Task
Supervised Classification on sleep

Supervised Classification on sleep

Task 4310 Supervised Classification sleep 192 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

192 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6732, kappa: 0.3429, kb_relative_information_score: 103.1106, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6736, predictive_accuracy: 0.6742, prior_entropy: 0.9972, recall: 0.6742, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.5972, kappa: 0.1939, kb_relative_information_score: 121.726, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.5991, predictive_accuracy: 0.5968, prior_entropy: 0.9972, recall: 0.5968, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5954, root_relative_squared_error: 1.1933, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.7406, kappa: 0.4796, kb_relative_information_score: 198.5498, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7472, predictive_accuracy: 0.7435, prior_entropy: 0.9972, recall: 0.7435, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8953, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.7406, kappa: 0.4796, kb_relative_information_score: 198.5498, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7472, predictive_accuracy: 0.7435, prior_entropy: 0.9972, recall: 0.7435, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8953, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.7184, kappa: 0.436, kb_relative_information_score: 112.5098, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7273, predictive_accuracy: 0.7226, prior_entropy: 0.9972, recall: 0.7226, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9192, scimark_benchmark: 1329.4762, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.5691, kappa: 0.1345, kb_relative_information_score: 70.6398, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.5702, predictive_accuracy: 0.5726, prior_entropy: 0.9972, recall: 0.5726, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2042, scimark_benchmark: 1350.907, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6507, kappa: 0.2977, kb_relative_information_score: 132.4649, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6508, predictive_accuracy: 0.6516, prior_entropy: 0.9972, recall: 0.6516, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7375, kappa: 0.4733, kb_relative_information_score: 182.2851, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7435, predictive_accuracy: 0.7403, prior_entropy: 0.9972, recall: 0.7403, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.921, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.7406, kappa: 0.4796, kb_relative_information_score: 198.5498, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7472, predictive_accuracy: 0.7435, prior_entropy: 0.9972, recall: 0.7435, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8953, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6507, kappa: 0.2977, kb_relative_information_score: 132.4649, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6508, predictive_accuracy: 0.6516, prior_entropy: 0.9972, recall: 0.6516, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6645, kappa: 0.3262, kb_relative_information_score: 152.4495, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6645, predictive_accuracy: 0.6645, prior_entropy: 0.9972, recall: 0.6645, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0561, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7136, kappa: 0.4263, kb_relative_information_score: 123.1396, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.722, predictive_accuracy: 0.7177, prior_entropy: 0.9972, recall: 0.7177, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9277, scimark_benchmark: 892.0148, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.7068, kappa: 0.4129, kb_relative_information_score: 108.731, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7157, predictive_accuracy: 0.7113, prior_entropy: 0.9972, recall: 0.7113, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9239, scimark_benchmark: 1347.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 143.7037, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7212, predictive_accuracy: 0.721, prior_entropy: 0.9972, recall: 0.721, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9003, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7038, kappa: 0.4052, kb_relative_information_score: 173.6404, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7077, predictive_accuracy: 0.7065, prior_entropy: 0.9972, recall: 0.7065, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9544, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7068, kappa: 0.4129, kb_relative_information_score: 122.6517, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7157, predictive_accuracy: 0.7113, prior_entropy: 0.9972, recall: 0.7113, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9282, scimark_benchmark: 1323.7742, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.7375, kappa: 0.4733, kb_relative_information_score: 182.2851, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7435, predictive_accuracy: 0.7403, prior_entropy: 0.9972, recall: 0.7403, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.921, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7652, kappa: 0.528, kb_relative_information_score: 199.5232, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7665, predictive_accuracy: 0.7661, prior_entropy: 0.9972, recall: 0.7661, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8936, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6507, kappa: 0.2977, kb_relative_information_score: 132.4649, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6508, predictive_accuracy: 0.6516, prior_entropy: 0.9972, recall: 0.6516, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7166, kappa: 0.4326, kb_relative_information_score: 112.6689, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7259, predictive_accuracy: 0.721, prior_entropy: 0.9972, recall: 0.721, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9198, scimark_benchmark: 1320.9366, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6578, kappa: 0.3124, kb_relative_information_score: 148.2598, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6577, predictive_accuracy: 0.6581, prior_entropy: 0.9972, recall: 0.6581, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0393, scimark_benchmark: 1359.7347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6507, kappa: 0.2977, kb_relative_information_score: 132.4649, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6508, predictive_accuracy: 0.6516, prior_entropy: 0.9972, recall: 0.6516, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.709, kappa: 0.4185, kb_relative_information_score: 276.556, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7211, predictive_accuracy: 0.7145, prior_entropy: 0.9972, recall: 0.7145, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9827, scimark_benchmark: 789.1062, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.7093, kappa: 0.4188, kb_relative_information_score: 148.8989, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7205, predictive_accuracy: 0.7145, prior_entropy: 0.9972, recall: 0.7145, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9495, scimark_benchmark: 1346.2133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6507, kappa: 0.2977, kb_relative_information_score: 132.4649, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6508, predictive_accuracy: 0.6516, prior_entropy: 0.9972, recall: 0.6516, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6149, kappa: 0.2279, kb_relative_information_score: 134.8316, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6158, predictive_accuracy: 0.6145, prior_entropy: 0.9972, recall: 0.6145, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1339, scimark_benchmark: 1327.3602, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6454, kappa: 0.2885, kb_relative_information_score: 144.3847, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6459, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0765, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6129, kappa: 0.2273, kb_relative_information_score: 147.2272, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6218, predictive_accuracy: 0.621, prior_entropy: 0.9972, recall: 0.621, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6157, root_relative_squared_error: 1.2339, scimark_benchmark: 1311.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.7127, kappa: 0.4227, kb_relative_information_score: 176.0887, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.715, predictive_accuracy: 0.7145, prior_entropy: 0.9972, recall: 0.7145, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9358, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6951, kappa: 0.3874, kb_relative_information_score: 239.7478, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.695, predictive_accuracy: 0.6952, prior_entropy: 0.9972, recall: 0.6952, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5521, root_relative_squared_error: 1.1065, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6865, kappa: 0.3697, kb_relative_information_score: 229.6912, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6866, predictive_accuracy: 0.6871, prior_entropy: 0.9972, recall: 0.6871, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1211, scimark_benchmark: 1346.3935, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6677, kappa: 0.3331, kb_relative_information_score: 140.6144, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6714, predictive_accuracy: 0.671, prior_entropy: 0.9972, recall: 0.671, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9727, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7348, kappa: 0.4668, kb_relative_information_score: 181.6626, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7353, predictive_accuracy: 0.7355, prior_entropy: 0.9972, recall: 0.7355, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8939, scimark_benchmark: 996.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6836, kappa: 0.3686, kb_relative_information_score: 144.6725, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6965, predictive_accuracy: 0.6903, prior_entropy: 0.9972, recall: 0.6903, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9579, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6507, kappa: 0.2977, kb_relative_information_score: 131.7639, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6508, predictive_accuracy: 0.6516, prior_entropy: 0.9972, recall: 0.6516, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9671, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.7236, kappa: 0.4462, kb_relative_information_score: 112.6387, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7317, predictive_accuracy: 0.7274, prior_entropy: 0.9972, recall: 0.7274, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9193, scimark_benchmark: 891.9953, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6786, kappa: 0.3539, kb_relative_information_score: 152.7184, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6785, predictive_accuracy: 0.679, prior_entropy: 0.9972, recall: 0.679, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0075, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.3616, kappa: -0.0354, kb_relative_information_score: 14.4802, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.2788, predictive_accuracy: 0.5145, prior_entropy: 0.9972, recall: 0.5145, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.3964, scimark_benchmark: 1330.8781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.739, kappa: 0.4768, kb_relative_information_score: 204.9356, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.74, predictive_accuracy: 0.7387, prior_entropy: 0.9972, recall: 0.7387, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9318, scimark_benchmark: 1281.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.739, kappa: 0.4768, kb_relative_information_score: 204.9356, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.74, predictive_accuracy: 0.7387, prior_entropy: 0.9972, recall: 0.7387, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9318, scimark_benchmark: 1334.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.7256, kappa: 0.4498, kb_relative_information_score: 177.5991, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7327, predictive_accuracy: 0.729, prior_entropy: 0.9972, recall: 0.729, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8937, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6034, kappa: 0.2486, kb_relative_information_score: 178.7035, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6796, predictive_accuracy: 0.6387, prior_entropy: 0.9972, recall: 0.6387, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5739, root_relative_squared_error: 1.1502, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.6012, kappa: 0.2451, kb_relative_information_score: 181.1531, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6781, predictive_accuracy: 0.6371, prior_entropy: 0.9972, recall: 0.6371, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.1491, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.6962, kappa: 0.3909, kb_relative_information_score: 245.7817, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7025, predictive_accuracy: 0.7, prior_entropy: 0.9972, recall: 0.7, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0977, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.7072, kappa: 0.4151, kb_relative_information_score: 144.3226, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7196, predictive_accuracy: 0.7129, prior_entropy: 0.9972, recall: 0.7129, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.963, scimark_benchmark: 1276.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6951, kappa: 0.3874, kb_relative_information_score: 233.6409, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.695, predictive_accuracy: 0.6952, prior_entropy: 0.9972, recall: 0.6952, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.0878, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6024, kappa: 0.235, kb_relative_information_score: 52.2657, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.655, predictive_accuracy: 0.6306, prior_entropy: 0.9972, recall: 0.6306, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9685, scimark_benchmark: 1419.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, f_measure: 0.3698, kb_relative_information_score: -1.1551, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0013, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.4741, kappa: 0.1426, kb_relative_information_score: 5.6426, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6958, predictive_accuracy: 0.55, prior_entropy: 0.9972, recall: 0.55, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.496, root_relative_squared_error: 0.994, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6645, kappa: 0.3262, kb_relative_information_score: 152.4495, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6645, predictive_accuracy: 0.6645, prior_entropy: 0.9972, recall: 0.6645, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0561, scimark_benchmark: 1321.7236, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.705, kappa: 0.4095, kb_relative_information_score: 131.1125, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7142, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.937, scimark_benchmark: 1310.9044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.7079, kappa: 0.4131, kb_relative_information_score: 201.8198, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7078, predictive_accuracy: 0.7081, prior_entropy: 0.9972, recall: 0.7081, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.005, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6012, kappa: 0.2451, kb_relative_information_score: 177.7594, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6781, predictive_accuracy: 0.6371, prior_entropy: 0.9972, recall: 0.6371, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1548, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6645, kappa: 0.3262, kb_relative_information_score: 153.2527, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6645, predictive_accuracy: 0.6645, prior_entropy: 0.9972, recall: 0.6645, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0557, scimark_benchmark: 860.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7048, kappa: 0.4093, kb_relative_information_score: 114.6078, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7147, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.92, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7133, kappa: 0.426, kb_relative_information_score: 123.2189, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7225, predictive_accuracy: 0.7177, prior_entropy: 0.9972, recall: 0.7177, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9314, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.7232, kappa: 0.4457, kb_relative_information_score: 127.1417, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7327, predictive_accuracy: 0.7274, prior_entropy: 0.9972, recall: 0.7274, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.931, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7027, kappa: 0.404, kb_relative_information_score: 165.3268, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7092, predictive_accuracy: 0.7065, prior_entropy: 0.9972, recall: 0.7065, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9254, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.6385, kappa: 0.2738, kb_relative_information_score: 149.3425, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6384, predictive_accuracy: 0.6387, prior_entropy: 0.9972, recall: 0.6387, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1473, scimark_benchmark: 909.1698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.6658, kappa: 0.3285, kb_relative_information_score: 157.5837, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6657, predictive_accuracy: 0.6661, prior_entropy: 0.9972, recall: 0.6661, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.0881, scimark_benchmark: 939.5205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6788, kappa: 0.3547, kb_relative_information_score: 169.0789, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6787, predictive_accuracy: 0.679, prior_entropy: 0.9972, recall: 0.679, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.0317, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7041, kappa: 0.4051, kb_relative_information_score: 174.523, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7044, predictive_accuracy: 0.7048, prior_entropy: 0.9972, recall: 0.7048, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.494, root_relative_squared_error: 0.99, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.7195, kappa: 0.4362, kb_relative_information_score: 176.4119, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7212, predictive_accuracy: 0.721, prior_entropy: 0.9972, recall: 0.721, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9574, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6925, kappa: 0.3817, kb_relative_information_score: 140.0201, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6931, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9562, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.6836, kappa: 0.3643, kb_relative_information_score: 194.5995, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6835, predictive_accuracy: 0.6839, prior_entropy: 0.9972, recall: 0.6839, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.931, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6905, kappa: 0.3778, kb_relative_information_score: 235.7251, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6917, predictive_accuracy: 0.6919, prior_entropy: 0.9972, recall: 0.6919, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1124, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 36.6047, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.6668, kappa: 0.3374, kb_relative_information_score: 215.612, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6837, predictive_accuracy: 0.6758, prior_entropy: 0.9972, recall: 0.6758, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1411, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6836, kappa: 0.3686, kb_relative_information_score: 137.3581, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6965, predictive_accuracy: 0.6903, prior_entropy: 0.9972, recall: 0.6903, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9402, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6129, kappa: 0.2273, kb_relative_information_score: 147.2272, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6218, predictive_accuracy: 0.621, prior_entropy: 0.9972, recall: 0.621, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6157, root_relative_squared_error: 1.2339, scimark_benchmark: 938.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7053, kappa: 0.4084, kb_relative_information_score: 164.0166, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7095, predictive_accuracy: 0.7081, prior_entropy: 0.9972, recall: 0.7081, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8846, scimark_benchmark: 938.0414, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6732, kappa: 0.3429, kb_relative_information_score: 103.1106, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6736, predictive_accuracy: 0.6742, prior_entropy: 0.9972, recall: 0.6742, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818, scimark_benchmark: 1327.8711, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.6052, kappa: 0.2108, kb_relative_information_score: 115.0915, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6079, predictive_accuracy: 0.6048, prior_entropy: 0.9972, recall: 0.6048, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.2371, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.6531, kappa: 0.3068, kb_relative_information_score: 116.4235, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6626, predictive_accuracy: 0.6597, prior_entropy: 0.9972, recall: 0.6597, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9693, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.7114, kappa: 0.421, kb_relative_information_score: 173.3182, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.7168, predictive_accuracy: 0.7145, prior_entropy: 0.9972, recall: 0.7145, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9166, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.6551, kappa: 0.3067, kb_relative_information_score: 191.4762, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6557, predictive_accuracy: 0.6565, prior_entropy: 0.9972, recall: 0.6565, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5861, root_relative_squared_error: 1.1747, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3867, f_measure: 0.3298, kappa: -0.2185, kb_relative_information_score: -164.5271, mean_absolute_error: 0.629, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.3461, predictive_accuracy: 0.371, prior_entropy: 0.9972, recall: 0.371, relative_absolute_error: 1.2632, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.7931, root_relative_squared_error: 1.5895, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.6525, kappa: 0.3029, kb_relative_information_score: 149.0886, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6569, predictive_accuracy: 0.6565, prior_entropy: 0.9972, recall: 0.6565, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.02, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.669, kappa: 0.3347, kb_relative_information_score: 207.5667, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6689, predictive_accuracy: 0.6694, prior_entropy: 0.9972, recall: 0.6694, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.575, root_relative_squared_error: 1.1524, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6751, kappa: 0.3469, kb_relative_information_score: 215.612, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6752, predictive_accuracy: 0.6758, prior_entropy: 0.9972, recall: 0.6758, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1411, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, f_measure: 0.3698, kb_relative_information_score: -1.1551, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0013, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6663, kappa: 0.3314, kb_relative_information_score: 157.7464, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6728, predictive_accuracy: 0.671, prior_entropy: 0.9972, recall: 0.671, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9683, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, build_cpu_time: 0.3208, build_memory: 1188220071.3807, f_measure: 0.6514, kappa: 0.2993, kb_relative_information_score: 188.3802, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6525, predictive_accuracy: 0.6532, prior_entropy: 0.9972, recall: 0.6532, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5867, root_relative_squared_error: 1.1758, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, build_cpu_time: 0.1261, build_memory: 1151693906.5161, f_measure: 0.6533, kappa: 0.303, kb_relative_information_score: 189.5964, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.654, predictive_accuracy: 0.6548, prior_entropy: 0.9972, recall: 0.6548, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.1735, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, build_cpu_time: 0.0855, build_memory: 932142912.0645, f_measure: 0.6657, kappa: 0.3282, kb_relative_information_score: 205.0697, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6673, predictive_accuracy: 0.6677, prior_entropy: 0.9972, recall: 0.6677, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.1491, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, build_cpu_time: 0.0504, build_memory: 656037149.7935, f_measure: 0.6678, kappa: 0.3322, kb_relative_information_score: 205.6712, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6688, predictive_accuracy: 0.6694, prior_entropy: 0.9972, recall: 0.6694, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1373, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, build_cpu_time: 0.0174, build_memory: 1271211464.9548, f_measure: 0.673, kappa: 0.3426, kb_relative_information_score: 213.7781, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6736, predictive_accuracy: 0.6742, prior_entropy: 0.9972, recall: 0.6742, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.12, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, build_cpu_time: 0.1638, build_memory: 196625382.671, f_measure: 0.7191, kappa: 0.4367, kb_relative_information_score: 140.3904, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.726, predictive_accuracy: 0.7226, prior_entropy: 0.9972, recall: 0.7226, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.462, root_relative_squared_error: 0.926, scimark_benchmark: 730.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, build_cpu_time: 0.0541, build_memory: 1136345876.2452, f_measure: 0.6923, kappa: 0.3822, kb_relative_information_score: 133.8987, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6962, predictive_accuracy: 0.6952, prior_entropy: 0.9972, recall: 0.6952, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9417, scimark_benchmark: 946.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, build_cpu_time: 0.0293, build_memory: 209947103.7419, f_measure: 0.6911, kappa: 0.3796, kb_relative_information_score: 134.2532, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6941, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9418, scimark_benchmark: 929.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, build_cpu_time: 0.0261, build_memory: 1134967875.2774, f_measure: 0.6955, kappa: 0.3888, kb_relative_information_score: 130.8688, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6996, predictive_accuracy: 0.6984, prior_entropy: 0.9972, recall: 0.6984, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9508, scimark_benchmark: 927.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, build_cpu_time: 0.0084, build_memory: 1934438713.0323, f_measure: 0.6911, kappa: 0.3796, kb_relative_information_score: 134.9196, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.498, number_of_instances: 620, precision: 0.6941, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9513, scimark_benchmark: 944.9002,

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