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: 0.9144, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -673.4712, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8481, scimark_benchmark: 1777.6725, usercpu_time_millis: 5.76, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 5.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9063, kb_relative_information_score: -1471.1122, mean_absolute_error: 0.1086, 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: 0.9158, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9513, scimark_benchmark: 780.6553, usercpu_time_millis: 2.149, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 2.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.9063, kb_relative_information_score: -1118.3975, mean_absolute_error: 0.1055, 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: 0.8897, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.922, scimark_benchmark: 1768.3569, usercpu_time_millis: 11.59, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 10.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.8626, 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: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1765.5492, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -633.6947, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1796.0081, usercpu_time_millis: 7.828, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 7.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9249, kappa: 0.2374, kb_relative_information_score: -791.8346, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9301, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8563, scimark_benchmark: 1765.0555, usercpu_time_millis: 151.398, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 149.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -955.6909, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8824, scimark_benchmark: 1747.8079, usercpu_time_millis: 98.354, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 97.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1090.4652, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9033, scimark_benchmark: 768.4157, usercpu_time_millis: 74.979, usercpu_time_millis_testing: 1.752, usercpu_time_millis_training: 73.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.9063, kb_relative_information_score: -1495.8572, 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: 0.9213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9499, scimark_benchmark: 1800.6945, usercpu_time_millis: 40.21, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 39.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -669.0655, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513, scimark_benchmark: 1794.6851, usercpu_time_millis: 28.33, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 27.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -1135.2687, mean_absolute_error: 0.1034, 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: 0.8722, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 767.4908, usercpu_time_millis: 9.48, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 9.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -876.8067, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.8993, scimark_benchmark: 1749.2123, usercpu_time_millis: 9.038, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 8.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1355.5316, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9387, scimark_benchmark: 1771.0562, usercpu_time_millis: 16.028, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 15.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9288, kappa: 0.2888, kb_relative_information_score: -671.0175, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8529, scimark_benchmark: 1774.0239, usercpu_time_millis: 6.723, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 6.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.9063, kb_relative_information_score: -1235.7288, mean_absolute_error: 0.1102, 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: 0.9291, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.953, scimark_benchmark: 1791.5054, usercpu_time_millis: 8.318, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 7.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 4.9672, 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: 0.9963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1803.1267, usercpu_time_millis: 2.218, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.9063, kb_relative_information_score: -1299.2526, mean_absolute_error: 0.1109, 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: 0.9353, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9598, scimark_benchmark: 1802.2263, usercpu_time_millis: 1.625, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -928.6956, mean_absolute_error: 0.0986, 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: 0.8309, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8729, scimark_benchmark: 1851.3287, usercpu_time_millis: 37.887, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 37.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -967.8076, mean_absolute_error: 0.1, 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: 0.8428, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8909, scimark_benchmark: 1851.1348, usercpu_time_millis: 17.684, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 17.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -944.361, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8854, scimark_benchmark: 1862.1906, usercpu_time_millis: 17.307, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 16.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -932.7899, mean_absolute_error: 0.1, 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: 0.8427, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8892, scimark_benchmark: 1854.9533, usercpu_time_millis: 7.377, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 6.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.9063, kb_relative_information_score: -1471.448, mean_absolute_error: 0.1103, 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: 0.9296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9561, scimark_benchmark: 1851.3688, usercpu_time_millis: 6.708, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 6.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9256, kappa: 0.2461, kb_relative_information_score: -703.8112, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513, scimark_benchmark: 1852.9259, usercpu_time_millis: 5.853, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 5.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -931.052, mean_absolute_error: 0.0996, 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: 0.8398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8882, scimark_benchmark: 1849.7595, usercpu_time_millis: 3.617, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -32.8389, 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: 0.9984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1864.528, usercpu_time_millis: 0.543, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -700.97, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8517, scimark_benchmark: 1839.7911, usercpu_time_millis: 85.263, usercpu_time_millis_testing: 1.384, usercpu_time_millis_training: 83.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -883.8901, mean_absolute_error: 0.0971, 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: 0.8189, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8674, scimark_benchmark: 1841.2811, usercpu_time_millis: 71.019, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 70.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -767.644, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 2124.6311, usercpu_time_millis: 80.79, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 79.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -717.2107, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1836.6789, usercpu_time_millis: 62.801, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 61.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.9063, kb_relative_information_score: -1330.186, mean_absolute_error: 0.1063, 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: 0.8966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9302, scimark_benchmark: 1823.9902, usercpu_time_millis: 36.65, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 36.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -875.1191, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1851.1348, usercpu_time_millis: 44.6, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 43.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9232, kappa: 0.2143, kb_relative_information_score: -827.671, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1848.1391, usercpu_time_millis: 37.599, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 37.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9113, kappa: 0.0647, kb_relative_information_score: -1034.7337, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9218, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8855, scimark_benchmark: 1841.7343, usercpu_time_millis: 29.835, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 29.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -768.6063, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 2109.7083, usercpu_time_millis: 23.884, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 23.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -781.1513, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 2145.7909, usercpu_time_millis: 29.448, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 28.567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9214, kappa: 0.19, kb_relative_information_score: -801.6407, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9303, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1804.5023, usercpu_time_millis: 17.321, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 16.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9057, kappa: -0.0023, kb_relative_information_score: -1044.1042, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8776, predictive_accuracy: 0.9357, prior_entropy: 0.3411, recall: 0.9357, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9039, scimark_benchmark: 1957.0999, usercpu_time_millis: 30.315, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 29.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -803.4409, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8578, scimark_benchmark: 1844.8764, usercpu_time_millis: 35.485, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 34.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -627.5164, mean_absolute_error: 0.0924, 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: 0.7789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.846, scimark_benchmark: 1817.8143, usercpu_time_millis: 25.634, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 24.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9063, kb_relative_information_score: -1014.3582, mean_absolute_error: 0.1064, 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: 0.8968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9245, scimark_benchmark: 1818.9787, usercpu_time_millis: 9.112, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 7.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9063, kb_relative_information_score: -1380.3285, mean_absolute_error: 0.1079, 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: 0.9094, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9385, scimark_benchmark: 1843.1687, usercpu_time_millis: 20.145, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 19.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -859.0058, mean_absolute_error: 0.0971, 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: 0.8183, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8724, scimark_benchmark: 1845.7835, usercpu_time_millis: 26.057, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 25.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -1053.1244, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.8853, scimark_benchmark: 1958.1154, usercpu_time_millis: 23.26, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 22.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -758.776, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1853.3841, usercpu_time_millis: 29.848, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 29.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -716.3858, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8521, scimark_benchmark: 2135.7334, usercpu_time_millis: 30.239, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 29.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -958.2385, mean_absolute_error: 0.0988, 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: 0.8334, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8763, scimark_benchmark: 1791.3902, usercpu_time_millis: 33.835, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 33.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1100.6423, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9036, scimark_benchmark: 2007.5236, usercpu_time_millis: 13.932, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 13.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -840.2923, mean_absolute_error: 0.0976, 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: 0.8226, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.867, scimark_benchmark: 1849.2344, usercpu_time_millis: 9.397, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 9.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -697.2983, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1846.9558, usercpu_time_millis: 8.524, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 7.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -834.3118, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8732, scimark_benchmark: 1858.6076, usercpu_time_millis: 18.97, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 18.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.9063, kb_relative_information_score: -1207.5992, mean_absolute_error: 0.1104, 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: 0.9305, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.9551, scimark_benchmark: 1824.6401, usercpu_time_millis: 8.023, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 7.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.9063, kb_relative_information_score: -1447.0816, mean_absolute_error: 0.1069, 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: 0.9013, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9381, scimark_benchmark: 1807.7747, usercpu_time_millis: 6.454, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 6.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.9214, kappa: 0.19, kb_relative_information_score: -886.246, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9303, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8702, scimark_benchmark: 1807.8774, usercpu_time_millis: 4.756, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -929.2581, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1829.2661, usercpu_time_millis: 7.931, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 7.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.5808, 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: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1843.3605, usercpu_time_millis: 3.451, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 2.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -742.6724, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8694, scimark_benchmark: 1841.6688, usercpu_time_millis: 4.056, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 3.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.7455, 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: 0.9972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1811.7451, usercpu_time_millis: 4.054, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 3.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -46.3342, 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: 0.9984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1841.6688, usercpu_time_millis: 0.686, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.9161, kappa: 0.146, kb_relative_information_score: -1323.9183, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9126, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9178, scimark_benchmark: 1847.8629, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.9063, kb_relative_information_score: -1436.0406, mean_absolute_error: 0.1115, 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: 0.9402, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.966, scimark_benchmark: 2123.0743, usercpu_time_millis: 3.685, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.9063, kb_relative_information_score: -1489.3969, mean_absolute_error: 0.1084, 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: 0.9142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9448, scimark_benchmark: 2135.7334, usercpu_time_millis: 4.869, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.9063, kb_relative_information_score: -1200.726, mean_absolute_error: 0.1102, 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: 0.9292, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9498, scimark_benchmark: 1857.1082, usercpu_time_millis: 6.606, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 5.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9261, kappa: 0.2607, kb_relative_information_score: -666.6706, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9273, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8591, scimark_benchmark: 1797.6145, usercpu_time_millis: 11.27, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 11.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9262, kappa: 0.2497, kb_relative_information_score: -597.9599, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9335, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466, scimark_benchmark: 1810.8955, usercpu_time_millis: 14.441, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 13.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1484.8578, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.9385, scimark_benchmark: 1646.5167, usercpu_time_millis: 14.429, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 14.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -688.0089, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1925.9108, usercpu_time_millis: 14.52, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 13.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.9114, kappa: 0.0838, kb_relative_information_score: -1737.7279, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9052, predictive_accuracy: 0.9349, prior_entropy: 0.3411, recall: 0.9349, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.9898, scimark_benchmark: 1805.8734, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.509,

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