OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

99484 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: 0.9566, f_measure: 0.8322, kappa: 0.6456, kb_relative_information_score: 1296.0344, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9674, recall: 0.8418, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7951, scimark_benchmark: 1243.1014, usercpu_time_millis: 34.047, usercpu_time_millis_testing: 3.723, usercpu_time_millis_training: 30.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.941, kappa: 0.8759, kb_relative_information_score: 3246.9875, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9416, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4712, scimark_benchmark: 1240.0432, usercpu_time_millis: 66.428, usercpu_time_millis_testing: 4.975, usercpu_time_millis_training: 61.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9289, kappa: 0.8504, kb_relative_information_score: 3285.8515, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9298, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4989, scimark_benchmark: 1241.9601, usercpu_time_millis: 795.996, usercpu_time_millis_testing: 12.681, usercpu_time_millis_training: 783.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.951, kappa: 0.8972, kb_relative_information_score: 3798.6545, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.951, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4063, scimark_benchmark: 1247.63, usercpu_time_millis: 104.175, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 102.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9327, kappa: 0.8585, kb_relative_information_score: 3128.7242, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5099, scimark_benchmark: 1245.2587, usercpu_time_millis: 159.747, usercpu_time_millis_testing: 10.873, usercpu_time_millis_training: 148.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9363, kappa: 0.866, kb_relative_information_score: 3474.79, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9366, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.4665, scimark_benchmark: 1247.7564, usercpu_time_millis: 185.525, usercpu_time_millis_testing: 6.102, usercpu_time_millis_training: 179.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9433, kappa: 0.881, kb_relative_information_score: 3614.6243, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9435, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4368, scimark_benchmark: 1246.4907, usercpu_time_millis: 35.846, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 34.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9409, kappa: 0.8759, kb_relative_information_score: 3603.4654, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9411, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4409, scimark_benchmark: 1238.3069, usercpu_time_millis: 165.839, usercpu_time_millis_testing: 4.931, usercpu_time_millis_training: 160.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9331, kappa: 0.8593, kb_relative_information_score: 3255.3917, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9338, predictive_accuracy: 0.9335, prior_entropy: 0.9674, recall: 0.9335, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.498, scimark_benchmark: 1233.1614, usercpu_time_millis: 441.307, usercpu_time_millis_testing: 11.578, usercpu_time_millis_training: 429.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9367, kappa: 0.8668, kb_relative_information_score: 3529.7774, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9371, predictive_accuracy: 0.937, prior_entropy: 0.9674, recall: 0.937, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4626, scimark_benchmark: 1231.3977, usercpu_time_millis: 1311.686, usercpu_time_millis_testing: 17.926, usercpu_time_millis_training: 1293.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9287, kappa: 0.85, kb_relative_information_score: 2910.3814, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9291, prior_entropy: 0.9674, recall: 0.9291, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5421, scimark_benchmark: 1236.9525, usercpu_time_millis: 177.045, usercpu_time_millis_testing: 9.75, usercpu_time_millis_training: 167.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9085, kappa: 0.8081, kb_relative_information_score: 2600.1801, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9085, predictive_accuracy: 0.9087, prior_entropy: 0.9674, recall: 0.9087, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6003, scimark_benchmark: 1230.7027, usercpu_time_millis: 142.982, usercpu_time_millis_testing: 6.935, usercpu_time_millis_training: 136.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8714, kappa: 0.7275, kb_relative_information_score: 1611.481, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8876, predictive_accuracy: 0.8757, prior_entropy: 0.9674, recall: 0.8757, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7422, scimark_benchmark: 1234.5446, usercpu_time_millis: 16.249, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 14.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.4573, kb_relative_information_score: -0.0767, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1223.7457, usercpu_time_millis: 16.64, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 14.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9472, kappa: 0.8892, kb_relative_information_score: 3691.107, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4202, scimark_benchmark: 1230.613, usercpu_time_millis: 397.793, usercpu_time_millis_testing: 11.651, usercpu_time_millis_training: 386.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9327, kappa: 0.8584, kb_relative_information_score: 3367.7423, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4877, scimark_benchmark: 1231.027, usercpu_time_millis: 149.486, usercpu_time_millis_testing: 4.59, usercpu_time_millis_training: 144.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9475, kappa: 0.8898, kb_relative_information_score: 3690.2916, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4167, scimark_benchmark: 1235.1083, usercpu_time_millis: 288.288, usercpu_time_millis_testing: 8.97, usercpu_time_millis_training: 279.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9462, kappa: 0.8871, kb_relative_information_score: 3647.8046, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4256, scimark_benchmark: 1235.8388, usercpu_time_millis: 651.362, usercpu_time_millis_testing: 16.187, usercpu_time_millis_training: 635.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9475, kappa: 0.8897, kb_relative_information_score: 3698.13, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4191, scimark_benchmark: 1233.2752, usercpu_time_millis: 475.35, usercpu_time_millis_testing: 8.136, usercpu_time_millis_training: 467.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9405, kappa: 0.8749, kb_relative_information_score: 3572.5903, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9407, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4453, scimark_benchmark: 1234.3953, usercpu_time_millis: 364.338, usercpu_time_millis_testing: 12.116, usercpu_time_millis_training: 352.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9342, kappa: 0.8617, kb_relative_information_score: 3437.5568, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9348, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4736, scimark_benchmark: 1211.3773, usercpu_time_millis: 385.407, usercpu_time_millis_testing: 11.142, usercpu_time_millis_training: 374.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9514, kappa: 0.8981, kb_relative_information_score: 3793.6194, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.9674, recall: 0.9515, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4077, scimark_benchmark: 1247.3879, usercpu_time_millis: 747.759, usercpu_time_millis_testing: 12.551, usercpu_time_millis_training: 735.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8499, kappa: 0.6821, kb_relative_information_score: 1775.1365, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8641, predictive_accuracy: 0.8548, prior_entropy: 0.9674, recall: 0.8548, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7321, scimark_benchmark: 1231.4562, usercpu_time_millis: 64.622, usercpu_time_millis_testing: 3.281, usercpu_time_millis_training: 61.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9455, kappa: 0.8856, kb_relative_information_score: 3632.2897, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4323, scimark_benchmark: 1232.5445, usercpu_time_millis: 666.934, usercpu_time_millis_testing: 16.688, usercpu_time_millis_training: 650.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9305, kappa: 0.8537, kb_relative_information_score: 2852.4988, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9312, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5462, scimark_benchmark: 1230.41, usercpu_time_millis: 159.273, usercpu_time_millis_testing: 11.267, usercpu_time_millis_training: 148.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4573, kb_relative_information_score: -0.0618, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1235.9283, usercpu_time_millis: 12.052, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 10.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9452, kappa: 0.8847, kb_relative_information_score: 3288.244, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9457, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4631, scimark_benchmark: 1231.9726, usercpu_time_millis: 181.086, usercpu_time_millis_testing: 12.221, usercpu_time_millis_training: 168.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9472, kappa: 0.8891, kb_relative_information_score: 3543.4197, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9475, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4321, scimark_benchmark: 1233.6433, usercpu_time_millis: 487.426, usercpu_time_millis_testing: 17.351, usercpu_time_millis_training: 470.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9501, kappa: 0.8952, kb_relative_information_score: 3685.6142, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.408, scimark_benchmark: 1229.4361, usercpu_time_millis: 512.598, usercpu_time_millis_testing: 20.822, usercpu_time_millis_training: 491.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9415, kappa: 0.8772, kb_relative_information_score: 3559.7763, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4431, scimark_benchmark: 1229.5096, usercpu_time_millis: 194.718, usercpu_time_millis_testing: 8.115, usercpu_time_millis_training: 186.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9244, kappa: 0.8407, kb_relative_information_score: 2415.744, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9258, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6094, scimark_benchmark: 1233.1037, usercpu_time_millis: 27.211, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 24.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9208, kappa: 0.8332, kb_relative_information_score: 2997.2157, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9218, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5554, scimark_benchmark: 1228.6258, usercpu_time_millis: 133.294, usercpu_time_millis_testing: 3.925, usercpu_time_millis_training: 129.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4573, kb_relative_information_score: -0.788, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1233.1519, usercpu_time_millis: 21.701, usercpu_time_millis_testing: 2.582, usercpu_time_millis_training: 19.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9464, kappa: 0.8876, kb_relative_information_score: 3776.3285, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.416, scimark_benchmark: 1245.2141, usercpu_time_millis: 1142.192, usercpu_time_millis_testing: 13.923, usercpu_time_millis_training: 1128.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9397, kappa: 0.8733, kb_relative_information_score: 3356.8949, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 0.9674, recall: 0.94, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4636, scimark_benchmark: 1218.5224, usercpu_time_millis: 28.463, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 26.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9444, kappa: 0.8833, kb_relative_information_score: 3685.0293, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4299, scimark_benchmark: 1241.8852, usercpu_time_millis: 561.795, usercpu_time_millis_testing: 8.332, usercpu_time_millis_training: 553.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9457, kappa: 0.8861, kb_relative_information_score: 3681.5084, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4228, scimark_benchmark: 1233.3443, usercpu_time_millis: 377.412, usercpu_time_millis_testing: 8.395, usercpu_time_millis_training: 369.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9338, kappa: 0.8608, kb_relative_information_score: 3364.1551, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9343, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4844, scimark_benchmark: 1237.3168, usercpu_time_millis: 286.345, usercpu_time_millis_testing: 8.496, usercpu_time_millis_training: 277.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9426, kappa: 0.8795, kb_relative_information_score: 3558.5995, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9429, predictive_accuracy: 0.9428, prior_entropy: 0.9674, recall: 0.9428, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4388, scimark_benchmark: 1235.9551, usercpu_time_millis: 419.003, usercpu_time_millis_testing: 16.784, usercpu_time_millis_training: 402.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9094, kappa: 0.81, kb_relative_information_score: 2714.5954, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9094, predictive_accuracy: 0.9096, prior_entropy: 0.9674, recall: 0.9096, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5868, scimark_benchmark: 1233.7575, usercpu_time_millis: 189.992, usercpu_time_millis_testing: 7.034, usercpu_time_millis_training: 182.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9512, kappa: 0.8975, kb_relative_information_score: 3595.3762, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4217, scimark_benchmark: 1249.3823, usercpu_time_millis: 51.597, usercpu_time_millis_testing: 2.401, usercpu_time_millis_training: 49.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9249, kappa: 0.842, kb_relative_information_score: 2984.2919, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9259, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5398, scimark_benchmark: 1237.529, usercpu_time_millis: 269.57, usercpu_time_millis_testing: 9.551, usercpu_time_millis_training: 260.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9466, kappa: 0.8877, kb_relative_information_score: 3576.2411, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9468, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.432, scimark_benchmark: 1206.4208, usercpu_time_millis: 363.369, usercpu_time_millis_testing: 11.676, usercpu_time_millis_training: 351.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9501, kappa: 0.8954, kb_relative_information_score: 3790.7975, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.409, scimark_benchmark: 1246.1425, usercpu_time_millis: 178.728, usercpu_time_millis_testing: 3.25, usercpu_time_millis_training: 175.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3502.2365, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4639, scimark_benchmark: 1193.0416, usercpu_time_millis: 1020.766, usercpu_time_millis_testing: 13.864, usercpu_time_millis_training: 1006.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9214, kappa: 0.8342, kb_relative_information_score: 2555.3929, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9246, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5846, scimark_benchmark: 1246.9431, usercpu_time_millis: 45.486, usercpu_time_millis_testing: 4.026, usercpu_time_millis_training: 41.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9192, kappa: 0.8298, kb_relative_information_score: 2976.1178, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9203, predictive_accuracy: 0.9198, prior_entropy: 0.9674, recall: 0.9198, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5598, scimark_benchmark: 1231.9946, usercpu_time_millis: 440.078, usercpu_time_millis_testing: 8.044, usercpu_time_millis_training: 432.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9323, kappa: 0.8577, kb_relative_information_score: 3447.4796, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9327, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4752, scimark_benchmark: 1253.5095, usercpu_time_millis: 143.915, usercpu_time_millis_testing: 5.397, usercpu_time_millis_training: 138.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9309, kappa: 0.8547, kb_relative_information_score: 3182.1826, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9316, predictive_accuracy: 0.9313, prior_entropy: 0.9674, recall: 0.9313, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5091, scimark_benchmark: 1249.112, usercpu_time_millis: 146.842, usercpu_time_millis_testing: 7.66, usercpu_time_millis_training: 139.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9239, kappa: 0.8394, kb_relative_information_score: 2548.6754, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9269, predictive_accuracy: 0.9248, prior_entropy: 0.9674, recall: 0.9248, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5856, scimark_benchmark: 1251.8461, usercpu_time_millis: 30.811, usercpu_time_millis_testing: 3.281, usercpu_time_millis_training: 27.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8715, kappa: 0.7279, kb_relative_information_score: 1597.9044, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8897, predictive_accuracy: 0.8761, prior_entropy: 0.9674, recall: 0.8761, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7453, scimark_benchmark: 1242.4913, usercpu_time_millis: 51.946, usercpu_time_millis_testing: 5.953, usercpu_time_millis_training: 45.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8993, kappa: 0.7889, kb_relative_information_score: 2733.872, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8992, predictive_accuracy: 0.8994, prior_entropy: 0.9674, recall: 0.8994, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6079, scimark_benchmark: 1246.8475, usercpu_time_millis: 400.384, usercpu_time_millis_testing: 6.337, usercpu_time_millis_training: 394.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9485, kappa: 0.8919, kb_relative_information_score: 3581.0402, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9488, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4231, scimark_benchmark: 1253.0871, usercpu_time_millis: 322.797, usercpu_time_millis_testing: 17.495, usercpu_time_millis_training: 305.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9222, kappa: 0.8365, kb_relative_information_score: 2811.0777, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9227, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.566, scimark_benchmark: 1254.4661, usercpu_time_millis: 82.185, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 77.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9009, kappa: 0.7929, kb_relative_information_score: 2454.0943, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9013, predictive_accuracy: 0.9007, prior_entropy: 0.9674, recall: 0.9007, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.628, scimark_benchmark: 1252.8495, usercpu_time_millis: 19.283, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 18.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9477, kappa: 0.8902, kb_relative_information_score: 3668.1117, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4188, scimark_benchmark: 1232.7614, usercpu_time_millis: 319.767, usercpu_time_millis_testing: 9.056, usercpu_time_millis_training: 310.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9254, kappa: 0.8429, kb_relative_information_score: 2709.5685, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9264, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5706, scimark_benchmark: 1254.9654, usercpu_time_millis: 125.563, usercpu_time_millis_testing: 6.526, usercpu_time_millis_training: 119.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.94, kappa: 0.8739, kb_relative_information_score: 3522.0342, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4465, scimark_benchmark: 1244.4415, usercpu_time_millis: 218.263, usercpu_time_millis_testing: 10.495, usercpu_time_millis_training: 207.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9404, kappa: 0.8746, kb_relative_information_score: 3259.182, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4744, scimark_benchmark: 1256.82, usercpu_time_millis: 27.393, usercpu_time_millis_testing: 2.11, usercpu_time_millis_training: 25.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9411, kappa: 0.8762, kb_relative_information_score: 3584.741, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4425, scimark_benchmark: 1249.5486, usercpu_time_millis: 40.23, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 39.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9452, kappa: 0.8847, kb_relative_information_score: 3328.0006, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9458, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4562, scimark_benchmark: 1244.5951, usercpu_time_millis: 218.765, usercpu_time_millis_testing: 14.992, usercpu_time_millis_training: 203.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8722, kappa: 0.7328, kb_relative_information_score: 2226.9896, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8725, predictive_accuracy: 0.872, prior_entropy: 0.9674, recall: 0.872, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6689, scimark_benchmark: 1248.3788, usercpu_time_millis: 9.588, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 9.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9225, kappa: 0.837, kb_relative_information_score: 3228.3229, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9234, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.5172, scimark_benchmark: 1254.0434, usercpu_time_millis: 153, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 150.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.918, kappa: 0.8277, kb_relative_information_score: 2591.6556, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9181, predictive_accuracy: 0.9183, prior_entropy: 0.9674, recall: 0.9183, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5954, scimark_benchmark: 1246.7696, usercpu_time_millis: 16.891, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 15.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9085, kappa: 0.808, kb_relative_information_score: 2805.8826, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9085, predictive_accuracy: 0.9087, prior_entropy: 0.9674, recall: 0.9087, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.584, scimark_benchmark: 1251.76, usercpu_time_millis: 443.604, usercpu_time_millis_testing: 9.295, usercpu_time_millis_training: 434.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9297, kappa: 0.8522, kb_relative_information_score: 3269.6949, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9301, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5048, scimark_benchmark: 1240.6481, usercpu_time_millis: 13.883, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 13.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9341, kappa: 0.8614, kb_relative_information_score: 3434.3099, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9344, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4766, scimark_benchmark: 1251.2164, usercpu_time_millis: 24.772, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 23.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9325, kappa: 0.858, kb_relative_information_score: 3314.2598, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 0.9674, recall: 0.9328, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.4913, scimark_benchmark: 1247.8755, usercpu_time_millis: 33.709, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 32.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9439, kappa: 0.8822, kb_relative_information_score: 3499.1314, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4391, scimark_benchmark: 1246.8743, usercpu_time_millis: 140.124, usercpu_time_millis_testing: 7.418, usercpu_time_millis_training: 132.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8742, kappa: 0.7336, kb_relative_information_score: 1625.7891, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8909, predictive_accuracy: 0.8785, prior_entropy: 0.9674, recall: 0.8785, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7408, scimark_benchmark: 1247.6196, usercpu_time_millis: 50.344, usercpu_time_millis_testing: 4.595, usercpu_time_millis_training: 45.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9255, kappa: 0.8432, kb_relative_information_score: 3081.1328, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9261, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5305, scimark_benchmark: 1243.0914, usercpu_time_millis: 112.549, usercpu_time_millis_testing: 4.927, usercpu_time_millis_training: 107.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9475, kappa: 0.8897, kb_relative_information_score: 3663.59, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4232, scimark_benchmark: 1246.4506, usercpu_time_millis: 140.489, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 137.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9246, kappa: 0.8413, kb_relative_information_score: 2924.1571, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9252, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5521, scimark_benchmark: 1240.6891, usercpu_time_millis: 160.627, usercpu_time_millis_testing: 7.952, usercpu_time_millis_training: 152.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9413, kappa: 0.8767, kb_relative_information_score: 3570.2026, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9416, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.216, root_relative_squared_error: 0.442, scimark_benchmark: 1252.8122, usercpu_time_millis: 235.098, usercpu_time_millis_testing: 8.452, usercpu_time_millis_training: 226.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8699, kappa: 0.7307, kb_relative_information_score: 2482.4871, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8742, predictive_accuracy: 0.8689, prior_entropy: 0.9674, recall: 0.8689, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6514, scimark_benchmark: 1251.7781, usercpu_time_millis: 164.11, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 160.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9245, kappa: 0.8412, kb_relative_information_score: 3228.2437, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9253, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5076, scimark_benchmark: 1251.7115, usercpu_time_millis: 553.144, usercpu_time_millis_testing: 10.804, usercpu_time_millis_training: 542.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9453, kappa: 0.885, kb_relative_information_score: 3613.4754, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4335, scimark_benchmark: 1248.7332, usercpu_time_millis: 247.421, usercpu_time_millis_testing: 4.952, usercpu_time_millis_training: 242.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4573, kb_relative_information_score: -0.1381, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1246.9494, usercpu_time_millis: 19.304, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 16.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9248, kappa: 0.8419, kb_relative_information_score: 2900.9199, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9254, predictive_accuracy: 0.9252, prior_entropy: 0.9674, recall: 0.9252, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5549, scimark_benchmark: 1259.6897, usercpu_time_millis: 236.706, usercpu_time_millis_testing: 9.111, usercpu_time_millis_training: 227.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8815, kappa: 0.7532, kb_relative_information_score: 2360.0329, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.883, predictive_accuracy: 0.8809, prior_entropy: 0.9674, recall: 0.8809, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6524, scimark_benchmark: 1240.8933, usercpu_time_millis: 152.637, usercpu_time_millis_testing: 6.467, usercpu_time_millis_training: 146.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9446, kappa: 0.8837, kb_relative_information_score: 3671.9217, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4271, scimark_benchmark: 1241.4817, usercpu_time_millis: 1119.604, usercpu_time_millis_testing: 16.784, usercpu_time_millis_training: 1102.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9441, kappa: 0.8826, kb_relative_information_score: 3536.3287, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9445, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4431, scimark_benchmark: 1228.9638, usercpu_time_millis: 43.121, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 41.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9135, kappa: 0.8173, kb_relative_information_score: 2392.1919, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9179, predictive_accuracy: 0.9148, prior_entropy: 0.9674, recall: 0.9148, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6124, scimark_benchmark: 1238.2109, usercpu_time_millis: 43.372, usercpu_time_millis_testing: 4, usercpu_time_millis_training: 39.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.943, kappa: 0.8803, kb_relative_information_score: 3509.6865, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4392, scimark_benchmark: 1250.5892, usercpu_time_millis: 177.651, usercpu_time_millis_testing: 11.019, usercpu_time_millis_training: 166.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9311, kappa: 0.8551, kb_relative_information_score: 3135.1864, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9318, predictive_accuracy: 0.9315, prior_entropy: 0.9674, recall: 0.9315, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5127, scimark_benchmark: 1249.3809, usercpu_time_millis: 193.466, usercpu_time_millis_testing: 5.922, usercpu_time_millis_training: 187.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8412, kappa: 0.6639, kb_relative_information_score: 1662.5305, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8638, predictive_accuracy: 0.8481, prior_entropy: 0.9674, recall: 0.8481, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7485, scimark_benchmark: 1236.7862, usercpu_time_millis: 12.44, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 11.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9354, kappa: 0.8641, kb_relative_information_score: 3308.378, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9358, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4834, scimark_benchmark: 1253.8323, usercpu_time_millis: 83.81, usercpu_time_millis_testing: 5.243, usercpu_time_millis_training: 78.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9199, kappa: 0.8313, kb_relative_information_score: 3016.1169, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9209, predictive_accuracy: 0.9205, prior_entropy: 0.9674, recall: 0.9205, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5453, scimark_benchmark: 1238.9567, usercpu_time_millis: 195.363, usercpu_time_millis_testing: 4.256, usercpu_time_millis_training: 191.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9466, kappa: 0.8879, kb_relative_information_score: 3631.1568, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4201, scimark_benchmark: 1243.9967, usercpu_time_millis: 274.249, usercpu_time_millis_testing: 11.063, usercpu_time_millis_training: 263.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9305, kappa: 0.8537, kb_relative_information_score: 2900.2719, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9312, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.539, scimark_benchmark: 1246.9147, usercpu_time_millis: 95.924, usercpu_time_millis_testing: 5.702, usercpu_time_millis_training: 90.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.93, kappa: 0.8528, kb_relative_information_score: 3052.1461, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9307, predictive_accuracy: 0.9305, prior_entropy: 0.9674, recall: 0.9305, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5245, scimark_benchmark: 1249.1481, usercpu_time_millis: 199.35, usercpu_time_millis_testing: 10.311, usercpu_time_millis_training: 189.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9431, kappa: 0.8805, kb_relative_information_score: 3654.9376, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4337, scimark_benchmark: 1233.8874, usercpu_time_millis: 1346.377, usercpu_time_millis_testing: 17.699, usercpu_time_millis_training: 1328.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9477, kappa: 0.89, kb_relative_information_score: 3459.0999, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9479, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4393, scimark_benchmark: 1236.6698, usercpu_time_millis: 209.98, usercpu_time_millis_testing: 13.827, usercpu_time_millis_training: 196.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9512, kappa: 0.8974, kb_relative_information_score: 3565.1754, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9514, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4199, scimark_benchmark: 1244.0861, usercpu_time_millis: 236.873, usercpu_time_millis_testing: 12.299, usercpu_time_millis_training: 224.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9272, kappa: 0.8467, kb_relative_information_score: 2977.3677, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.928, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5387, scimark_benchmark: 1247.4439, usercpu_time_millis: 240.42, usercpu_time_millis_testing: 8.011, usercpu_time_millis_training: 232.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9562, kappa: 0.9081, kb_relative_information_score: 3781.2571, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3911, scimark_benchmark: 1248.7641, usercpu_time_millis: 115.277, usercpu_time_millis_testing: 4.622, usercpu_time_millis_training: 110.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4573, kb_relative_information_score: -0.6541, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1232.067, usercpu_time_millis: 17.494, usercpu_time_millis_testing: 1.867, usercpu_time_millis_training: 15.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9136, kappa: 0.8176, kb_relative_information_score: 2132.9012, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9163, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6576, scimark_benchmark: 1240.6849, usercpu_time_millis: 19.049, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 17.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9477, kappa: 0.8903, kb_relative_information_score: 3738.5068, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195, scimark_benchmark: 1241.2574, usercpu_time_millis: 596.263, usercpu_time_millis_testing: 7.047, usercpu_time_millis_training: 589.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9468, kappa: 0.8884, kb_relative_information_score: 3722.7383, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4208, scimark_benchmark: 1247.3575, usercpu_time_millis: 1299.402, usercpu_time_millis_testing: 16.405, usercpu_time_millis_training: 1282.997,

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