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: 0.9097, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -718.2945, mean_absolute_error: 0.0969, 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: 0.8171, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1254.7999, usercpu_time_millis: 62.229, usercpu_time_millis_testing: 5.094, usercpu_time_millis_training: 57.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.9063, kb_relative_information_score: -1132.8444, 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: 0.8964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9273, scimark_benchmark: 1254.4541, usercpu_time_millis: 60.075, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 56.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.9063, kb_relative_information_score: -1302.3411, 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: 0.9153, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.943, scimark_benchmark: 1246.57, usercpu_time_millis: 11.482, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 10.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -674.7931, mean_absolute_error: 0.0962, 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: 0.8112, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8653, scimark_benchmark: 1258.4833, usercpu_time_millis: 63.265, usercpu_time_millis_testing: 5.687, usercpu_time_millis_training: 57.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.9063, kb_relative_information_score: -1240.7758, 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: 0.9229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9459, scimark_benchmark: 1250.021, usercpu_time_millis: 43.711, usercpu_time_millis_testing: 3.522, usercpu_time_millis_training: 40.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -891.3125, 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: 0.8325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8863, scimark_benchmark: 1236.6401, usercpu_time_millis: 81.572, usercpu_time_millis_testing: 5.069, usercpu_time_millis_training: 76.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.9063, kb_relative_information_score: -1022.1635, mean_absolute_error: 0.1117, 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: 0.9414, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9575, scimark_benchmark: 1260.3779, usercpu_time_millis: 32.023, usercpu_time_millis_testing: 2.946, usercpu_time_millis_training: 29.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1068.1094, mean_absolute_error: 0.1035, 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: 0.8728, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9103, scimark_benchmark: 1249.5214, usercpu_time_millis: 30.17, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 28.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9063, kb_relative_information_score: -1005.125, mean_absolute_error: 0.1113, 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: 0.938, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.953, scimark_benchmark: 1243.0153, usercpu_time_millis: 28.041, usercpu_time_millis_testing: 3.2, usercpu_time_millis_training: 24.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.9063, kb_relative_information_score: -1023.2419, mean_absolute_error: 0.1083, 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: 0.9133, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9355, scimark_benchmark: 1236.5339, usercpu_time_millis: 24.152, usercpu_time_millis_testing: 2.481, usercpu_time_millis_training: 21.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -620.7033, mean_absolute_error: 0.0933, 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: 0.7868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1260.2151, usercpu_time_millis: 22.46, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 21.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -639.2838, mean_absolute_error: 0.0927, 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: 0.7814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8477, scimark_benchmark: 1243.2829, usercpu_time_millis: 62.809, usercpu_time_millis_testing: 3.08, usercpu_time_millis_training: 59.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.9063, kb_relative_information_score: -1335.4956, mean_absolute_error: 0.1107, 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: 0.9332, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9543, scimark_benchmark: 1246.0285, usercpu_time_millis: 5.694, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 5.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.9063, kb_relative_information_score: -1176.3046, 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: 0.8963, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.9288, scimark_benchmark: 1264.836, usercpu_time_millis: 70.349, usercpu_time_millis_testing: 4.253, usercpu_time_millis_training: 66.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -784.4741, 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: 0.8328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8767, scimark_benchmark: 1238.4514, usercpu_time_millis: 37.705, usercpu_time_millis_testing: 2.922, usercpu_time_millis_training: 34.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9063, kb_relative_information_score: -943.5541, mean_absolute_error: 0.103, 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: 0.868, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.9039, scimark_benchmark: 1247.4351, usercpu_time_millis: 34.889, usercpu_time_millis_testing: 3.022, usercpu_time_millis_training: 31.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9186, kappa: 0.1493, kb_relative_information_score: -656.5034, mean_absolute_error: 0.0952, 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: 0.8027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1148.0921, usercpu_time_millis: 70.002, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 65.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9063, kb_relative_information_score: -1131.4613, mean_absolute_error: 0.1077, 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: 0.9079, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9336, scimark_benchmark: 1239.2523, usercpu_time_millis: 21.816, usercpu_time_millis_testing: 1.758, usercpu_time_millis_training: 20.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -629.5257, mean_absolute_error: 0.0957, 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: 0.8067, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1242.3438, usercpu_time_millis: 55.046, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 49.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -770.3172, mean_absolute_error: 0.0972, 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: 0.8195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8714, scimark_benchmark: 1250.3402, usercpu_time_millis: 12.29, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 11.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -707.1326, mean_absolute_error: 0.0959, 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: 0.8083, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8683, scimark_benchmark: 1231.3623, usercpu_time_millis: 42.358, usercpu_time_millis_testing: 3.478, usercpu_time_millis_training: 38.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -658.4287, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1258.1669, usercpu_time_millis: 77.308, usercpu_time_millis_testing: 5.956, usercpu_time_millis_training: 71.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -632.0621, mean_absolute_error: 0.0941, 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: 0.7936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527, scimark_benchmark: 1249.768, usercpu_time_millis: 40.004, usercpu_time_millis_testing: 3.056, usercpu_time_millis_training: 36.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -826.6409, mean_absolute_error: 0.0992, 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: 0.8364, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8807, scimark_benchmark: 1251.1623, usercpu_time_millis: 69.239, usercpu_time_millis_testing: 5.395, usercpu_time_millis_training: 63.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1085.1914, mean_absolute_error: 0.1038, 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: 0.8749, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9127, scimark_benchmark: 1232.9212, usercpu_time_millis: 33.295, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 31.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -736.3489, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1250.0797, usercpu_time_millis: 18.059, usercpu_time_millis_testing: 1.373, usercpu_time_millis_training: 16.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -631.0533, mean_absolute_error: 0.0927, 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: 0.7814, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8462, scimark_benchmark: 1231.5392, usercpu_time_millis: 159.013, usercpu_time_millis_testing: 6.661, usercpu_time_millis_training: 152.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -858.7562, mean_absolute_error: 0.1011, 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: 0.8522, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8947, scimark_benchmark: 1250.7943, usercpu_time_millis: 42.767, usercpu_time_millis_testing: 3.992, usercpu_time_millis_training: 38.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -669.5945, mean_absolute_error: 0.0939, 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: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1239.9173, usercpu_time_millis: 105.073, usercpu_time_millis_testing: 4.816, usercpu_time_millis_training: 100.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.9063, kb_relative_information_score: -989.3534, mean_absolute_error: 0.1083, 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: 0.913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.9355, scimark_benchmark: 1243.284, usercpu_time_millis: 30.062, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 27.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -660.7763, mean_absolute_error: 0.0963, 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: 0.812, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, scimark_benchmark: 1238.7005, usercpu_time_millis: 91.826, usercpu_time_millis_testing: 8.024, usercpu_time_millis_training: 83.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.9063, kb_relative_information_score: -1154.7357, mean_absolute_error: 0.1058, 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: 0.8923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9255, scimark_benchmark: 1249.8027, usercpu_time_millis: 17.592, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 16.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -763.4846, mean_absolute_error: 0.096, 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: 0.8097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8738, scimark_benchmark: 1248.7476, usercpu_time_millis: 11.675, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 10.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -799.5226, mean_absolute_error: 0.0977, 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: 0.824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1244.6782, usercpu_time_millis: 77.866, usercpu_time_millis_testing: 4.509, usercpu_time_millis_training: 73.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -630.3176, mean_absolute_error: 0.0957, 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: 0.8069, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8656, scimark_benchmark: 1232.243, usercpu_time_millis: 73.676, usercpu_time_millis_testing: 7.08, usercpu_time_millis_training: 66.596,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -708.9556, mean_absolute_error: 0.0967, 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: 0.8151, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8646, scimark_benchmark: 1209.3996, usercpu_time_millis: 16.107, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 14.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -566.4888, mean_absolute_error: 0.0902, 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: 0.7604, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8412, scimark_benchmark: 1242.8256, usercpu_time_millis: 151.055, usercpu_time_millis_testing: 6.647, usercpu_time_millis_training: 144.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -639.4681, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8457, scimark_benchmark: 1255.7145, usercpu_time_millis: 73.062, usercpu_time_millis_testing: 3.442, usercpu_time_millis_training: 69.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9063, kb_relative_information_score: -913.0475, mean_absolute_error: 0.1028, 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: 0.8665, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.9036, scimark_benchmark: 1235.0586, usercpu_time_millis: 49.148, usercpu_time_millis_testing: 4.396, usercpu_time_millis_training: 44.752,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -637.4873, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1253.5011, usercpu_time_millis: 112.16, usercpu_time_millis_testing: 7.8, usercpu_time_millis_training: 104.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -906.9085, mean_absolute_error: 0.1018, 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: 0.8585, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8972, scimark_benchmark: 1238.6495, usercpu_time_millis: 52.884, usercpu_time_millis_testing: 4.677, usercpu_time_millis_training: 48.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9063, kb_relative_information_score: -914.2886, mean_absolute_error: 0.1034, 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: 0.8715, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.9053, scimark_benchmark: 1237.549, usercpu_time_millis: 26.89, usercpu_time_millis_testing: 2.231, usercpu_time_millis_training: 24.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -963.2323, mean_absolute_error: 0.1009, 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: 0.851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.8961, scimark_benchmark: 1249.1259, usercpu_time_millis: 67.138, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 63.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.9063, kb_relative_information_score: -1171.0552, mean_absolute_error: 0.1067, 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: 0.8993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9298, scimark_benchmark: 1230.8184, usercpu_time_millis: 61.095, usercpu_time_millis_testing: 3.802, usercpu_time_millis_training: 57.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.9063, kb_relative_information_score: -1027.7162, 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: 0.2225, root_relative_squared_error: 0.9148, scimark_benchmark: 1249.2182, usercpu_time_millis: 16.528, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 15.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -827.6714, 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: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8756, scimark_benchmark: 1252.5401, usercpu_time_millis: 55.098, usercpu_time_millis_testing: 3.528, usercpu_time_millis_training: 51.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: -1.5107, 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: 1238.4828, usercpu_time_millis: 8.968, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 7.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.9063, kb_relative_information_score: -1128.8489, 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: 0.8959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9271, scimark_benchmark: 1257.442, usercpu_time_millis: 26.639, usercpu_time_millis_testing: 2.427, usercpu_time_millis_training: 24.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.9063, kb_relative_information_score: -1102.4773, 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: 0.9139, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.938, scimark_benchmark: 1249.3759, usercpu_time_millis: 12.531, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 11.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9252, kappa: 0.2392, kb_relative_information_score: -583.6333, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8457, scimark_benchmark: 1247.7002, usercpu_time_millis: 48.209, usercpu_time_millis_testing: 2.676, usercpu_time_millis_training: 45.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.9111, kappa: 0.0699, kb_relative_information_score: -1096.9319, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9094, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.926, scimark_benchmark: 1253.0556, usercpu_time_millis: 1.846, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -592.2568, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8502, scimark_benchmark: 1258.0455, usercpu_time_millis: 101.037, usercpu_time_millis_testing: 5.481, usercpu_time_millis_training: 95.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.9063, kb_relative_information_score: -1008.4108, 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: 0.9064, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.9309, scimark_benchmark: 1247.0619, usercpu_time_millis: 39.316, usercpu_time_millis_testing: 4.029, usercpu_time_millis_training: 35.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9063, kb_relative_information_score: -998.5743, mean_absolute_error: 0.1106, 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: 0.9325, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.9493, scimark_benchmark: 1249.4562, usercpu_time_millis: 30.295, usercpu_time_millis_testing: 3.04, usercpu_time_millis_training: 27.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -860.6087, 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: 0.8359, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.8856, scimark_benchmark: 1233.2371, usercpu_time_millis: 17.896, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 16.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -695.8612, mean_absolute_error: 0.0968, 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: 0.8163, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8736, scimark_benchmark: 1236.5025, usercpu_time_millis: 8.182, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 7.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -559.8747, mean_absolute_error: 0.0912, 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: 0.7687, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8452, scimark_benchmark: 1233.8751, usercpu_time_millis: 109.089, usercpu_time_millis_testing: 7.14, usercpu_time_millis_training: 101.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -903.8154, mean_absolute_error: 0.1012, 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: 0.8533, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8947, scimark_benchmark: 1241.0271, usercpu_time_millis: 60.501, usercpu_time_millis_testing: 4.445, usercpu_time_millis_training: 56.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9063, kb_relative_information_score: -1209.5017, mean_absolute_error: 0.1105, 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: 0.9315, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9528, scimark_benchmark: 1251.457, usercpu_time_millis: 5.583, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 5.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -717.959, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1255.3455, usercpu_time_millis: 54.974, usercpu_time_millis_testing: 3.613, usercpu_time_millis_training: 51.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.9063, kb_relative_information_score: -1206.4062, 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: 0.9059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.934, scimark_benchmark: 1252.2419, usercpu_time_millis: 44.501, usercpu_time_millis_testing: 2.732, usercpu_time_millis_training: 41.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -905.5025, mean_absolute_error: 0.1001, 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: 0.8439, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8894, scimark_benchmark: 1259.3489, usercpu_time_millis: 88.255, usercpu_time_millis_testing: 5.232, usercpu_time_millis_training: 83.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.9063, kb_relative_information_score: -1289.7236, mean_absolute_error: 0.1096, 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: 0.9239, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9475, scimark_benchmark: 1258.2466, usercpu_time_millis: 33.631, usercpu_time_millis_testing: 2.436, usercpu_time_millis_training: 31.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.9063, kb_relative_information_score: -1117.4294, mean_absolute_error: 0.1043, 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: 0.8796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9169, scimark_benchmark: 1259.9079, usercpu_time_millis: 32.889, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 30.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -852.4673, 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: 0.2152, root_relative_squared_error: 0.8849, scimark_benchmark: 1263.0372, usercpu_time_millis: 56.994, usercpu_time_millis_testing: 4.053, usercpu_time_millis_training: 52.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -633.6664, mean_absolute_error: 0.0939, 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: 0.7918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8573, scimark_benchmark: 1251.8285, usercpu_time_millis: 54.597, usercpu_time_millis_testing: 4.016, usercpu_time_millis_training: 50.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.9063, kb_relative_information_score: -1355.6656, 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: 0.937, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.9577, scimark_benchmark: 1250.1517, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -791.2397, mean_absolute_error: 0.0979, 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: 0.8254, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1249.8562, usercpu_time_millis: 43.071, usercpu_time_millis_testing: 3.195, usercpu_time_millis_training: 39.876,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs