Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9284, kappa: 0.8214, kb_relative_information_score: 24330.62, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9299, prior_entropy: 0.863, recall: 0.9299, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5022, scimark_benchmark: 1368.2211, usercpu_time_millis: 1182.472, usercpu_time_millis_testing: 12.439, usercpu_time_millis_training: 1170.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9172, kappa: 0.7918, kb_relative_information_score: 24206.5762, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9202, prior_entropy: 0.863, recall: 0.9202, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5192, scimark_benchmark: 1369.7138, usercpu_time_millis: 1547.095, usercpu_time_millis_testing: 6.607, usercpu_time_millis_training: 1540.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 29006.2533, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1375.6181, usercpu_time_millis: 4634.214, usercpu_time_millis_testing: 11.937, usercpu_time_millis_training: 4622.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9606, kappa: 0.9031, kb_relative_information_score: 28648.0155, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3907, scimark_benchmark: 1362.8675, usercpu_time_millis: 576.167, usercpu_time_millis_testing: 2.336, usercpu_time_millis_training: 573.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9705, kappa: 0.9277, kb_relative_information_score: 29939.3385, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9706, prior_entropy: 0.863, recall: 0.9706, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.334, scimark_benchmark: 1367.5488, usercpu_time_millis: 891.288, usercpu_time_millis_testing: 15.068, usercpu_time_millis_training: 876.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 29109.7437, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1372.4587, usercpu_time_millis: 948.743, usercpu_time_millis_testing: 3.532, usercpu_time_millis_training: 945.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9428, kappa: 0.8579, kb_relative_information_score: 23071.7804, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037, scimark_benchmark: 1369.3871, usercpu_time_millis: 399.41, usercpu_time_millis_testing: 17.894, usercpu_time_millis_training: 381.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9519, kappa: 0.882, kb_relative_information_score: 27726.3585, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4257, scimark_benchmark: 1368.8386, usercpu_time_millis: 1091.778, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 1089.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27667.9917, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4156, scimark_benchmark: 1370.1916, usercpu_time_millis: 1570.218, usercpu_time_millis_testing: 23.041, usercpu_time_millis_training: 1547.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9545, kappa: 0.8885, kb_relative_information_score: 27649.1865, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4187, scimark_benchmark: 1365.7726, usercpu_time_millis: 1610.88, usercpu_time_millis_testing: 9.107, usercpu_time_millis_training: 1601.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28518.5102, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3946, scimark_benchmark: 1363.8879, usercpu_time_millis: 2930.918, usercpu_time_millis_testing: 8.989, usercpu_time_millis_training: 2921.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.931, kappa: 0.8281, kb_relative_information_score: 23949.0354, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5038, scimark_benchmark: 1364.4749, usercpu_time_millis: 252.281, usercpu_time_millis_testing: 11.644, usercpu_time_millis_training: 240.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8662, kappa: 0.6762, kb_relative_information_score: 17727.5846, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8687, predictive_accuracy: 0.8647, prior_entropy: 0.863, recall: 0.8647, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6746, scimark_benchmark: 1367.5248, usercpu_time_millis: 1553.096, usercpu_time_millis_testing: 4.403, usercpu_time_millis_training: 1548.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9216, kappa: 0.8034, kb_relative_information_score: 24540.2482, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5077, scimark_benchmark: 1368.0473, usercpu_time_millis: 1085.715, usercpu_time_millis_testing: 9.276, usercpu_time_millis_training: 1076.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9343, kappa: 0.8372, kb_relative_information_score: 25803.2775, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4863, scimark_benchmark: 1368.9127, usercpu_time_millis: 1323.734, usercpu_time_millis_testing: 3.024, usercpu_time_millis_training: 1320.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9375, kappa: 0.8453, kb_relative_information_score: 25805.9978, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771, scimark_benchmark: 1367.181, usercpu_time_millis: 523.729, usercpu_time_millis_testing: 2.865, usercpu_time_millis_training: 520.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8577, kappa: 0.6515, kb_relative_information_score: 15525.8312, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8578, predictive_accuracy: 0.8577, prior_entropy: 0.863, recall: 0.8577, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7385, scimark_benchmark: 1369.0539, usercpu_time_millis: 84.728, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 83.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9534, kappa: 0.8857, kb_relative_information_score: 27572.1556, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1368.3997, usercpu_time_millis: 683.158, usercpu_time_millis_testing: 3.419, usercpu_time_millis_training: 679.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9195, kappa: 0.798, kb_relative_information_score: 21099.4619, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5568, scimark_benchmark: 1366.0866, usercpu_time_millis: 695.687, usercpu_time_millis_testing: 11.419, usercpu_time_millis_training: 684.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9475, kappa: 0.8697, kb_relative_information_score: 23597.922, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.486, scimark_benchmark: 1367.6831, usercpu_time_millis: 321.095, usercpu_time_millis_testing: 15.229, usercpu_time_millis_training: 305.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 28919.5713, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3683, scimark_benchmark: 1372.5485, usercpu_time_millis: 1004.931, usercpu_time_millis_testing: 20.474, usercpu_time_millis_training: 984.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9449, kappa: 0.8643, kb_relative_information_score: 26558.6177, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.457, scimark_benchmark: 1374.6649, usercpu_time_millis: 814.35, usercpu_time_millis_testing: 4.728, usercpu_time_millis_training: 809.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9466, kappa: 0.8678, kb_relative_information_score: 25734.5483, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4536, scimark_benchmark: 1366.574, usercpu_time_millis: 324.354, usercpu_time_millis_testing: 12.833, usercpu_time_millis_training: 311.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29110.778, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3678, scimark_benchmark: 1372.1395, usercpu_time_millis: 557.688, usercpu_time_millis_testing: 5.83, usercpu_time_millis_training: 551.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.3552, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1371.2478, usercpu_time_millis: 30.839, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 28.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9168, kappa: 0.7905, kb_relative_information_score: 23975.9387, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5197, scimark_benchmark: 1368.8339, usercpu_time_millis: 403.618, usercpu_time_millis_testing: 5.466, usercpu_time_millis_training: 398.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9432, kappa: 0.8591, kb_relative_information_score: 23219.2847, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5004, scimark_benchmark: 1375.2507, usercpu_time_millis: 360.508, usercpu_time_millis_testing: 16.212, usercpu_time_millis_training: 344.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8662, kappa: 0.6741, kb_relative_information_score: 16954.365, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8672, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6875, scimark_benchmark: 1373.4291, usercpu_time_millis: 18.532, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 18.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29954.5124, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1368.3264, usercpu_time_millis: 9734.172, usercpu_time_millis_testing: 18.958, usercpu_time_millis_training: 9715.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9034, kb_relative_information_score: 28936.3824, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1752.6179, usercpu_time_millis: 3874.484, usercpu_time_millis_testing: 6.847, usercpu_time_millis_training: 3867.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29209.6884, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3698, scimark_benchmark: 1368.38, usercpu_time_millis: 5762.746, usercpu_time_millis_testing: 17.523, usercpu_time_millis_training: 5745.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29942.2721, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3467, scimark_benchmark: 1370.351, usercpu_time_millis: 8337.802, usercpu_time_millis_testing: 19.376, usercpu_time_millis_training: 8318.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9168, kappa: 0.7906, kb_relative_information_score: 24455.4709, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5194, scimark_benchmark: 1774.4958, usercpu_time_millis: 2153.812, usercpu_time_millis_testing: 10.708, usercpu_time_millis_training: 2143.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29388.2289, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3634, scimark_benchmark: 1368.3175, usercpu_time_millis: 4106.385, usercpu_time_millis_testing: 17.454, usercpu_time_millis_training: 4088.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9559, kappa: 0.8919, kb_relative_information_score: 28209.7314, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4088, scimark_benchmark: 2147.0192, usercpu_time_millis: 1590.383, usercpu_time_millis_testing: 4.779, usercpu_time_millis_training: 1585.604,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29711.7426, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1368.2, usercpu_time_millis: 261.837, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 260.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9398, kappa: 0.8511, kb_relative_information_score: 25835.3543, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9399, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1367.799, usercpu_time_millis: 428.33, usercpu_time_millis_testing: 3.794, usercpu_time_millis_training: 424.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.959, kappa: 0.8995, kb_relative_information_score: 28399.5471, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1295.1113, usercpu_time_millis: 2444.518, usercpu_time_millis_testing: 13.302, usercpu_time_millis_training: 2431.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9583, kappa: 0.8977, kb_relative_information_score: 28399.4798, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1749.584, usercpu_time_millis: 2044.411, usercpu_time_millis_testing: 12.922, usercpu_time_millis_training: 2031.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.9498, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1371.4644, usercpu_time_millis: 20.373, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 19.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.94, kappa: 0.8515, kb_relative_information_score: 25411.2049, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4719, scimark_benchmark: 1368.5376, usercpu_time_millis: 725.814, usercpu_time_millis_testing: 16.206, usercpu_time_millis_training: 709.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 29218.31, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3812, scimark_benchmark: 1366.3508, usercpu_time_millis: 8308.954, usercpu_time_millis_testing: 14.022, usercpu_time_millis_training: 8294.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8669, kappa: 0.6771, kb_relative_information_score: 17549.9569, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8688, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6825, scimark_benchmark: 1368.0279, usercpu_time_millis: 514.959, usercpu_time_millis_testing: 4.355, usercpu_time_millis_training: 510.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9535, kappa: 0.8861, kb_relative_information_score: 27596.9294, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4221, scimark_benchmark: 1778.3505, usercpu_time_millis: 1734.207, usercpu_time_millis_testing: 15.393, usercpu_time_millis_training: 1718.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29700.6322, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552, scimark_benchmark: 1373.2028, usercpu_time_millis: 1692.44, usercpu_time_millis_testing: 3.297, usercpu_time_millis_training: 1689.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28942.6923, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801, scimark_benchmark: 1822.5924, usercpu_time_millis: 1329.658, usercpu_time_millis_testing: 6.579, usercpu_time_millis_training: 1323.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 28573.7623, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3875, scimark_benchmark: 1370.17, usercpu_time_millis: 1491.745, usercpu_time_millis_testing: 14.965, usercpu_time_millis_training: 1476.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8636, kappa: 0.67, kb_relative_information_score: 17416.9626, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8661, predictive_accuracy: 0.8621, prior_entropy: 0.863, recall: 0.8621, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6886, scimark_benchmark: 1833.4335, usercpu_time_millis: 1214.431, usercpu_time_millis_testing: 6.479, usercpu_time_millis_training: 1207.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9516, kappa: 0.8813, kb_relative_information_score: 27502.986, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4296, scimark_benchmark: 1374.9196, usercpu_time_millis: 2628.59, usercpu_time_millis_testing: 7.969, usercpu_time_millis_training: 2620.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9327, kappa: 0.833, kb_relative_information_score: 25262.458, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9334, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4993, scimark_benchmark: 1772.2599, usercpu_time_millis: 992.085, usercpu_time_millis_testing: 4.679, usercpu_time_millis_training: 987.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 28420.1144, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3921, scimark_benchmark: 1851.8554, usercpu_time_millis: 911.369, usercpu_time_millis_testing: 15.292, usercpu_time_millis_training: 896.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9445, kappa: 0.8632, kb_relative_information_score: 26536.2137, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4527, scimark_benchmark: 1766.9666, usercpu_time_millis: 762.974, usercpu_time_millis_testing: 8.872, usercpu_time_millis_training: 754.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.918, kappa: 0.7938, kb_relative_information_score: 23666.4627, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5197, scimark_benchmark: 1776.5272, usercpu_time_millis: 675.216, usercpu_time_millis_testing: 9.142, usercpu_time_millis_training: 666.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9527, kappa: 0.884, kb_relative_information_score: 27193.5127, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, scimark_benchmark: 1764.7086, usercpu_time_millis: 532.933, usercpu_time_millis_testing: 7.268, usercpu_time_millis_training: 525.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9284, kappa: 0.8213, kb_relative_information_score: 25026.0343, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5028, scimark_benchmark: 1821.5292, usercpu_time_millis: 529.172, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 526.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9697, kappa: 0.9256, kb_relative_information_score: 30042.7336, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3394, scimark_benchmark: 1832.6283, usercpu_time_millis: 488.758, usercpu_time_millis_testing: 4.995, usercpu_time_millis_training: 483.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8744, kappa: 0.6932, kb_relative_information_score: 17770.5503, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8749, predictive_accuracy: 0.8739, prior_entropy: 0.863, recall: 0.8739, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6492, scimark_benchmark: 1814.1592, usercpu_time_millis: 146.891, usercpu_time_millis_testing: 3.254, usercpu_time_millis_training: 143.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8593, kappa: 0.6536, kb_relative_information_score: 14771.5648, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8588, predictive_accuracy: 0.8599, prior_entropy: 0.863, recall: 0.8599, relative_absolute_error: 0.6053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.325, root_relative_squared_error: 0.7196, scimark_benchmark: 1819.3326, usercpu_time_millis: 23.462, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 22.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.1487, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1815.9062, usercpu_time_millis: 13.928, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 13.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9633, kappa: 0.9096, kb_relative_information_score: 28038.2385, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3828, scimark_benchmark: 1369.6392, usercpu_time_millis: 711.116, usercpu_time_millis_testing: 24.047, usercpu_time_millis_training: 687.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 30223.5252, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347, scimark_benchmark: 1451.8896, usercpu_time_millis: 1013.465, usercpu_time_millis_testing: 3.17, usercpu_time_millis_training: 1010.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 29189.8697, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3717, scimark_benchmark: 1370.8888, usercpu_time_millis: 9497.046, usercpu_time_millis_testing: 24.264, usercpu_time_millis_training: 9472.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9075, kappa: 0.7707, kb_relative_information_score: 21961.6384, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9075, predictive_accuracy: 0.9087, prior_entropy: 0.863, recall: 0.9087, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5759, scimark_benchmark: 1371.9657, usercpu_time_millis: 1367.632, usercpu_time_millis_testing: 5.862, usercpu_time_millis_training: 1361.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9556, kappa: 0.8911, kb_relative_information_score: 28078.2127, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.4113, scimark_benchmark: 1369.9951, usercpu_time_millis: 4803.867, usercpu_time_millis_testing: 13.325, usercpu_time_millis_training: 4790.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9644, kappa: 0.9128, kb_relative_information_score: 30075.8878, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1817.7052, usercpu_time_millis: 75.456, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 74.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 17823.3827, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8715, predictive_accuracy: 0.8691, prior_entropy: 0.863, recall: 0.8691, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6678, scimark_benchmark: 1366.6087, usercpu_time_millis: 3038.315, usercpu_time_millis_testing: 10.813, usercpu_time_millis_training: 3027.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9161, kappa: 0.7889, kb_relative_information_score: 24519.0852, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5229, scimark_benchmark: 1361.1567, usercpu_time_millis: 1218.76, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 1215.071,

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