Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

58350 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.5691, kappa: 0.1584, kb_relative_information_score: 418.8615, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7512, predictive_accuracy: 0.6575, prior_entropy: 0.9674, recall: 0.6575, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9499, scimark_benchmark: 1837.5732, usercpu_time_millis: 98.555, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 97.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9149, kappa: 0.8209, kb_relative_information_score: 2911.4579, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9157, predictive_accuracy: 0.9155, prior_entropy: 0.9674, recall: 0.9155, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.5806, scimark_benchmark: 1843.1261, usercpu_time_millis: 47.582, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 47.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9071, kappa: 0.8046, kb_relative_information_score: 3221.3368, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9076, predictive_accuracy: 0.9076, prior_entropy: 0.9674, recall: 0.9076, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5641, scimark_benchmark: 1734.2107, usercpu_time_millis: 93.137, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 91.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9316, kappa: 0.8561, kb_relative_information_score: 3616.1697, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9322, predictive_accuracy: 0.932, prior_entropy: 0.9674, recall: 0.932, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4692, scimark_benchmark: 1858.6775, usercpu_time_millis: 53.926, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 53.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.929, kappa: 0.8506, kb_relative_information_score: 3391.5557, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5025, scimark_benchmark: 1828.1834, usercpu_time_millis: 204.878, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 204.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9335, kappa: 0.8603, kb_relative_information_score: 3697.0487, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4557, scimark_benchmark: 1757.2945, usercpu_time_millis: 41.356, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 40.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9063, kappa: 0.8025, kb_relative_information_score: 3320.5729, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9079, predictive_accuracy: 0.9072, prior_entropy: 0.9674, recall: 0.9072, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5399, scimark_benchmark: 1857.1082, usercpu_time_millis: 72.246, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 71.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.4903, kappa: 0.0421, kb_relative_information_score: 168.6886, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7061, predictive_accuracy: 0.6188, prior_entropy: 0.9674, recall: 0.6188, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9804, scimark_benchmark: 1807.0393, usercpu_time_millis: 76.275, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 75.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9235, kappa: 0.8391, kb_relative_information_score: 3402.8867, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9241, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5086, scimark_benchmark: 1799.2194, usercpu_time_millis: 35.677, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 35.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.7294, kappa: 0.4373, kb_relative_information_score: 1349.1131, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8025, predictive_accuracy: 0.7572, prior_entropy: 0.9674, recall: 0.7572, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8268, scimark_benchmark: 1759.5055, usercpu_time_millis: 106.09, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 104.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9226, kappa: 0.8373, kb_relative_information_score: 3370.463, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9232, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5173, scimark_benchmark: 1857.5664, usercpu_time_millis: 37.239, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 36.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9268, kappa: 0.8461, kb_relative_information_score: 3405.3464, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9273, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5017, scimark_benchmark: 1853.3841, usercpu_time_millis: 72.63, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 72.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8516, kappa: 0.6857, kb_relative_information_score: 2540.2717, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8641, predictive_accuracy: 0.8561, prior_entropy: 0.9674, recall: 0.8561, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6511, scimark_benchmark: 1809.2745, usercpu_time_millis: 88.806, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 87.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9251, kappa: 0.8424, kb_relative_information_score: 3421.1666, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9255, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.5024, scimark_benchmark: 1857.6392, usercpu_time_millis: 35.477, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 35.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8919, kappa: 0.7738, kb_relative_information_score: 3081.7095, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.892, predictive_accuracy: 0.8918, prior_entropy: 0.9674, recall: 0.8918, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5973, scimark_benchmark: 1846.362, usercpu_time_millis: 106.605, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 105.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9277, kappa: 0.848, kb_relative_information_score: 3490.382, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9281, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5, scimark_benchmark: 1855.0232, usercpu_time_millis: 42.068, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 41.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.867, kappa: 0.7184, kb_relative_information_score: 2654.0705, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8759, predictive_accuracy: 0.8702, prior_entropy: 0.9674, recall: 0.8702, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6306, scimark_benchmark: 1697.8593, usercpu_time_millis: 107.853, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 106.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.91, kappa: 0.8106, kb_relative_information_score: 3240.3041, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9104, predictive_accuracy: 0.9105, prior_entropy: 0.9674, recall: 0.9105, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5531, scimark_benchmark: 1851.6335, usercpu_time_millis: 58.091, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 57.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.5971, kappa: 0.2032, kb_relative_information_score: 530.0164, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7611, predictive_accuracy: 0.6729, prior_entropy: 0.9674, recall: 0.6729, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.937, scimark_benchmark: 1856.5802, usercpu_time_millis: 127.773, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 126.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7988, kappa: 0.5774, kb_relative_information_score: 2065.3138, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8545, predictive_accuracy: 0.8144, prior_entropy: 0.9674, recall: 0.8144, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7403, scimark_benchmark: 1746.7933, usercpu_time_millis: 143.643, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 141.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9167, kappa: 0.8247, kb_relative_information_score: 3321.1059, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9174, predictive_accuracy: 0.9172, prior_entropy: 0.9674, recall: 0.9172, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5304, scimark_benchmark: 1826.0014, usercpu_time_millis: 43.859, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 43.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7398, kappa: 0.4611, kb_relative_information_score: 1563.5478, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8299, predictive_accuracy: 0.7687, prior_entropy: 0.9674, recall: 0.7687, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8158, scimark_benchmark: 1827.6448, usercpu_time_millis: 153.849, usercpu_time_millis_testing: 2.426, usercpu_time_millis_training: 151.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6729, kappa: 0.3364, kb_relative_information_score: 1123.3756, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8047, predictive_accuracy: 0.7218, prior_entropy: 0.9674, recall: 0.7218, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8738, scimark_benchmark: 1816.8364, usercpu_time_millis: 193.415, usercpu_time_millis_testing: 2.351, usercpu_time_millis_training: 191.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8708, kappa: 0.7277, kb_relative_information_score: 2565.8808, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9674, recall: 0.872, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6681, scimark_benchmark: 1849.513, usercpu_time_millis: 108.917, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 107.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9189, kappa: 0.8293, kb_relative_information_score: 3123.6629, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9196, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5437, scimark_benchmark: 1822.6808, usercpu_time_millis: 50.912, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 50.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7258, kappa: 0.4339, kb_relative_information_score: 1496.8954, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8218, predictive_accuracy: 0.7581, prior_entropy: 0.9674, recall: 0.7581, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.829, scimark_benchmark: 1831.8711, usercpu_time_millis: 192.628, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 190.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9169, kappa: 0.8252, kb_relative_information_score: 3327.3533, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9176, predictive_accuracy: 0.9174, prior_entropy: 0.9674, recall: 0.9174, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5291, scimark_benchmark: 1814.3231, usercpu_time_millis: 43.322, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 42.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9172, kappa: 0.8255, kb_relative_information_score: 3406.8416, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9185, predictive_accuracy: 0.9178, prior_entropy: 0.9674, recall: 0.9178, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5154, scimark_benchmark: 1751.4351, usercpu_time_millis: 100.25, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 99.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9117, kappa: 0.8141, kb_relative_information_score: 3273.8457, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9123, predictive_accuracy: 0.9122, prior_entropy: 0.9674, recall: 0.9122, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5438, scimark_benchmark: 1853.454, usercpu_time_millis: 51.416, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 50.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9244, kappa: 0.8409, kb_relative_information_score: 3410.3801, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.925, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5065, scimark_benchmark: 2127.3333, usercpu_time_millis: 33.096, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 32.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.5584, kappa: 0.1418, kb_relative_information_score: 390.2814, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.747, predictive_accuracy: 0.6518, prior_entropy: 0.9674, recall: 0.6518, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.953, scimark_benchmark: 1849.7595, usercpu_time_millis: 84.6, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 83.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.929, kappa: 0.8506, kb_relative_information_score: 3389.1035, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5028, scimark_benchmark: 1834.8193, usercpu_time_millis: 222.283, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 221.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9059, kappa: 0.8014, kb_relative_information_score: 3009.7265, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9085, predictive_accuracy: 0.907, prior_entropy: 0.9674, recall: 0.907, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5641, scimark_benchmark: 1852.9988, usercpu_time_millis: 61.51, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 60.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8084, kappa: 0.5949, kb_relative_information_score: 2011.96, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.837, predictive_accuracy: 0.8185, prior_entropy: 0.9674, recall: 0.8185, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.739, scimark_benchmark: 1838.0322, usercpu_time_millis: 99.705, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 98.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.6468, kappa: 0.2851, kb_relative_information_score: 855.3137, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7684, predictive_accuracy: 0.7009, prior_entropy: 0.9674, recall: 0.7009, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8901, scimark_benchmark: 1817.9056, usercpu_time_millis: 72.46, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 71.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6623, kappa: 0.3174, kb_relative_information_score: 1045.7996, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8011, predictive_accuracy: 0.7148, prior_entropy: 0.9674, recall: 0.7148, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8822, scimark_benchmark: 1842.598, usercpu_time_millis: 184.114, usercpu_time_millis_testing: 2.255, usercpu_time_millis_training: 181.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9166, kappa: 0.8244, kb_relative_information_score: 2801.2812, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9175, predictive_accuracy: 0.9172, prior_entropy: 0.9674, recall: 0.9172, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6009, scimark_benchmark: 1740.2317, usercpu_time_millis: 56.792, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 56.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9255, kappa: 0.8434, kb_relative_information_score: 3421.2965, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5007, scimark_benchmark: 1853.454, usercpu_time_millis: 41.366, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 40.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9251, kappa: 0.8424, kb_relative_information_score: 3428.3488, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9255, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5002, scimark_benchmark: 1855.4813, usercpu_time_millis: 38.546, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 38.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9152, kappa: 0.8212, kb_relative_information_score: 3387.9204, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9166, predictive_accuracy: 0.9159, prior_entropy: 0.9674, recall: 0.9159, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5196, scimark_benchmark: 1853.9121, usercpu_time_millis: 96.711, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 95.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7835, kappa: 0.5463, kb_relative_information_score: 2007.9009, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8438, predictive_accuracy: 0.8016, prior_entropy: 0.9674, recall: 0.8016, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7599, scimark_benchmark: 1852.9988, usercpu_time_millis: 176.486, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 174.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9165, kappa: 0.8241, kb_relative_information_score: 3128.5744, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9178, predictive_accuracy: 0.9172, prior_entropy: 0.9674, recall: 0.9172, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5447, scimark_benchmark: 1828.024, usercpu_time_millis: 55.94, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 55.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9264, kappa: 0.8452, kb_relative_information_score: 3425.7256, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9268, predictive_accuracy: 0.9268, prior_entropy: 0.9674, recall: 0.9268, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5004, scimark_benchmark: 1773.7039, usercpu_time_millis: 38.846, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 38.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9123, kappa: 0.8155, kb_relative_information_score: 3285.5239, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 0.9674, recall: 0.9128, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5407, scimark_benchmark: 1765.6619, usercpu_time_millis: 49.875, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 49.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9255, kappa: 0.8434, kb_relative_information_score: 3424.4878, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5004, scimark_benchmark: 1853.9121, usercpu_time_millis: 41.337, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 40.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.723, kappa: 0.4288, kb_relative_information_score: 1409.3779, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8228, predictive_accuracy: 0.7564, prior_entropy: 0.9674, recall: 0.7564, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8337, scimark_benchmark: 1848.2615, usercpu_time_millis: 150.39, usercpu_time_millis_testing: 2.367, usercpu_time_millis_training: 148.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.797, kappa: 0.571, kb_relative_information_score: 1882.3887, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8271, predictive_accuracy: 0.8083, prior_entropy: 0.9674, recall: 0.8083, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7605, scimark_benchmark: 1854.4431, usercpu_time_millis: 97.024, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 95.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9332, kappa: 0.8597, kb_relative_information_score: 3586.3779, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9335, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4821, scimark_benchmark: 1858.0974, usercpu_time_millis: 38.505, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 37.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9264, kappa: 0.8451, kb_relative_information_score: 3398.551, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9269, predictive_accuracy: 0.9268, prior_entropy: 0.9674, recall: 0.9268, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5022, scimark_benchmark: 1739.1321, usercpu_time_millis: 97.355, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 96.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9285, kappa: 0.8497, kb_relative_information_score: 3392.6248, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9291, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5028, scimark_benchmark: 1814.1182, usercpu_time_millis: 159.558, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 159.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9038, kappa: 0.7965, kb_relative_information_score: 2743.4521, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9095, predictive_accuracy: 0.9055, prior_entropy: 0.9674, recall: 0.9055, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6004, scimark_benchmark: 1773.6611, usercpu_time_millis: 45.809, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 45.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9246, kappa: 0.8415, kb_relative_information_score: 3457.3734, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5106, scimark_benchmark: 1930.7113, usercpu_time_millis: 48.557, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 47.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9264, kappa: 0.8451, kb_relative_information_score: 3409.0509, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9269, predictive_accuracy: 0.9268, prior_entropy: 0.9674, recall: 0.9268, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5018, scimark_benchmark: 1857.1082, usercpu_time_millis: 58.421, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 58.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9317, kappa: 0.8565, kb_relative_information_score: 3550.474, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 0.9674, recall: 0.932, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.4894, scimark_benchmark: 1853.4779, usercpu_time_millis: 40.869, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 40.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.7968, kappa: 0.5708, kb_relative_information_score: 1882.3485, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8277, predictive_accuracy: 0.8083, prior_entropy: 0.9674, recall: 0.8083, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7596, scimark_benchmark: 1846.2342, usercpu_time_millis: 99.935, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 98.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.6377, kappa: 0.2693, kb_relative_information_score: 873.384, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7646, predictive_accuracy: 0.6953, prior_entropy: 0.9674, recall: 0.6953, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8859, scimark_benchmark: 1791.2703, usercpu_time_millis: 56.835, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 56.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7369, kappa: 0.4554, kb_relative_information_score: 1521.1182, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8288, predictive_accuracy: 0.7666, prior_entropy: 0.9674, recall: 0.7666, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8195, scimark_benchmark: 1855.4813, usercpu_time_millis: 210.725, usercpu_time_millis_testing: 2.561, usercpu_time_millis_training: 208.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8659, kappa: 0.7159, kb_relative_information_score: 2615.2438, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8795, predictive_accuracy: 0.87, prior_entropy: 0.9674, recall: 0.87, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6264, scimark_benchmark: 1830.5158, usercpu_time_millis: 57.729, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 57.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.6913, kappa: 0.3663, kb_relative_information_score: 1006.8425, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7921, predictive_accuracy: 0.7311, prior_entropy: 0.9674, recall: 0.7311, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8729, scimark_benchmark: 1843.0864, usercpu_time_millis: 91.396, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 90.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7373, kappa: 0.4559, kb_relative_information_score: 1581.2677, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.827, predictive_accuracy: 0.7666, prior_entropy: 0.9674, recall: 0.7666, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8177, scimark_benchmark: 1831.2263, usercpu_time_millis: 192.146, usercpu_time_millis_testing: 2.368, usercpu_time_millis_training: 189.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.756, kappa: 0.4922, kb_relative_information_score: 1723.8746, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8353, predictive_accuracy: 0.7807, prior_entropy: 0.9674, recall: 0.7807, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7979, scimark_benchmark: 1859.6666, usercpu_time_millis: 164.539, usercpu_time_millis_testing: 2.255, usercpu_time_millis_training: 162.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9193, kappa: 0.8303, kb_relative_information_score: 3103.664, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9199, predictive_accuracy: 0.9198, prior_entropy: 0.9674, recall: 0.9198, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5471, scimark_benchmark: 1739.2591, usercpu_time_millis: 50.768, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 50.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6701, kappa: 0.3315, kb_relative_information_score: 1117.1822, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8044, predictive_accuracy: 0.7201, prior_entropy: 0.9674, recall: 0.7201, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8751, scimark_benchmark: 1855.0232, usercpu_time_millis: 226.729, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 224.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.6718, kappa: 0.3306, kb_relative_information_score: 898.3722, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7832, predictive_accuracy: 0.7179, prior_entropy: 0.9674, recall: 0.7179, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.886, scimark_benchmark: 1763.3636, usercpu_time_millis: 87.701, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 86.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9358, kappa: 0.8652, kb_relative_information_score: 3602.0513, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4755, scimark_benchmark: 1768.7212, usercpu_time_millis: 39.752, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 39.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7381, kappa: 0.4577, kb_relative_information_score: 1518.6892, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8292, predictive_accuracy: 0.7674, prior_entropy: 0.9674, recall: 0.7674, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8193, scimark_benchmark: 1859.1356, usercpu_time_millis: 161.503, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 159.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.6556, kappa: 0.3002, kb_relative_information_score: 964.5012, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7696, predictive_accuracy: 0.7062, prior_entropy: 0.9674, recall: 0.7062, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8737, scimark_benchmark: 1851.3688, usercpu_time_millis: 55.331, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 54.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7589, kappa: 0.4979, kb_relative_information_score: 1677.9381, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8362, predictive_accuracy: 0.7829, prior_entropy: 0.9674, recall: 0.7829, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7975, scimark_benchmark: 1842.598, usercpu_time_millis: 149.631, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 147.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9142, kappa: 0.8197, kb_relative_information_score: 3245.4929, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5396, scimark_benchmark: 1800.1143, usercpu_time_millis: 65.365, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 64.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9257, kappa: 0.8438, kb_relative_information_score: 3424.8325, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9262, predictive_accuracy: 0.9261, prior_entropy: 0.9674, recall: 0.9261, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5005, scimark_benchmark: 1853.9121, usercpu_time_millis: 40.967, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 40.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9228, kappa: 0.8376, kb_relative_information_score: 3369.5868, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9235, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5166, scimark_benchmark: 1844.677, usercpu_time_millis: 41.783, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 41.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7254, kappa: 0.4334, kb_relative_information_score: 1461.5797, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8237, predictive_accuracy: 0.7581, prior_entropy: 0.9674, recall: 0.7581, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8295, scimark_benchmark: 1849.7595, usercpu_time_millis: 139.491, usercpu_time_millis_testing: 2.366, usercpu_time_millis_training: 137.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.5371, kappa: 0.1098, kb_relative_information_score: 294.0281, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.741, predictive_accuracy: 0.6412, prior_entropy: 0.9674, recall: 0.6412, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9647, scimark_benchmark: 1752.1764, usercpu_time_millis: 95.333, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 94.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7431, kappa: 0.4673, kb_relative_information_score: 1569.7797, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8312, predictive_accuracy: 0.7711, prior_entropy: 0.9674, recall: 0.7711, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8124, scimark_benchmark: 1823.1387, usercpu_time_millis: 162.796, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 160.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9169, kappa: 0.8253, kb_relative_information_score: 3014.9135, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9175, predictive_accuracy: 0.9174, prior_entropy: 0.9674, recall: 0.9174, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5646, scimark_benchmark: 1703.8973, usercpu_time_millis: 66.38, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 65.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8638, kappa: 0.7133, kb_relative_information_score: 2659.6149, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.864, predictive_accuracy: 0.8646, prior_entropy: 0.9674, recall: 0.8646, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6617, scimark_benchmark: 1832.3193, usercpu_time_millis: 126.768, usercpu_time_millis_testing: 1.459, usercpu_time_millis_training: 125.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7429, kappa: 0.4666, kb_relative_information_score: 1634.8358, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8293, predictive_accuracy: 0.7707, prior_entropy: 0.9674, recall: 0.7707, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8107, scimark_benchmark: 1843.1261, usercpu_time_millis: 182.393, usercpu_time_millis_testing: 2.292, usercpu_time_millis_training: 180.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6972, kappa: 0.3807, kb_relative_information_score: 1241.1287, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8144, predictive_accuracy: 0.7383, prior_entropy: 0.9674, recall: 0.7383, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8551, scimark_benchmark: 1789.966, usercpu_time_millis: 154.396, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 152.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7789, kappa: 0.5376, kb_relative_information_score: 1839.9345, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8456, predictive_accuracy: 0.7985, prior_entropy: 0.9674, recall: 0.7985, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7744, scimark_benchmark: 1856.5402, usercpu_time_millis: 148.716, usercpu_time_millis_testing: 2.247, usercpu_time_millis_training: 146.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.5268, kappa: 0.095, kb_relative_information_score: 233.2402, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7404, predictive_accuracy: 0.6364, prior_entropy: 0.9674, recall: 0.6364, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9732, scimark_benchmark: 1852.4008, usercpu_time_millis: 101.634, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 100.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.722, kappa: 0.4268, kb_relative_information_score: 1475.1092, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8214, predictive_accuracy: 0.7555, prior_entropy: 0.9674, recall: 0.7555, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8325, scimark_benchmark: 1857.7641, usercpu_time_millis: 187.352, usercpu_time_millis_testing: 2.337, usercpu_time_millis_training: 185.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9235, kappa: 0.8391, kb_relative_information_score: 3411.2392, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9241, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5066, scimark_benchmark: 1853.9121, usercpu_time_millis: 35.063, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 34.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9255, kappa: 0.8434, kb_relative_information_score: 3413.7887, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5016, scimark_benchmark: 1748.965, usercpu_time_millis: 50.815, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 50.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9138, kappa: 0.8185, kb_relative_information_score: 3123.2136, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9153, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5448, scimark_benchmark: 1826.5386, usercpu_time_millis: 55.49, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 54.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6702, kappa: 0.3318, kb_relative_information_score: 1122.3392, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8059, predictive_accuracy: 0.7203, prior_entropy: 0.9674, recall: 0.7203, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8738, scimark_benchmark: 1858.7532, usercpu_time_millis: 188.186, usercpu_time_millis_testing: 2.292, usercpu_time_millis_training: 185.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8669, kappa: 0.7182, kb_relative_information_score: 2665.4288, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8763, predictive_accuracy: 0.8702, prior_entropy: 0.9674, recall: 0.8702, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6281, scimark_benchmark: 1841.2265, usercpu_time_millis: 79.508, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 78.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.5116, kappa: 0.0728, kb_relative_information_score: 195.6515, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7315, predictive_accuracy: 0.629, prior_entropy: 0.9674, recall: 0.629, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9775, scimark_benchmark: 1765.484, usercpu_time_millis: 107.338, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 105.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9145, kappa: 0.8201, kb_relative_information_score: 2910.5905, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9152, predictive_accuracy: 0.915, prior_entropy: 0.9674, recall: 0.915, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5824, scimark_benchmark: 1794.166, usercpu_time_millis: 51.553, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 51.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6813, kappa: 0.3519, kb_relative_information_score: 1133.4068, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8096, predictive_accuracy: 0.7277, prior_entropy: 0.9674, recall: 0.7277, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8679, scimark_benchmark: 1842.1399, usercpu_time_millis: 155.253, usercpu_time_millis_testing: 2.402, usercpu_time_millis_training: 152.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9167, kappa: 0.8248, kb_relative_information_score: 2989.201, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9173, predictive_accuracy: 0.9172, prior_entropy: 0.9674, recall: 0.9172, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5669, scimark_benchmark: 1765.6353, usercpu_time_millis: 47.669, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 47.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8944, kappa: 0.7794, kb_relative_information_score: 3068.7752, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8949, predictive_accuracy: 0.8942, prior_entropy: 0.9674, recall: 0.8942, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6022, scimark_benchmark: 1853.3841, usercpu_time_millis: 104.999, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 103.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8624, kappa: 0.7086, kb_relative_information_score: 2555.9796, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8777, predictive_accuracy: 0.867, prior_entropy: 0.9674, recall: 0.867, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6366, scimark_benchmark: 1838.6023, usercpu_time_millis: 55.29, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 54.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8115, kappa: 0.6026, kb_relative_information_score: 2347.3415, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8534, predictive_accuracy: 0.8237, prior_entropy: 0.9674, recall: 0.8237, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7056, scimark_benchmark: 1765.9617, usercpu_time_millis: 158.363, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 156.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.6352, kappa: 0.2655, kb_relative_information_score: 798.5704, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7669, predictive_accuracy: 0.6942, prior_entropy: 0.9674, recall: 0.6942, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8977, scimark_benchmark: 1769.0097, usercpu_time_millis: 70.13, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 69.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.694, kappa: 0.3749, kb_relative_information_score: 1270.8647, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8132, predictive_accuracy: 0.7361, prior_entropy: 0.9674, recall: 0.7361, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.857, scimark_benchmark: 1751.1678, usercpu_time_millis: 184.057, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 181.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.5467, kappa: 0.1245, kb_relative_information_score: 334.443, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7466, predictive_accuracy: 0.6462, prior_entropy: 0.9674, recall: 0.6462, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9604, scimark_benchmark: 1774.4128, usercpu_time_millis: 95.12, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 94.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9171, kappa: 0.8255, kb_relative_information_score: 3324.4272, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9178, predictive_accuracy: 0.9176, prior_entropy: 0.9674, recall: 0.9176, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5305, scimark_benchmark: 1846.7639, usercpu_time_millis: 44.794, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 44.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9355, kappa: 0.8645, kb_relative_information_score: 3633.0316, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9356, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4656, scimark_benchmark: 1869.105, usercpu_time_millis: 60.014, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 59.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9158, kappa: 0.8229, kb_relative_information_score: 3314.4386, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9164, predictive_accuracy: 0.9163, prior_entropy: 0.9674, recall: 0.9163, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5326, scimark_benchmark: 1845.3208, usercpu_time_millis: 44.432, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 43.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9193, kappa: 0.8302, kb_relative_information_score: 3353.4527, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.92, predictive_accuracy: 0.9198, prior_entropy: 0.9674, recall: 0.9198, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5216, scimark_benchmark: 1860.1803, usercpu_time_millis: 54.781, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 54.112,

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