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: 0.991, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 29935.1225, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3756, scimark_benchmark: 1311.0558, usercpu_time_millis: 15593.972, usercpu_time_millis_testing: 33.721, usercpu_time_millis_training: 15560.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9575, kappa: 0.8956, kb_relative_information_score: 27993.8592, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4037, scimark_benchmark: 1314.5053, usercpu_time_millis: 1630.007, usercpu_time_millis_testing: 62.854, usercpu_time_millis_training: 1567.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29367.052, mean_absolute_error: 0.064, 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: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3665, scimark_benchmark: 1287.6613, usercpu_time_millis: 8835.086, usercpu_time_millis_testing: 34.744, usercpu_time_millis_training: 8800.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9612, kappa: 0.9045, kb_relative_information_score: 28279.9015, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3878, scimark_benchmark: 1314.8918, usercpu_time_millis: 1459.126, usercpu_time_millis_testing: 61.525, usercpu_time_millis_training: 1397.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9286, kappa: 0.8207, kb_relative_information_score: 19025.2135, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5848, scimark_benchmark: 1324.1503, usercpu_time_millis: 397.699, usercpu_time_millis_testing: 29.097, usercpu_time_millis_training: 368.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29486.1963, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1342.4143, usercpu_time_millis: 15502.414, usercpu_time_millis_testing: 65.634, usercpu_time_millis_training: 15436.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9647, kappa: 0.9131, kb_relative_information_score: 28320.6413, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744, scimark_benchmark: 1331.6478, usercpu_time_millis: 1669.084, usercpu_time_millis_testing: 81.22, usercpu_time_millis_training: 1587.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29625.5426, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579, scimark_benchmark: 1282.3557, usercpu_time_millis: 16229.52, usercpu_time_millis_testing: 80.179, usercpu_time_millis_training: 16149.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 29041.3791, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.376, scimark_benchmark: 1344.6068, usercpu_time_millis: 1024.688, usercpu_time_millis_testing: 10.331, usercpu_time_millis_training: 1014.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29630.3094, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3596, scimark_benchmark: 1333.8126, usercpu_time_millis: 5747.162, usercpu_time_millis_testing: 21.087, usercpu_time_millis_training: 5726.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28477.0495, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1349.815, usercpu_time_millis: 4154.319, usercpu_time_millis_testing: 42.335, usercpu_time_millis_training: 4111.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9664, kappa: 0.9176, kb_relative_information_score: 29469.5529, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3618, scimark_benchmark: 1295.6227, usercpu_time_millis: 8908.005, usercpu_time_millis_testing: 36.84, usercpu_time_millis_training: 8871.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 29651.6662, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3628, scimark_benchmark: 1319.2322, usercpu_time_millis: 13722.238, usercpu_time_millis_testing: 42.716, usercpu_time_millis_training: 13679.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9664, kappa: 0.9175, kb_relative_information_score: 29599.5264, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3599, scimark_benchmark: 1304.6277, usercpu_time_millis: 12215.073, usercpu_time_millis_testing: 53.833, usercpu_time_millis_training: 12161.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29434.1225, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3628, scimark_benchmark: 1352.8504, usercpu_time_millis: 911.521, usercpu_time_millis_testing: 7.26, usercpu_time_millis_training: 904.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9645, kappa: 0.9128, kb_relative_information_score: 29193.0978, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3698, scimark_benchmark: 1343.9337, usercpu_time_millis: 4178.444, usercpu_time_millis_testing: 40.001, usercpu_time_millis_training: 4138.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9364, kappa: 0.8432, kb_relative_information_score: 24210.1176, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997, scimark_benchmark: 1309.9294, usercpu_time_millis: 18.856, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 18.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9405, kappa: 0.8537, kb_relative_information_score: 26251.8023, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4665, scimark_benchmark: 1297.9141, usercpu_time_millis: 35.037, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 34.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9415, kappa: 0.8562, kb_relative_information_score: 26449.359, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4607, scimark_benchmark: 1277.8484, usercpu_time_millis: 33.11, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 32.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9447, kappa: 0.8641, kb_relative_information_score: 27309.0746, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1305.9719, usercpu_time_millis: 53.855, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 53.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9431, kappa: 0.8601, kb_relative_information_score: 26986.6464, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4494, scimark_benchmark: 1304.019, usercpu_time_millis: 52.635, usercpu_time_millis_testing: -0.098, usercpu_time_millis_training: 52.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9379, kappa: 0.847, kb_relative_information_score: 24676.9404, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4906, scimark_benchmark: 1290.479, usercpu_time_millis: 26.131, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 25.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9416, kappa: 0.8562, kb_relative_information_score: 26517.8953, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4601, scimark_benchmark: 1288.1469, usercpu_time_millis: 34.03, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 33.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9311, kappa: 0.8298, kb_relative_information_score: 23018.9876, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9311, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5225, scimark_benchmark: 1304.5245, usercpu_time_millis: 12.695, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 12.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1294.0978, usercpu_time_millis: 10.06, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 9.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1304.2829, usercpu_time_millis: 8.286, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 7.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1303.5064, usercpu_time_millis: 8.325, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 7.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8362, kappa: 0.579, kb_relative_information_score: 11790.0516, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8717, predictive_accuracy: 0.853, prior_entropy: 0.863, recall: 0.853, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7472, scimark_benchmark: 1302.485, usercpu_time_millis: 9.999, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 9.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8963, kappa: 0.7398, kb_relative_information_score: 15995.4768, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8993, predictive_accuracy: 0.8996, prior_entropy: 0.863, recall: 0.8996, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6564, scimark_benchmark: 1299.4754, usercpu_time_millis: 9.851, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 9.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9309, kappa: 0.8292, kb_relative_information_score: 23070.0283, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9309, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.521, scimark_benchmark: 1292.9497, usercpu_time_millis: 13.117, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 12.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9383, kappa: 0.8483, kb_relative_information_score: 25290.1881, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4814, scimark_benchmark: 1278.1205, usercpu_time_millis: 23.413, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 22.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9385, kappa: 0.8488, kb_relative_information_score: 25434.7437, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4802, scimark_benchmark: 1298.9419, usercpu_time_millis: 21.597, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 21.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9271, kappa: 0.8193, kb_relative_information_score: 21784.7521, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9281, prior_entropy: 0.863, recall: 0.9281, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5424, scimark_benchmark: 1277.613, usercpu_time_millis: 11.962, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 11.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9285, kappa: 0.8228, kb_relative_information_score: 22602.7083, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9289, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5287, scimark_benchmark: 1291.184, usercpu_time_millis: 11.76, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 11.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9354, kappa: 0.8408, kb_relative_information_score: 24506.3929, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4969, scimark_benchmark: 1301.7192, usercpu_time_millis: 17.314, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 16.903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8755, kappa: 0.6828, kb_relative_information_score: 13097.2767, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8911, predictive_accuracy: 0.8836, prior_entropy: 0.863, recall: 0.8836, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7184, scimark_benchmark: 1350.0427, usercpu_time_millis: 8.032, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 7.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9222, kappa: 0.8064, kb_relative_information_score: 21030.4685, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5567, scimark_benchmark: 1354.0541, usercpu_time_millis: 8.844, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 8.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9356, kappa: 0.8412, kb_relative_information_score: 25200.6841, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487, scimark_benchmark: 1335.7045, usercpu_time_millis: 20.15, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 19.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9011, kappa: 0.7515, kb_relative_information_score: 16017.7585, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9047, predictive_accuracy: 0.9043, prior_entropy: 0.863, recall: 0.9043, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6558, scimark_benchmark: 1354.5459, usercpu_time_millis: 7.071, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 6.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1333.9193, usercpu_time_millis: 5.967, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 5.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9364, kappa: 0.8435, kb_relative_information_score: 24747.5528, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4918, scimark_benchmark: 1334.5527, usercpu_time_millis: 16.387, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 16.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9425, kappa: 0.8587, kb_relative_information_score: 26791.8708, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4544, scimark_benchmark: 1347.5097, usercpu_time_millis: 36.468, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 36.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9454, kappa: 0.8659, kb_relative_information_score: 27426.9796, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.443, scimark_benchmark: 1346.4454, usercpu_time_millis: 60.678, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 60.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9378, kappa: 0.8469, kb_relative_information_score: 25156.4752, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851, scimark_benchmark: 1331.0999, usercpu_time_millis: 20.605, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 20.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9429, kappa: 0.8596, kb_relative_information_score: 26811.5366, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525, scimark_benchmark: 1349.5088, usercpu_time_millis: 47.155, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 46.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.941, kappa: 0.8547, kb_relative_information_score: 26327.4255, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4639, scimark_benchmark: 1347.9825, usercpu_time_millis: 30.735, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 30.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9388, kappa: 0.8494, kb_relative_information_score: 25616.9215, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4767, scimark_benchmark: 1336.9704, usercpu_time_millis: 24.762, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 24.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9476, kappa: 0.8713, kb_relative_information_score: 27938.1071, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9477, prior_entropy: 0.863, recall: 0.9477, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4314, scimark_benchmark: 1348.7825, usercpu_time_millis: 126.352, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 125.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9413, kappa: 0.8558, kb_relative_information_score: 26330.8379, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4629, scimark_benchmark: 1350.0718, usercpu_time_millis: 30.574, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 30.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1321.0644, usercpu_time_millis: 5.377, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 4.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9372, kappa: 0.8454, kb_relative_information_score: 24784.6878, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4901, scimark_benchmark: 1330.4609, usercpu_time_millis: 15.715, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 15.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9223, kappa: 0.8066, kb_relative_information_score: 20236.1271, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9237, prior_entropy: 0.863, recall: 0.9237, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5707, scimark_benchmark: 1324.9474, usercpu_time_millis: 7.52, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 6.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1342.0722, usercpu_time_millis: 5.439, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 4.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1339.4449, usercpu_time_millis: 5.993, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 5.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1345.4189, usercpu_time_millis: 6.731, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 6.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1345.7488, usercpu_time_millis: 5.566, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 5.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1345.7944, usercpu_time_millis: 6.44, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 5.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1347.2943, usercpu_time_millis: 5.158, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 4.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8836, kappa: 0.7039, kb_relative_information_score: 14984.5744, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8974, predictive_accuracy: 0.8906, prior_entropy: 0.863, recall: 0.8906, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6777, scimark_benchmark: 1330.4507, usercpu_time_millis: 8.7, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 8.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1356.4789, usercpu_time_millis: 4.802, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 4.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9508, kappa: 0.879, kb_relative_information_score: 28490.6815, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248, scimark_benchmark: 1243.7163, usercpu_time_millis: 11230.885, usercpu_time_millis_testing: 103.756, usercpu_time_millis_training: 11127.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9438, kappa: 0.8619, kb_relative_information_score: 27101.3891, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.449, scimark_benchmark: 1339.0819, usercpu_time_millis: 51.688, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 51.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.945, kappa: 0.8648, kb_relative_information_score: 27356.8177, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4448, scimark_benchmark: 1311.8238, usercpu_time_millis: 62.689, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 62.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.5954, kb_relative_information_score: 2123.801, mean_absolute_error: 0.3896, 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: 0.9546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9559, scimark_benchmark: 1330.5778, usercpu_time_millis: 8.76, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 8.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1349.7339, usercpu_time_millis: 5.328, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 4.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1326.213, usercpu_time_millis: 7.474, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 6.942,

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