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: 0.8323, f_measure: 0.9063, kb_relative_information_score: -1196.7251, 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: 0.9159, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.941, scimark_benchmark: 1707.9853, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: 4.0408, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1750.1151, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9273, kappa: 0.2679, kb_relative_information_score: -744.0168, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1712.5032, usercpu_time_millis: 134.451, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 133.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -797.5936, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1715.5292, usercpu_time_millis: 106.275, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 105.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9181, kappa: 0.1519, kb_relative_information_score: -747.134, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8711, scimark_benchmark: 1714.7898, usercpu_time_millis: 62.405, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 61.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1006.5586, mean_absolute_error: 0.0991, 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: 0.8357, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8955, scimark_benchmark: 1734.8349, usercpu_time_millis: 50.058, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 49.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -874.3841, mean_absolute_error: 0.0967, 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: 0.8156, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1724.4096, usercpu_time_millis: 25.376, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 25.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9305, kappa: 0.3202, kb_relative_information_score: -733.3959, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1723.9567, usercpu_time_millis: 23.416, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 23.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -760.7369, mean_absolute_error: 0.0946, 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: 0.7972, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8595, scimark_benchmark: 1723.6417, usercpu_time_millis: 21.779, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 21.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.9063, kb_relative_information_score: -1224.2519, mean_absolute_error: 0.105, 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: 0.8855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.9185, scimark_benchmark: 1723.2267, usercpu_time_millis: 17.905, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 17.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.9063, kb_relative_information_score: -1107.2562, 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: 0.2325, root_relative_squared_error: 0.9559, scimark_benchmark: 1726.7615, usercpu_time_millis: 13.379, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 12.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1060.8859, mean_absolute_error: 0.1017, 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: 0.8577, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9011, scimark_benchmark: 1715.5791, usercpu_time_millis: 10.231, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 9.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.9063, kb_relative_information_score: -1266.0955, mean_absolute_error: 0.1074, 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: 0.9056, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.9345, scimark_benchmark: 1759.0602, usercpu_time_millis: 5.241, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 4.966,
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: 0.4998, f_measure: 0.9063, kb_relative_information_score: -13.747, 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: 0.9983, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1726.7615, usercpu_time_millis: 3.439, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 2.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9227, kappa: 0.2069, kb_relative_information_score: -622.8172, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8492, scimark_benchmark: 1731.1761, usercpu_time_millis: 1.332, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9206, kappa: 0.1806, kb_relative_information_score: -720.0361, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9293, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8636, scimark_benchmark: 1718.188, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: -41.0386, mean_absolute_error: 0.1185, 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: 0.9987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1736.534, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -806.2378, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8588, scimark_benchmark: 1733.3115, usercpu_time_millis: 69.695, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 69.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -822.7324, mean_absolute_error: 0.0954, 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: 0.8042, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8632, scimark_benchmark: 1734.2753, usercpu_time_millis: 30.683, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 30.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -842.2627, mean_absolute_error: 0.0956, 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: 0.806, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1697.1081, usercpu_time_millis: 99.119, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 98.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.9154, kappa: 0.1097, kb_relative_information_score: -834.7694, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9386, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8768, scimark_benchmark: 1700.6191, usercpu_time_millis: 80.705, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 79.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.928, kappa: 0.2688, kb_relative_information_score: -784.3731, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8539, scimark_benchmark: 1711.2519, usercpu_time_millis: 65.658, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 64.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -791.2192, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8686, scimark_benchmark: 1729.6861, usercpu_time_millis: 60.864, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 59.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -901.4747, mean_absolute_error: 0.0982, 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: 0.8278, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8694, scimark_benchmark: 1732.8391, usercpu_time_millis: 53.161, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 52.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -919.9577, mean_absolute_error: 0.0982, 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: 0.8281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.8698, scimark_benchmark: 1846.0717, usercpu_time_millis: 56.441, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 55.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.9162, kappa: 0.1309, kb_relative_information_score: -822.7069, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9211, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8803, scimark_benchmark: 1717.6443, usercpu_time_millis: 54.009, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 53.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -674.4576, mean_absolute_error: 0.0929, 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: 0.7836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8488, scimark_benchmark: 1749.5171, usercpu_time_millis: 44.932, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 43.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.9063, kb_relative_information_score: -1341.2486, 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: 0.8928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.9284, scimark_benchmark: 1720.3009, usercpu_time_millis: 36.462, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 35.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -748.424, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1709.5279, usercpu_time_millis: 24.397, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 23.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -951.71, mean_absolute_error: 0.0979, 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: 0.8255, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8805, scimark_benchmark: 1734.7321, usercpu_time_millis: 23.264, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 22.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -778.4066, mean_absolute_error: 0.0948, 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: 0.7989, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8576, scimark_benchmark: 1727.2694, usercpu_time_millis: 20.371, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 19.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -701.8411, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1727.9064, usercpu_time_millis: 10.415, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 9.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.9063, kb_relative_information_score: -1297.6972, 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: 0.2285, root_relative_squared_error: 0.9395, scimark_benchmark: 1712.0526, usercpu_time_millis: 8.898, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 8.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -661.7035, mean_absolute_error: 0.0919, 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: 0.7745, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8559, scimark_benchmark: 1707.0357, usercpu_time_millis: 6.464, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 6.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9288, kappa: 0.2888, kb_relative_information_score: -755.4242, mean_absolute_error: 0.0922, 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: 0.7777, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8591, scimark_benchmark: 1728.0111, usercpu_time_millis: 124.91, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 123.863,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -939.4512, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.8891, scimark_benchmark: 1214.3054, usercpu_time_millis: 76.738, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 75.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9204, kappa: 0.2023, kb_relative_information_score: -804.8839, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9176, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8829, scimark_benchmark: 1200.9512, usercpu_time_millis: 138.551, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 137.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9148, kappa: 0.1287, kb_relative_information_score: -875.3151, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9107, predictive_accuracy: 0.9357, prior_entropy: 0.3411, recall: 0.9357, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8899, scimark_benchmark: 1202.4362, usercpu_time_millis: 167.464, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 166.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.9063, kb_relative_information_score: -1075.4515, mean_absolute_error: 0.1122, 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: 0.9458, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9629, scimark_benchmark: 1243.2048, usercpu_time_millis: 2.568, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 2.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.9063, kb_relative_information_score: -1598.2647, mean_absolute_error: 0.1091, 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: 0.9199, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9504, scimark_benchmark: 1201.3023, usercpu_time_millis: 74.409, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 73.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -835.7258, mean_absolute_error: 0.0964, 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: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1203.5435, usercpu_time_millis: 42.669, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 41.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1870.109, mean_absolute_error: 0.1105, 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: 0.932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9709, scimark_benchmark: 1198.4593, usercpu_time_millis: 46.233, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 45.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1059.2614, mean_absolute_error: 0.1007, 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: 0.8487, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1199.3215, usercpu_time_millis: 89.551, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 88.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -1006.2845, mean_absolute_error: 0.1005, 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: 0.8471, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9002, scimark_benchmark: 1201.5225, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9063, kb_relative_information_score: -1088.8881, 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: 0.9155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9408, scimark_benchmark: 1197.5514, usercpu_time_millis: 11.062, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 10.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.9063, kb_relative_information_score: -1256.062, mean_absolute_error: 0.1119, 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: 0.9437, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9648, scimark_benchmark: 1198.3004, usercpu_time_millis: 8.96, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 8.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.9318, kappa: 0.3315, kb_relative_information_score: -652.1792, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9321, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8548, scimark_benchmark: 1204.0903, usercpu_time_millis: 48.244, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 47.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.9063, kb_relative_information_score: -696.8381, mean_absolute_error: 0.1112, 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: 0.9374, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9573, scimark_benchmark: 1199.8911, usercpu_time_millis: 6.896, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 6.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1009.2931, 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: 0.2171, root_relative_squared_error: 0.8925, scimark_benchmark: 1198.356, usercpu_time_millis: 21.59, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 21.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -764.6498, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.933, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8561, scimark_benchmark: 1197.7819, usercpu_time_millis: 47.73, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 47.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -683.1952, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1190.3808, usercpu_time_millis: 9.153, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 8.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9239, kappa: 0.227, kb_relative_information_score: -782.1752, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8569, scimark_benchmark: 1199.0295, usercpu_time_millis: 128.358, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 126.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9237, kappa: 0.2215, kb_relative_information_score: -793.5174, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8591, scimark_benchmark: 1191.4778, usercpu_time_millis: 70.584, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 69.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9153, kappa: 0.1148, kb_relative_information_score: -905.1345, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9248, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1197.7594, usercpu_time_millis: 149.153, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 147.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -804.9916, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8575, scimark_benchmark: 1204.9587, usercpu_time_millis: 59.087, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 58.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.9063, kb_relative_information_score: -1603.325, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.9521, scimark_benchmark: 1197.4408, usercpu_time_millis: 66.854, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 66.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -1042.6684, mean_absolute_error: 0.1003, 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: 0.8453, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.891, scimark_benchmark: 1200.1354, usercpu_time_millis: 51.643, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 51.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -643.7875, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8668, scimark_benchmark: 1197.9166, usercpu_time_millis: 5.984, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 5.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -806.8445, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8626, scimark_benchmark: 1197.8565, usercpu_time_millis: 7.881, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 7.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1128.0506, mean_absolute_error: 0.1019, 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: 0.8587, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.904, scimark_benchmark: 1199.3427, usercpu_time_millis: 170.793, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 169.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.9063, kb_relative_information_score: -1707.8359, 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: 0.9301, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9633, scimark_benchmark: 1199.9141, usercpu_time_millis: 45.193, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 44.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.9063, kb_relative_information_score: -1234.4632, mean_absolute_error: 0.1073, 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: 0.9048, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9333, scimark_benchmark: 1199.5699, usercpu_time_millis: 6.09, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 5.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -960.1533, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8775, scimark_benchmark: 1197.828, usercpu_time_millis: 123.713, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 122.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.9063, kb_relative_information_score: -1376.7064, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9446, scimark_benchmark: 1197.5712, usercpu_time_millis: 18.174, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 17.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9233, kappa: 0.2438, kb_relative_information_score: -875.3074, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.92, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9018, scimark_benchmark: 1193.5964, usercpu_time_millis: 241.79, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 240.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.754, 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: 1197.6227, usercpu_time_millis: 3.569, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 2.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1098.5437, mean_absolute_error: 0.105, 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: 0.8854, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.92, scimark_benchmark: 1197.2959, usercpu_time_millis: 13.223, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 12.079,

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