Task
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: 0.9174, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -629.4587, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1256.5022, usercpu_time_millis: 134.871, usercpu_time_millis_testing: 8.312, usercpu_time_millis_training: 126.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.9063, kb_relative_information_score: -1141.5542, mean_absolute_error: 0.1066, 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: 0.8991, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9289, scimark_benchmark: 1260.1598, usercpu_time_millis: 66.826, usercpu_time_millis_testing: 4.476, usercpu_time_millis_training: 62.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -703.7867, mean_absolute_error: 0.0958, 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: 0.8076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8656, scimark_benchmark: 1259.816, usercpu_time_millis: 52.292, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 49.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -770.3692, mean_absolute_error: 0.0996, 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: 0.84, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8824, scimark_benchmark: 1261.2471, usercpu_time_millis: 32.512, usercpu_time_millis_testing: 3.251, usercpu_time_millis_training: 29.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -652.3171, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9378, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.859, scimark_benchmark: 1259.5022, usercpu_time_millis: 19.79, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 18.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.9063, kb_relative_information_score: -1037.0818, mean_absolute_error: 0.1035, 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: 0.8729, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9093, scimark_benchmark: 1254.9635, usercpu_time_millis: 18.861, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 17.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9063, kb_relative_information_score: -851.5024, mean_absolute_error: 0.1135, 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: 0.9566, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.235, root_relative_squared_error: 0.9661, scimark_benchmark: 1249.8817, usercpu_time_millis: 24.325, usercpu_time_millis_testing: 3.472, usercpu_time_millis_training: 20.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -760.004, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1254.7597, usercpu_time_millis: 33.795, usercpu_time_millis_testing: 2.719, usercpu_time_millis_training: 31.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -740.6757, mean_absolute_error: 0.0992, 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: 0.8365, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8812, scimark_benchmark: 1248.9746, usercpu_time_millis: 11.923, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 10.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -645.4646, mean_absolute_error: 0.0934, 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: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8505, scimark_benchmark: 1238.2949, usercpu_time_millis: 26.533, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 25.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.9063, kb_relative_information_score: -852.5062, mean_absolute_error: 0.1126, 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: 0.9491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.9613, scimark_benchmark: 1239.1474, usercpu_time_millis: 11.19, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 10.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -644.4539, mean_absolute_error: 0.093, 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: 0.7841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8472, scimark_benchmark: 1245.5189, usercpu_time_millis: 55.157, usercpu_time_millis_testing: 3.064, usercpu_time_millis_training: 52.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -796.9581, mean_absolute_error: 0.0992, 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: 0.8362, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.8821, scimark_benchmark: 1264.4066, usercpu_time_millis: 37.791, usercpu_time_millis_testing: 3.362, usercpu_time_millis_training: 34.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -553.9447, mean_absolute_error: 0.0911, 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: 0.768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8431, scimark_benchmark: 1263.0594, usercpu_time_millis: 114.306, usercpu_time_millis_testing: 7.3, usercpu_time_millis_training: 107.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9063, kb_relative_information_score: -803.1754, mean_absolute_error: 0.1017, 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: 0.8571, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1243.3844, usercpu_time_millis: 42.433, usercpu_time_millis_testing: 3.917, usercpu_time_millis_training: 38.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -645.3691, mean_absolute_error: 0.0942, 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: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1240.6399, usercpu_time_millis: 28.533, usercpu_time_millis_testing: 2.396, usercpu_time_millis_training: 26.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -670.824, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1260.7129, usercpu_time_millis: 89.576, usercpu_time_millis_testing: 5.145, usercpu_time_millis_training: 84.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -875.3951, mean_absolute_error: 0.0985, 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: 0.8302, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.885, scimark_benchmark: 1243.3581, usercpu_time_millis: 38.453, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 36.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -803.2508, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8778, scimark_benchmark: 1254.189, usercpu_time_millis: 25.194, usercpu_time_millis_testing: 1.982, usercpu_time_millis_training: 23.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1087.2169, mean_absolute_error: 0.1049, 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: 0.8844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9178, scimark_benchmark: 1260.4099, usercpu_time_millis: 11.053, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 10.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -559.5622, mean_absolute_error: 0.0901, 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: 0.7595, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8438, scimark_benchmark: 1249.8179, usercpu_time_millis: 28.964, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 27.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9186, kappa: 0.1548, kb_relative_information_score: -1058.6518, mean_absolute_error: 0.094, 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: 0.7928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.885, scimark_benchmark: 1239.5764, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -735.3069, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8727, scimark_benchmark: 1262.9933, usercpu_time_millis: 6.954, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 6.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -687.9207, mean_absolute_error: 0.0958, 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: 0.8078, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1263.1738, usercpu_time_millis: 17.655, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 16.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -770.4498, mean_absolute_error: 0.098, 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: 0.8264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.8754, scimark_benchmark: 1261.7306, usercpu_time_millis: 13.897, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 12.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -637.8781, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8468, scimark_benchmark: 1232.1052, usercpu_time_millis: 121.498, usercpu_time_millis_testing: 5.055, usercpu_time_millis_training: 116.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.9063, kb_relative_information_score: -1084.8683, mean_absolute_error: 0.1051, 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: 0.8865, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.9188, scimark_benchmark: 1262.8317, usercpu_time_millis: 52.807, usercpu_time_millis_testing: 3.493, usercpu_time_millis_training: 49.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -606.568, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8534, scimark_benchmark: 1255.7589, usercpu_time_millis: 87.626, usercpu_time_millis_testing: 6.939, usercpu_time_millis_training: 80.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -598.573, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1245.8709, usercpu_time_millis: 94.728, usercpu_time_millis_testing: 6.559, usercpu_time_millis_training: 88.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.9063, kb_relative_information_score: -1147.3798, mean_absolute_error: 0.1065, 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: 0.8977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9288, scimark_benchmark: 1259.2955, usercpu_time_millis: 30.414, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 28.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -664.708, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8535, scimark_benchmark: 1254.2219, usercpu_time_millis: 59.852, usercpu_time_millis_testing: 3.225, usercpu_time_millis_training: 56.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -824.4478, mean_absolute_error: 0.0983, 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: 0.8291, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1261.0222, usercpu_time_millis: 83.849, usercpu_time_millis_testing: 4.982, usercpu_time_millis_training: 78.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -689.2884, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8514, scimark_benchmark: 1240.6278, usercpu_time_millis: 30.398, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 29.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -616.0919, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1262.5289, usercpu_time_millis: 75.747, usercpu_time_millis_testing: 3.477, usercpu_time_millis_training: 72.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -737.891, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1244.2308, usercpu_time_millis: 47.369, usercpu_time_millis_testing: 3.706, usercpu_time_millis_training: 43.663,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -764.5762, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8706, scimark_benchmark: 1264.3971, usercpu_time_millis: 75.581, usercpu_time_millis_testing: 4.53, usercpu_time_millis_training: 71.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -691.1264, mean_absolute_error: 0.0961, 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: 0.8104, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1247.4799, usercpu_time_millis: 35.641, usercpu_time_millis_testing: 2.651, usercpu_time_millis_training: 32.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.9063, kb_relative_information_score: -992.5834, mean_absolute_error: 0.1111, 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: 0.9364, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9525, scimark_benchmark: 1266.1318, usercpu_time_millis: 31.958, usercpu_time_millis_testing: 2.977, usercpu_time_millis_training: 28.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -764.8964, mean_absolute_error: 0.0974, 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: 0.8211, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8769, scimark_benchmark: 1265.7902, usercpu_time_millis: 28.86, usercpu_time_millis_testing: 2.192, usercpu_time_millis_training: 26.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -814.1661, mean_absolute_error: 0.0988, 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: 0.833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8804, scimark_benchmark: 1247.4535, usercpu_time_millis: 59.063, usercpu_time_millis_testing: 4.14, usercpu_time_millis_training: 54.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -597.5609, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8506, scimark_benchmark: 1252.545, usercpu_time_millis: 54.203, usercpu_time_millis_testing: 3.167, usercpu_time_millis_training: 51.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -739.3565, mean_absolute_error: 0.0959, 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: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8686, scimark_benchmark: 1223.7204, usercpu_time_millis: 8.516, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 7.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.9063, kb_relative_information_score: -1206.1686, mean_absolute_error: 0.1061, 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: 0.8949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9285, scimark_benchmark: 1239.4953, usercpu_time_millis: 90.697, usercpu_time_millis_testing: 4.266, usercpu_time_millis_training: 86.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -659.5928, 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: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1247.3509, usercpu_time_millis: 56.061, usercpu_time_millis_testing: 3.883, usercpu_time_millis_training: 52.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -692.6447, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577, scimark_benchmark: 1248.8697, usercpu_time_millis: 63.873, usercpu_time_millis_testing: 4.215, usercpu_time_millis_training: 59.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -805.8742, mean_absolute_error: 0.0981, 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: 0.8271, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8793, scimark_benchmark: 1262.1766, usercpu_time_millis: 59.012, usercpu_time_millis_testing: 4.219, usercpu_time_millis_training: 54.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9063, kb_relative_information_score: -1182.5059, mean_absolute_error: 0.1059, 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: 0.8932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.927, scimark_benchmark: 1246.433, usercpu_time_millis: 34.077, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 32.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -638.7115, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1266.8802, usercpu_time_millis: 161.337, usercpu_time_millis_testing: 7.345, usercpu_time_millis_training: 153.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -794.1493, mean_absolute_error: 0.0993, 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: 0.8373, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8811, scimark_benchmark: 1246.4579, usercpu_time_millis: 45.391, usercpu_time_millis_testing: 3.575, usercpu_time_millis_training: 41.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -734.0281, mean_absolute_error: 0.0969, 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: 0.8171, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8691, scimark_benchmark: 1241.7134, usercpu_time_millis: 26.057, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 24.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -885.379, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8876, scimark_benchmark: 1253.4156, usercpu_time_millis: 14.62, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 13.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.9063, kb_relative_information_score: -1050.0871, mean_absolute_error: 0.106, 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: 0.8938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9232, scimark_benchmark: 1263.6613, usercpu_time_millis: 29.571, usercpu_time_millis_testing: 2.652, usercpu_time_millis_training: 26.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1055.0952, mean_absolute_error: 0.1032, 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: 0.8698, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9082, scimark_benchmark: 1264.3356, usercpu_time_millis: 79.139, usercpu_time_millis_testing: 4.282, usercpu_time_millis_training: 74.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -664.0174, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9378, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8605, scimark_benchmark: 1259.6387, usercpu_time_millis: 100.04, usercpu_time_millis_testing: 8.349, usercpu_time_millis_training: 91.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -707.3358, mean_absolute_error: 0.0952, 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: 0.8025, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8603, scimark_benchmark: 1252.2324, usercpu_time_millis: 122.559, usercpu_time_millis_testing: 5.905, usercpu_time_millis_training: 116.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -858.7293, mean_absolute_error: 0.0985, 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: 0.8303, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1262.5222, usercpu_time_millis: 91.729, usercpu_time_millis_testing: 4.3, usercpu_time_millis_training: 87.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9124, kappa: 0.0826, kb_relative_information_score: -1059.8239, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9164, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.904, scimark_benchmark: 1256.4384, usercpu_time_millis: 3.507, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 2.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -609.7846, mean_absolute_error: 0.0935, 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: 0.7887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8544, scimark_benchmark: 1258.6527, usercpu_time_millis: 79.173, usercpu_time_millis_testing: 5.559, usercpu_time_millis_training: 73.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9063, kb_relative_information_score: -1160.5021, 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: 0.2276, root_relative_squared_error: 0.9358, scimark_benchmark: 1250.1185, usercpu_time_millis: 46.088, usercpu_time_millis_testing: 3.429, usercpu_time_millis_training: 42.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9175, kappa: 0.1378, kb_relative_information_score: -743.996, mean_absolute_error: 0.0958, 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: 0.8079, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8646, scimark_benchmark: 1261.4611, usercpu_time_millis: 44.008, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 42.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -877.147, mean_absolute_error: 0.0989, 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: 0.8341, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.8835, scimark_benchmark: 1235.1339, usercpu_time_millis: 86.916, usercpu_time_millis_testing: 4.618, usercpu_time_millis_training: 82.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -599.4984, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1271.1111, usercpu_time_millis: 99.1, usercpu_time_millis_testing: 5.879, usercpu_time_millis_training: 93.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -761.4499, mean_absolute_error: 0.0975, 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: 0.8218, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.8657, scimark_benchmark: 1253.4182, usercpu_time_millis: 58.291, usercpu_time_millis_testing: 4.306, usercpu_time_millis_training: 53.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -798.7089, mean_absolute_error: 0.0987, 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: 0.8322, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.881, scimark_benchmark: 1250.4158, usercpu_time_millis: 29.665, usercpu_time_millis_testing: 2.146, usercpu_time_millis_training: 27.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -573.8845, mean_absolute_error: 0.0897, 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: 0.756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8412, scimark_benchmark: 1275.4096, usercpu_time_millis: 142.518, usercpu_time_millis_testing: 5.627, usercpu_time_millis_training: 136.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -690.1663, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1256.8913, usercpu_time_millis: 66.108, usercpu_time_millis_testing: 4.863, usercpu_time_millis_training: 61.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -556.5206, mean_absolute_error: 0.0909, 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: 0.7661, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.8436, scimark_benchmark: 1256.0396, usercpu_time_millis: 51.484, usercpu_time_millis_testing: 3.269, usercpu_time_millis_training: 48.215,

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