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: 0.916, f_measure: 0.9289, kappa: 0.3198, kb_relative_information_score: -365.0731, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9256, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1850.2875, usercpu_time_millis: 80.233, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 80.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.9063, kb_relative_information_score: -994.4521, mean_absolute_error: 0.1101, 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: 0.9285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9481, scimark_benchmark: 1851.3986, usercpu_time_millis: 129.732, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 129.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9333, kappa: 0.362, kb_relative_information_score: -394.3427, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1804.8554, usercpu_time_millis: 19.388, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 19.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.9233, kappa: 0.2236, kb_relative_information_score: -588.3982, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9257, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1842.8169, usercpu_time_millis: 6.534, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 6.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.9156, kappa: 0.1223, kb_relative_information_score: -792.0576, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9216, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8838, scimark_benchmark: 1849.8294, usercpu_time_millis: 16.075, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 16.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -372.589, mean_absolute_error: 0.0931, 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: 0.7846, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1853.9121, usercpu_time_millis: 8.275, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 8.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.9063, kb_relative_information_score: -1411.3647, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9475, scimark_benchmark: 1756.1179, usercpu_time_millis: 7.224, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 7.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -13102.7352, mean_absolute_error: 0.2879, 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: 2.4276, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3112, root_relative_squared_error: 1.2795, scimark_benchmark: 1855.4812, usercpu_time_millis: 9.485, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 9.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.9063, kb_relative_information_score: -13205.5298, mean_absolute_error: 0.2904, 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: 2.4486, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3126, root_relative_squared_error: 1.2854, scimark_benchmark: 1850.2601, usercpu_time_millis: 11.986, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 11.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -16230.9263, mean_absolute_error: 0.3771, 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: 3.1793, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3833, root_relative_squared_error: 1.5758, scimark_benchmark: 1853.5297, usercpu_time_millis: 15.594, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 15.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9311, kappa: 0.3631, kb_relative_information_score: 231.944, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9051, scimark_benchmark: 1849.7595, usercpu_time_millis: 5.139, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 5.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9265, kappa: 0.2595, kb_relative_information_score: -414.415, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8474, scimark_benchmark: 1848.8462, usercpu_time_millis: 19.743, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 19.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.9063, kb_relative_information_score: -856.0644, mean_absolute_error: 0.1151, 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: 0.9706, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.9741, scimark_benchmark: 1815.5377, usercpu_time_millis: 12.068, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 12.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.9063, kb_relative_information_score: -814.9812, mean_absolute_error: 0.1151, 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: 0.9708, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.9751, scimark_benchmark: 1851.8567, usercpu_time_millis: 28.404, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 28.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -767.0981, mean_absolute_error: 0.0961, 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: 0.8099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8776, scimark_benchmark: 1848.7762, usercpu_time_millis: 34.321, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 34.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: -12647.8592, mean_absolute_error: 0.2773, 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: 2.3377, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.2488, scimark_benchmark: 1857.6392, usercpu_time_millis: 25.678, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 25.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9246, kappa: 0.2357, kb_relative_information_score: -599.1607, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9289, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8676, scimark_benchmark: 1853.9121, usercpu_time_millis: 26.895, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 26.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.9063, kb_relative_information_score: -2026.2862, mean_absolute_error: 0.1324, 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: 1.1162, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2444, root_relative_squared_error: 1.0047, scimark_benchmark: 1844.7928, usercpu_time_millis: 3.05, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 3.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.9161, kappa: 0.125, kb_relative_information_score: -727.146, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, scimark_benchmark: 1844.149, usercpu_time_millis: 34.025, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 34.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9216, kappa: 0.2004, kb_relative_information_score: -658.6357, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.925, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8707, scimark_benchmark: 1869.7524, usercpu_time_millis: 7.741, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 7.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.9063, kb_relative_information_score: -7370.1206, mean_absolute_error: 0.1851, 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: 1.5605, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2538, root_relative_squared_error: 1.0436, scimark_benchmark: 1847.7616, usercpu_time_millis: 45.13, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 45.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1723.8447, mean_absolute_error: 0.1292, 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: 1.0893, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.926, scimark_benchmark: 1723.5631, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.9063, kb_relative_information_score: -1010.6627, mean_absolute_error: 0.114, 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: 0.9609, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9737, scimark_benchmark: 1736.4936, usercpu_time_millis: 7.128, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 7.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.9138, kappa: 0.0955, kb_relative_information_score: -920.4033, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.8951, scimark_benchmark: 1845.7061, usercpu_time_millis: 27.591, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 27.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -831.5433, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.8859, scimark_benchmark: 1853.9121, usercpu_time_millis: 31.512, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 31.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.9063, kb_relative_information_score: -5831.6515, mean_absolute_error: 0.1679, 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: 1.4152, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2446, root_relative_squared_error: 1.0059, scimark_benchmark: 1856.2045, usercpu_time_millis: 14.743, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 14.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9332, kappa: 0.376, kb_relative_information_score: -328.9177, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.878, scimark_benchmark: 1841.6847, usercpu_time_millis: 40.324, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 40.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9299, kappa: 0.3352, kb_relative_information_score: -340.3509, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9264, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.863, scimark_benchmark: 1853.97, usercpu_time_millis: 31.16, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 31.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.9063, kb_relative_information_score: -1232.823, mean_absolute_error: 0.1227, 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: 1.0347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.9618, scimark_benchmark: 1872.3981, usercpu_time_millis: 7.822, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 7.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9279, kappa: 0.2832, kb_relative_information_score: -547.052, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1851.3018, usercpu_time_millis: 35.258, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 35.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9211, kappa: 0.1884, kb_relative_information_score: -359.4394, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8641, scimark_benchmark: 1843.7188, usercpu_time_millis: 31.008, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 30.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9338, kappa: 0.363, kb_relative_information_score: 169.4128, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.204, root_relative_squared_error: 0.839, scimark_benchmark: 1781.911, usercpu_time_millis: 8.713, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 8.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.9063, kb_relative_information_score: -17541.6855, mean_absolute_error: 0.4244, 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: 3.578, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.7525, scimark_benchmark: 2059.5603, usercpu_time_millis: 2.416, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 2.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9251, kappa: 0.2904, kb_relative_information_score: -184.3432, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9203, predictive_accuracy: 0.9349, prior_entropy: 0.3411, recall: 0.9349, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9012, scimark_benchmark: 1857.1082, usercpu_time_millis: 40.238, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 40.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -928.5805, mean_absolute_error: 0.0989, 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: 0.8342, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.8966, scimark_benchmark: 1848.388, usercpu_time_millis: 7.133, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 7.117,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9245, kappa: 0.2391, kb_relative_information_score: -553.3964, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9265, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1877.8242, usercpu_time_millis: 8.45, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 8.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9144, kappa: 0.1046, kb_relative_information_score: -842.0616, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9232, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8877, scimark_benchmark: 1839.8979, usercpu_time_millis: 28.05, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 28.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.932, kappa: 0.3543, kb_relative_information_score: 549.3671, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9018, scimark_benchmark: 1845.779, usercpu_time_millis: 21.366, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 21.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.9063, kb_relative_information_score: -1200.9344, 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: 0.924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.9372, scimark_benchmark: 1729.1975, usercpu_time_millis: 45.997, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 45.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.934, kappa: 0.3917, kb_relative_information_score: 125.6609, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.8917, scimark_benchmark: 1828.5093, usercpu_time_millis: 19.958, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 19.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9063, kb_relative_information_score: -855.3412, 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: 0.8961, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9249, scimark_benchmark: 1851.1088, usercpu_time_millis: 23.947, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 23.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9063, kb_relative_information_score: -1354.0223, mean_absolute_error: 0.1199, 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: 1.011, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9062, scimark_benchmark: 1855.4813, usercpu_time_millis: 16.937, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 16.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9093, kappa: 0.0419, kb_relative_information_score: -954.5002, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9106, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.903, scimark_benchmark: 1823.0903, usercpu_time_millis: 6.007, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 5.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9309, kappa: 0.3557, kb_relative_information_score: -355.8973, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9272, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.217, root_relative_squared_error: 0.8921, scimark_benchmark: 1735.1328, usercpu_time_millis: 37.95, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 37.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9332, kappa: 0.356, kb_relative_information_score: 52.5128, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9319, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8485, scimark_benchmark: 1736.0502, usercpu_time_millis: 20.348, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 20.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.9197, kappa: 0.2909, kb_relative_information_score: 57.9202, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9165, predictive_accuracy: 0.9234, prior_entropy: 0.3411, recall: 0.9234, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.062, scimark_benchmark: 1797.8683, usercpu_time_millis: 27.43, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 27.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.9086, kappa: 0.0317, kb_relative_information_score: -975.8852, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9102, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.903, scimark_benchmark: 1851.2167, usercpu_time_millis: 21.748, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 21.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9342, kappa: 0.365, kb_relative_information_score: -423.8368, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.8621, scimark_benchmark: 1837.9355, usercpu_time_millis: 45.248, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 45.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9321, kappa: 0.363, kb_relative_information_score: -334.0202, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9287, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.214, root_relative_squared_error: 0.88, scimark_benchmark: 1818.0286, usercpu_time_millis: 41.521, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 41.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -19324.0716, mean_absolute_error: 0.5, 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: 4.2155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0558, scimark_benchmark: 2138.1502, usercpu_time_millis: 1.679, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.9063, kb_relative_information_score: -4352.1114, mean_absolute_error: 0.1517, 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: 1.2787, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2445, root_relative_squared_error: 1.0054, scimark_benchmark: 1720.4927, usercpu_time_millis: 26.059, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 25.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9319, kappa: 0.3418, kb_relative_information_score: -431.5667, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1842.1399, usercpu_time_millis: 25.054, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 25.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9254, kappa: 0.2601, kb_relative_information_score: -473.862, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9242, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.8585, scimark_benchmark: 1842.127, usercpu_time_millis: 39.984, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 39.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9215, kappa: 0.2045, kb_relative_information_score: -713.9191, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9226, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.8791, scimark_benchmark: 1737.4437, usercpu_time_millis: 26.218, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 26.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.9063, kb_relative_information_score: -5583.1874, mean_absolute_error: 0.1649, 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: 1.3899, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.9997, scimark_benchmark: 1732.8983, usercpu_time_millis: 19.971, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 19.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -19324.0716, mean_absolute_error: 0.5, 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: 4.2155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0558, scimark_benchmark: 1786.8714, usercpu_time_millis: 4.161, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 4.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9206, kappa: 0.1853, kb_relative_information_score: -655.1291, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9255, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8669, scimark_benchmark: 1754.836, usercpu_time_millis: 14.038, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 14.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.9294, kappa: 0.3379, kb_relative_information_score: -363.8557, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9254, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1842.1882, usercpu_time_millis: 30.264, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 30.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9211, kappa: 0.1929, kb_relative_information_score: -637.1727, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9252, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8706, scimark_benchmark: 1830.1732, usercpu_time_millis: 24.908, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 24.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -19324.0716, mean_absolute_error: 0.5, 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: 4.2155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0558, scimark_benchmark: 1733.7613, usercpu_time_millis: 10.012, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 9.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.9063, kb_relative_information_score: -1256.3354, mean_absolute_error: 0.1076, 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: 0.9074, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9318, scimark_benchmark: 1753.5945, usercpu_time_millis: 24.068, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 24.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4041, f_measure: 0.9063, kb_relative_information_score: -69.3512, mean_absolute_error: 0.1187, 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: 1.0005, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2433, root_relative_squared_error: 1.0004, scimark_benchmark: 1886.5309, usercpu_time_millis: 12.37, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 12.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9289, kappa: 0.3033, kb_relative_information_score: -441.4353, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9278, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545, scimark_benchmark: 1840.1974, usercpu_time_millis: 76.103, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 76.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9301, kappa: 0.3108, kb_relative_information_score: -27.6397, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8461, scimark_benchmark: 1857.5664, usercpu_time_millis: 17.57, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 17.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9266, kappa: 0.2785, kb_relative_information_score: -511.1521, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8671, scimark_benchmark: 1836.7415, usercpu_time_millis: 32.316, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 32.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.9063, kb_relative_information_score: -1847.5385, mean_absolute_error: 0.133, 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: 1.1213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9509, scimark_benchmark: 1768.4033, usercpu_time_millis: 53.122, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 53.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.9063, kb_relative_information_score: -1585.6122, mean_absolute_error: 0.1295, 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: 1.0916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9573, scimark_benchmark: 1719.3895, usercpu_time_millis: 47.792, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 47.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kb_relative_information_score: -8971.1329, mean_absolute_error: 0.2077, 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: 1.7514, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2639, root_relative_squared_error: 1.0849, scimark_benchmark: 1743.9633, usercpu_time_millis: 51.527, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 51.451,

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