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: 0.849, f_measure: 0.9063, kb_relative_information_score: -1318.6405, mean_absolute_error: 0.1087, 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: 0.9166, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9433, scimark_benchmark: 1253.7142, usercpu_time_millis: 49.015, usercpu_time_millis_testing: 3.489, usercpu_time_millis_training: 45.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -892.0731, mean_absolute_error: 0.1009, 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: 0.8508, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1259.9296, usercpu_time_millis: 28.575, usercpu_time_millis_testing: 2.169, usercpu_time_millis_training: 26.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -697.0362, mean_absolute_error: 0.0955, 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: 0.8052, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8663, scimark_benchmark: 1249.7201, usercpu_time_millis: 73.482, usercpu_time_millis_testing: 5.201, usercpu_time_millis_training: 68.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -683.5685, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8644, scimark_benchmark: 1265.6208, usercpu_time_millis: 66.98, usercpu_time_millis_testing: 4.133, usercpu_time_millis_training: 62.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -685.3834, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8649, scimark_benchmark: 1247.7923, usercpu_time_millis: 35.835, usercpu_time_millis_testing: 3.308, usercpu_time_millis_training: 32.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -652.1488, mean_absolute_error: 0.0926, 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: 0.781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.857, scimark_benchmark: 1263.7129, usercpu_time_millis: 16.89, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 15.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -978.1119, mean_absolute_error: 0.1033, 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: 0.8713, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9009, scimark_benchmark: 1260.3566, usercpu_time_millis: 24.133, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 21.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -688.254, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8614, scimark_benchmark: 1267.748, usercpu_time_millis: 92.051, usercpu_time_millis_testing: 6.985, usercpu_time_millis_training: 85.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -620.8911, mean_absolute_error: 0.0934, 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: 0.7872, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511, scimark_benchmark: 1262.2668, usercpu_time_millis: 33.819, usercpu_time_millis_testing: 2.643, usercpu_time_millis_training: 31.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -689.6175, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8628, scimark_benchmark: 1253.5912, usercpu_time_millis: 75.383, usercpu_time_millis_testing: 3.291, usercpu_time_millis_training: 72.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -690.2664, mean_absolute_error: 0.0958, 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: 0.8076, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8612, scimark_benchmark: 1267.7244, usercpu_time_millis: 18.861, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 17.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -786.6779, mean_absolute_error: 0.0965, 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: 0.8132, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8746, scimark_benchmark: 1268.1002, usercpu_time_millis: 75.337, usercpu_time_millis_testing: 4.207, usercpu_time_millis_training: 71.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.9063, kb_relative_information_score: -1055.8779, 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: 0.8989, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9273, scimark_benchmark: 1268.6502, usercpu_time_millis: 14.022, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 12.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -872.5138, mean_absolute_error: 0.0998, 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: 0.8414, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8892, scimark_benchmark: 1263.3498, usercpu_time_millis: 8.734, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 8.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -750.3905, mean_absolute_error: 0.0952, 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: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1242.5778, usercpu_time_millis: 98.82, usercpu_time_millis_testing: 4.316, usercpu_time_millis_training: 94.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1007.4458, mean_absolute_error: 0.1017, 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: 0.8571, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.9, scimark_benchmark: 1257.2409, usercpu_time_millis: 94.441, usercpu_time_millis_testing: 4.789, usercpu_time_millis_training: 89.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -773.4428, mean_absolute_error: 0.0972, 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: 0.8195, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.872, scimark_benchmark: 1239.0037, usercpu_time_millis: 51.679, usercpu_time_millis_testing: 3.407, usercpu_time_millis_training: 48.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -798.2229, mean_absolute_error: 0.0977, 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: 0.8236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8738, scimark_benchmark: 1259.4017, usercpu_time_millis: 77.67, usercpu_time_millis_testing: 4.214, usercpu_time_millis_training: 73.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -838.3969, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8859, scimark_benchmark: 1262.3429, usercpu_time_millis: 29.151, usercpu_time_millis_testing: 2.666, usercpu_time_millis_training: 26.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.9063, kb_relative_information_score: -971.0178, mean_absolute_error: 0.1046, 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: 0.8821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9149, scimark_benchmark: 1264.8001, usercpu_time_millis: 35.116, usercpu_time_millis_testing: 3.566, usercpu_time_millis_training: 31.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9195, kappa: 0.1646, kb_relative_information_score: -694.7299, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8588, scimark_benchmark: 1265.542, usercpu_time_millis: 16.921, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 16.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -927.871, mean_absolute_error: 0.1013, 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: 0.8544, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8979, scimark_benchmark: 1272.2212, usercpu_time_millis: 55.144, usercpu_time_millis_testing: 4.49, usercpu_time_millis_training: 50.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -745.3522, 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: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8702, scimark_benchmark: 1258.2346, usercpu_time_millis: 51.71, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 49.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -688.2042, mean_absolute_error: 0.0944, 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: 0.7958, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1259.3223, usercpu_time_millis: 9.113, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 8.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -659.108, mean_absolute_error: 0.0938, 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: 0.7911, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1264.8031, usercpu_time_millis: 9.593, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 9.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -776.3617, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8728, scimark_benchmark: 1262.9999, usercpu_time_millis: 3.299, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -634.4328, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1276.489, usercpu_time_millis: 162.074, usercpu_time_millis_testing: 8.039, usercpu_time_millis_training: 154.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9277, kappa: 0.2669, kb_relative_information_score: -569.7031, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8434, scimark_benchmark: 1261.7326, usercpu_time_millis: 24.296, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 22.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -794.4487, mean_absolute_error: 0.0994, 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: 0.8378, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8803, scimark_benchmark: 1269.475, usercpu_time_millis: 61.877, usercpu_time_millis_testing: 5.716, usercpu_time_millis_training: 56.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9063, kb_relative_information_score: -952.5509, 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: 0.2243, root_relative_squared_error: 0.9223, scimark_benchmark: 1274.189, usercpu_time_millis: 9.589, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 8.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9063, kb_relative_information_score: -1013.3304, 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: 0.9097, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9334, scimark_benchmark: 1267.2332, usercpu_time_millis: 9.647, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 8.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.9063, kb_relative_information_score: -1001.2183, 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: 0.905, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9297, scimark_benchmark: 1269.3465, usercpu_time_millis: 3.382, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 3.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -946.3977, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9008, scimark_benchmark: 1244.8486, usercpu_time_millis: 38.777, usercpu_time_millis_testing: 2.827, usercpu_time_millis_training: 35.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -621.1331, mean_absolute_error: 0.0925, 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: 0.7801, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1273.9208, usercpu_time_millis: 122.897, usercpu_time_millis_testing: 6.577, usercpu_time_millis_training: 116.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.9063, kb_relative_information_score: -1190.2031, mean_absolute_error: 0.108, 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: 0.9104, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9379, scimark_benchmark: 1268.0756, usercpu_time_millis: 34.38, usercpu_time_millis_testing: 2.786, usercpu_time_millis_training: 31.594,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.9063, kb_relative_information_score: -1137.5093, mean_absolute_error: 0.1081, 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: 0.9118, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9369, scimark_benchmark: 1270.103, usercpu_time_millis: 26.827, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 24.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.9063, kb_relative_information_score: -1102.7109, 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: 0.8935, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9251, scimark_benchmark: 1274.8321, usercpu_time_millis: 25.608, usercpu_time_millis_testing: 2.288, usercpu_time_millis_training: 23.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.9063, kb_relative_information_score: -1125.573, mean_absolute_error: 0.1114, 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: 0.9392, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9567, scimark_benchmark: 1269.1276, usercpu_time_millis: 17.796, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 15.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.9063, kb_relative_information_score: -1114.0143, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9425, scimark_benchmark: 1273.4562, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 8.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9208, kappa: 0.1822, kb_relative_information_score: -692.1326, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.8606, scimark_benchmark: 1274.0153, usercpu_time_millis: 6.041, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 5.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -600.3836, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1250.0443, usercpu_time_millis: 109.384, usercpu_time_millis_testing: 7.165, usercpu_time_millis_training: 102.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -580.322, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8489, scimark_benchmark: 1256.3114, usercpu_time_millis: 64.938, usercpu_time_millis_testing: 3.515, usercpu_time_millis_training: 61.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -683.6639, mean_absolute_error: 0.0941, 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: 0.7934, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, scimark_benchmark: 1278.663, usercpu_time_millis: 100.855, usercpu_time_millis_testing: 5.607, usercpu_time_millis_training: 95.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9063, kb_relative_information_score: -903.2506, mean_absolute_error: 0.1025, 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: 0.8641, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.9019, scimark_benchmark: 1268.9747, usercpu_time_millis: 63.112, usercpu_time_millis_testing: 6.03, usercpu_time_millis_training: 57.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -675.1027, mean_absolute_error: 0.0959, 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: 0.8083, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1268.7459, usercpu_time_millis: 58.361, usercpu_time_millis_testing: 4.314, usercpu_time_millis_training: 54.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -785.0005, mean_absolute_error: 0.0961, 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: 0.8103, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8734, scimark_benchmark: 1267.0754, usercpu_time_millis: 83.157, usercpu_time_millis_testing: 4.521, usercpu_time_millis_training: 78.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -838.7729, mean_absolute_error: 0.1019, 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: 0.8587, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.8954, scimark_benchmark: 1276.0789, usercpu_time_millis: 42.682, usercpu_time_millis_testing: 4.173, usercpu_time_millis_training: 38.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -637.2465, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8518, scimark_benchmark: 1239.1295, usercpu_time_millis: 109.652, usercpu_time_millis_testing: 7.777, usercpu_time_millis_training: 101.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9177, kappa: 0.1393, kb_relative_information_score: -684.1355, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.209, root_relative_squared_error: 0.8594, scimark_benchmark: 1274.2499, usercpu_time_millis: 29.536, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 27.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9277, kappa: 0.2669, kb_relative_information_score: -557.487, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8411, scimark_benchmark: 1261.7333, usercpu_time_millis: 118.132, usercpu_time_millis_testing: 6.906, usercpu_time_millis_training: 111.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -587.0962, mean_absolute_error: 0.092, 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: 0.7754, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8481, scimark_benchmark: 1278.2985, usercpu_time_millis: 58.699, usercpu_time_millis_testing: 3.412, usercpu_time_millis_training: 55.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -804.5759, mean_absolute_error: 0.0993, 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: 0.8374, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8805, scimark_benchmark: 1274.9224, usercpu_time_millis: 57.636, usercpu_time_millis_testing: 4.646, usercpu_time_millis_training: 52.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -685.5299, mean_absolute_error: 0.0952, 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: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1268.2603, usercpu_time_millis: 107.701, usercpu_time_millis_testing: 6.607, usercpu_time_millis_training: 101.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -771.0864, mean_absolute_error: 0.0983, 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: 0.829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.8738, scimark_benchmark: 1257.5371, usercpu_time_millis: 11.42, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 10.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.9063, kb_relative_information_score: 3.3606, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1276.0413, usercpu_time_millis: 23.605, usercpu_time_millis_testing: 2.447, usercpu_time_millis_training: 21.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -642.2603, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1246.6831, usercpu_time_millis: 43.705, usercpu_time_millis_testing: 3.032, usercpu_time_millis_training: 40.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.925, kappa: 0.2339, kb_relative_information_score: -573.5137, mean_absolute_error: 0.0913, 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: 0.7694, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1251.8679, usercpu_time_millis: 119.743, usercpu_time_millis_testing: 6.607, usercpu_time_millis_training: 113.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -851.7407, mean_absolute_error: 0.0986, 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: 0.8313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.881, scimark_benchmark: 1275.3251, usercpu_time_millis: 55.748, usercpu_time_millis_testing: 3.643, usercpu_time_millis_training: 52.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9267, kappa: 0.2565, kb_relative_information_score: -580.6269, mean_absolute_error: 0.0913, 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: 0.7698, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8458, scimark_benchmark: 1276.2374, usercpu_time_millis: 66.851, usercpu_time_millis_testing: 3.228, usercpu_time_millis_training: 63.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.9063, kb_relative_information_score: -1168.2645, 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: 0.892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9257, scimark_benchmark: 1263.4893, usercpu_time_millis: 34.665, usercpu_time_millis_testing: 2.173, usercpu_time_millis_training: 32.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -956.8352, 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: 0.849, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8924, scimark_benchmark: 1256.2712, usercpu_time_millis: 26.038, usercpu_time_millis_testing: 1.828, usercpu_time_millis_training: 24.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -674.5265, mean_absolute_error: 0.0944, 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: 0.7962, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8528, scimark_benchmark: 1268.6442, usercpu_time_millis: 57.057, usercpu_time_millis_testing: 3.411, usercpu_time_millis_training: 53.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -821.4959, mean_absolute_error: 0.0987, 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: 0.8322, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8805, scimark_benchmark: 1276.6306, usercpu_time_millis: 48.14, usercpu_time_millis_testing: 3.223, usercpu_time_millis_training: 44.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.9063, kb_relative_information_score: -1122.1202, 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: 0.8992, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.9281, scimark_benchmark: 1272.5448, usercpu_time_millis: 27.483, usercpu_time_millis_testing: 2.32, usercpu_time_millis_training: 25.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -584.2883, mean_absolute_error: 0.0927, 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: 0.7818, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8496, scimark_benchmark: 1277.7754, usercpu_time_millis: 65.834, usercpu_time_millis_testing: 5.14, usercpu_time_millis_training: 60.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.9063, kb_relative_information_score: -997.2207, mean_absolute_error: 0.1121, 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: 0.9452, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9587, scimark_benchmark: 1251.8367, usercpu_time_millis: 12.12, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 10.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9063, kb_relative_information_score: -1103.6595, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9296, scimark_benchmark: 1263.4056, usercpu_time_millis: 48.263, usercpu_time_millis_testing: 4.913, usercpu_time_millis_training: 43.35,

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