9573, usercpu_time_millis: 133.833, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 132.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1037.6141, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8991, scimark_benchmark: 1377.2033, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1041.4768, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.8929, scimark_benchmark: 1381.6983, usercpu_time_millis: 205.857, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 204.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.9063, kb_relative_information_score: -1237.8112, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.949, scimark_benchmark: 1378.3748, usercpu_time_millis: 11.666, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 11.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9274, kappa: 0.2725, kb_relative_information_score: -601.9396, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8502, scimark_benchmark: 1378.4188, usercpu_time_millis: 52.537, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 51.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.9063, kb_relative_information_score: -1216.5057, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9425, scimark_benchmark: 1376.1398, usercpu_time_millis: 8.501, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 7.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -795.1372, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8551, scimark_benchmark: 1374.5915, usercpu_time_millis: 84.396, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 83.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9063, kb_relative_information_score: -1475.0505, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9456, scimark_benchmark: 1375.2142, usercpu_time_millis: 19.11, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 18.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9165, kappa: 0.1323, kb_relative_information_score: -841.1446, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9231, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8813, scimark_benchmark: 1379.1626, usercpu_time_millis: 34.076, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 33.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 4.0253, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1365.8513, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9186, kappa: 0.1548, kb_relative_information_score: -879.7623, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8722, scimark_benchmark: 1376.3757, usercpu_time_millis: 117.404, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 116.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -635.7416, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8574, scimark_benchmark: 1375.6724, usercpu_time_millis: 2.607, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 2.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -1246.6169, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9095, scimark_benchmark: 1376.6252, usercpu_time_millis: 8.662, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 8.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.9063, kb_relative_information_score: -1249.9351, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9199, scimark_benchmark: 1366.8389, usercpu_time_millis: 22.677, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 22.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9257, kappa: 0.2542, kb_relative_information_score: -644.2467, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1375.3353, usercpu_time_millis: 48.081, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 46.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.9063, kb_relative_information_score: -922.273, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9627, scimark_benchmark: 1376.9681, usercpu_time_millis: 1.255, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.9063, kb_relative_information_score: -1289.6587, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9248, scimark_benchmark: 1376.9571, usercpu_time_millis: 21.663, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 21.264,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -815.4053, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1373.1829, usercpu_time_millis: 71.181, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 70.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -938.6811, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8798, scimark_benchmark: 1377.3509, usercpu_time_millis: 68.636, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 68.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9241, kappa: 0.2287, kb_relative_information_score: -754.8845, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8623, scimark_benchmark: 1383.835, usercpu_time_millis: 68.896, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 68.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.9063, kb_relative_information_score: -1401.1768, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.953, scimark_benchmark: 1371.632, usercpu_time_millis: 8.573, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 7.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -934.4438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8802, scimark_benchmark: 1368.6938, usercpu_time_millis: 73.929, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 72.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.9063, kb_relative_information_score: -1428.8857, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9497, scimark_benchmark: 1373.807, usercpu_time_millis: 7.8, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 7.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.9063, kb_relative_information_score: -1515.8115, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9484, scimark_benchmark: 1379.5992, usercpu_time_millis: 17.54, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 17.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -669.6986, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1374.7245, usercpu_time_millis: 7.026, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 6.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -940.3591, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8785, scimark_benchmark: 1371.4446, usercpu_time_millis: 137.282, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 136.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9285, kappa: 0.2869, kb_relative_information_score: -683.1438, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9307, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8504, scimark_benchmark: 1374.7413, usercpu_time_millis: 8.052, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 7.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -781.1359, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1378.7836, usercpu_time_millis: 37.585, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 36.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 3.8802, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1379.3729, usercpu_time_millis: 2.233, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.9063, kb_relative_information_score: -1295.8719, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.9328, scimark_benchmark: 1371.215, usercpu_time_millis: 21.691, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 20.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -929.1543, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8717, scimark_benchmark: 1376.6388, usercpu_time_millis: 48.286, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 47.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9322, kappa: 0.337, kb_relative_information_score: -686.264, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9321, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8603, scimark_benchmark: 1373.5622, usercpu_time_millis: 5.485, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 5.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -1077.9152, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8874, scimark_benchmark: 1379.6596, usercpu_time_millis: 29.954, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 29.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -667.4247, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8512, scimark_benchmark: 1371.2328, usercpu_time_millis: 82.658, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 81.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9248, kappa: 0.2408, kb_relative_information_score: -720.3116, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9276, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1378.1366, usercpu_time_millis: 6.137, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 5.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -821.6403, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1381.9487, usercpu_time_millis: 11.87, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 11.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -901.9033, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1368.8474, usercpu_time_millis: 54.593, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 53.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -791.2484, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1371.3212, usercpu_time_millis: 50.763, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 50.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -676.6885, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852, scimark_benchmark: 1370.8799, usercpu_time_millis: 30.534, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 29.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.9063, kb_relative_information_score: -1146.9919, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9171, scimark_benchmark: 1368.8119, usercpu_time_millis: 27.705, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 26.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -788.1243, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8678, scimark_benchmark: 1369.1147, usercpu_time_millis: 24.378, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 23.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -820.9687, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8671, scimark_benchmark: 1371.2179, usercpu_time_millis: 21.712, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 20.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.9322, kappa: 0.337, kb_relative_information_score: -724.6196, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9321, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8659, scimark_benchmark: 1451.9194, usercpu_time_millis: 43.261, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 42.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1062.3261, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8977, scimark_benchmark: 1392.3094, usercpu_time_millis: 40.511, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 39.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.9063, kb_relative_information_score: -1485.2342, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9477, scimark_benchmark: 1456.0681, usercpu_time_millis: 13.133, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 12.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -796.8968, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8687, scimark_benchmark: 1377.0682, usercpu_time_millis: 95.893, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 94.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.9309, kappa: 0.3257, kb_relative_information_score: -782.8095, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9301, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8761, scimark_benchmark: 1368.0163, usercpu_time_millis: 187.875, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 186.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.9063, kb_relative_information_score: -1289.2403, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.9411, scimark_benchmark: 1377.7091, usercpu_time_millis: 28.567, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 27.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -859.6319, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8684, scimark_benchmark: 1375.5454, usercpu_time_millis: 14.806, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 14.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9239, kappa: 0.2232, kb_relative_information_score: -741.3961, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9309, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1364.1796, usercpu_time_millis: 8.873, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 8.678,

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