OpenML
Supervised Classification on puma8NH

Supervised Classification on puma8NH

Task 3681 Supervised Classification puma8NH 553 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

553 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7775, kappa: 0.5549, kb_relative_information_score: 3605.9141, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7775, predictive_accuracy: 0.7775, prior_entropy: 1, recall: 0.7775, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8553, scimark_benchmark: 1345.7204, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 1328.941, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8112, kappa: 0.6226, kb_relative_information_score: 3891.0699, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8117, predictive_accuracy: 0.8113, prior_entropy: 1, recall: 0.8113, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7869, scimark_benchmark: 1350.073, usercpu_time_millis: 2090, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1350.2369, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 1345.842, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 1309.4998, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8015, kappa: 0.603, kb_relative_information_score: 3931.7355, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.369, root_relative_squared_error: 0.738, scimark_benchmark: 1342.1678, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1335.643, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8224, kappa: 0.6447, kb_relative_information_score: 2103.5658, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8224, predictive_accuracy: 0.8224, prior_entropy: 1, recall: 0.8224, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8254, scimark_benchmark: 1315.933, usercpu_time_millis: 6470, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 5870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1249.4068, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 1343.2125, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8015, kappa: 0.603, kb_relative_information_score: 3931.7355, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.369, root_relative_squared_error: 0.738, scimark_benchmark: 906.4475, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8254, kappa: 0.6509, kb_relative_information_score: 5274.712, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8254, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8026, scimark_benchmark: 1337.8643, usercpu_time_millis: 24170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 24160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3393.9924, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.765, scimark_benchmark: 1348.7888, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8223, kappa: 0.6445, kb_relative_information_score: 2063.9883, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8223, predictive_accuracy: 0.8223, prior_entropy: 1, recall: 0.8223, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8304, scimark_benchmark: 932.5646, usercpu_time_millis: 3130, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8319, kappa: 0.664, kb_relative_information_score: 4414.5881, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7077, scimark_benchmark: 937.6212, usercpu_time_millis: 3130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8332, kappa: 0.6665, kb_relative_information_score: 4551.1682, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8335, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6898, scimark_benchmark: 1320.9366, usercpu_time_millis: 10680, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 9940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1151.3336, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 5361.9211, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 1151.3336, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 883.2709, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1330.2021, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8015, kappa: 0.603, kb_relative_information_score: 3931.7355, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.369, root_relative_squared_error: 0.738, scimark_benchmark: 1308.3432, usercpu_time_millis: 840, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7248, kappa: 0.4545, kb_relative_information_score: 2027.3714, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7354, predictive_accuracy: 0.7271, prior_entropy: 1, recall: 0.7271, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8821, scimark_benchmark: 912.7324, usercpu_time_millis: 267450, usercpu_time_millis_testing: 267450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 3810.9594, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7528, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8679, scimark_benchmark: 1297.2338, usercpu_time_millis: 2057390, usercpu_time_millis_testing: 2057390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.8805, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0234, scimark_benchmark: 1327.9121, usercpu_time_millis: 12920, usercpu_time_millis_testing: 12920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8132, kappa: 0.6264, kb_relative_information_score: 5131.9147, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8135, predictive_accuracy: 0.8132, prior_entropy: 1, recall: 0.8132, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8643, scimark_benchmark: 1346.3935, usercpu_time_millis: 8150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7005, kappa: 0.4233, kb_relative_information_score: 2023.6339, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7477, predictive_accuracy: 0.7112, prior_entropy: 1, recall: 0.7112, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8893, scimark_benchmark: 943.1756, usercpu_time_millis: 1100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3868.7615, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.749, scimark_benchmark: 1059.8591, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.827, kappa: 0.654, kb_relative_information_score: 4398.6855, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8273, predictive_accuracy: 0.827, prior_entropy: 1, recall: 0.827, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7284, scimark_benchmark: 1349.1028, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7964, kappa: 0.593, kb_relative_information_score: 3296.4024, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7968, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7913, scimark_benchmark: 1325.0605, usercpu_time_millis: 1350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8307, kappa: 0.6613, kb_relative_information_score: 4557.7146, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8309, predictive_accuracy: 0.8307, prior_entropy: 1, recall: 0.8307, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 1322.4054, usercpu_time_millis: 5130, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 4720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8271, kappa: 0.6543, kb_relative_information_score: 4543.0652, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8273, predictive_accuracy: 0.8271, prior_entropy: 1, recall: 0.8271, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6957, scimark_benchmark: 1311.1837, usercpu_time_millis: 1360, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 5399.9222, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8298, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256, scimark_benchmark: 1123.855, usercpu_time_millis: 16250, usercpu_time_millis_testing: 3220, usercpu_time_millis_training: 13030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8054, kappa: 0.6112, kb_relative_information_score: 3168.1497, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8072, predictive_accuracy: 0.8057, prior_entropy: 1, recall: 0.8057, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7802, scimark_benchmark: 950.6776, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7775, kappa: 0.5549, kb_relative_information_score: 3605.9141, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7775, predictive_accuracy: 0.7775, prior_entropy: 1, recall: 0.7775, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8553, scimark_benchmark: 1315.8714, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 1340.1351, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 1386.5717, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.8271, kappa: 0.6543, kb_relative_information_score: 4358.2934, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8272, predictive_accuracy: 0.8271, prior_entropy: 1, recall: 0.8271, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 1313.9606, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 3271.2174, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 1334.8495, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5319.92, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8247, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 1358.4523, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 1324.3755, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6932, kappa: 0.3939, kb_relative_information_score: 1643.2016, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7065, predictive_accuracy: 0.6967, prior_entropy: 1, recall: 0.6967, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9148, scimark_benchmark: 1332.6319, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8302, kappa: 0.6606, kb_relative_information_score: 5340.5976, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8311, predictive_accuracy: 0.8303, prior_entropy: 1, recall: 0.8303, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.807, scimark_benchmark: 1323.976, usercpu_time_millis: 1010, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8015, kappa: 0.603, kb_relative_information_score: 3931.7355, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 1, recall: 0.8015, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.369, root_relative_squared_error: 0.738, scimark_benchmark: 1373.2982, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 2798.8146, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7776, scimark_benchmark: 1326.6565, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3817.6742, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7568, scimark_benchmark: 918.6005, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.602, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 1363.454, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 3271.1656, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 932.0242, usercpu_time_millis: 52060, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 48870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 854.5188, usercpu_time_millis: 5700, usercpu_time_millis_testing: 5690, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4991, kappa: -0.0017, kb_relative_information_score: 0.8248, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.4992, predictive_accuracy: 0.4991, prior_entropy: 1, recall: 0.4991, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3375, kappa: 0, kb_relative_information_score: -0.3218, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5011, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 4105.4997, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8238, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 906.4475, usercpu_time_millis: 1500, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7227, kappa: 0.4453, kb_relative_information_score: 3647.8734, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7227, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0533, scimark_benchmark: 876.0664, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8211, kappa: 0.6424, kb_relative_information_score: 3653.8705, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8215, predictive_accuracy: 0.8212, prior_entropy: 1, recall: 0.8212, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7545, scimark_benchmark: 1363.434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 2165.0772, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8247, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.82, scimark_benchmark: 1336.2976, usercpu_time_millis: 13700, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 12470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.809, kappa: 0.6179, kb_relative_information_score: 1882.1228, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 1, recall: 0.809, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8466, scimark_benchmark: 1301.9956, usercpu_time_millis: 1390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.786, kappa: 0.572, kb_relative_information_score: 1825.9726, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.786, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8569, scimark_benchmark: 889.3151, usercpu_time_millis: 1030, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7954, kappa: 0.5908, kb_relative_information_score: 3314.7396, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7955, predictive_accuracy: 0.7954, prior_entropy: 1, recall: 0.7954, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7917, scimark_benchmark: 942.6843, usercpu_time_millis: 3160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7994, kappa: 0.599, kb_relative_information_score: 3248.1223, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8001, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 1384.4418, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8021, kappa: 0.6048, kb_relative_information_score: 3241.9648, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8043, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7938, scimark_benchmark: 925.4974, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8046, kappa: 0.6102, kb_relative_information_score: 3159.616, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8084, predictive_accuracy: 0.8052, prior_entropy: 1, recall: 0.8052, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.7997, scimark_benchmark: 869.6028, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 4549.5058, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6915, scimark_benchmark: 924.3698, usercpu_time_millis: 3220, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 4527.3871, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8263, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.703, scimark_benchmark: 915.9693, usercpu_time_millis: 700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8267, kappa: 0.6535, kb_relative_information_score: 4318.4866, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8272, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7278, scimark_benchmark: 1363.434, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7537, kappa: 0.5075, kb_relative_information_score: 2907.5314, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.754, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 930.5999, usercpu_time_millis: 5170, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 2906.0553, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7547, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8156, scimark_benchmark: 935.5075, usercpu_time_millis: 2790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7536, kappa: 0.5073, kb_relative_information_score: 2905.8616, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7537, predictive_accuracy: 0.7537, prior_entropy: 1, recall: 0.7537, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 1287.514, usercpu_time_millis: 1420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7505, kappa: 0.5009, kb_relative_information_score: 2895.174, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7506, predictive_accuracy: 0.7505, prior_entropy: 1, recall: 0.7505, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8163, scimark_benchmark: 942.9518, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7439, kappa: 0.4877, kb_relative_information_score: 2887.7679, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.744, predictive_accuracy: 0.7439, prior_entropy: 1, recall: 0.7439, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.821, scimark_benchmark: 1336.3256, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7877, kappa: 0.5755, kb_relative_information_score: 3759.5545, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7886, scimark_benchmark: 1321.9426, usercpu_time_millis: 5980, usercpu_time_millis_testing: 5980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7712, kappa: 0.5425, kb_relative_information_score: 3778.5332, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7713, predictive_accuracy: 0.7712, prior_entropy: 1, recall: 0.7712, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8317, scimark_benchmark: 939.5088, usercpu_time_millis: 6890, usercpu_time_millis_testing: 6890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7242, kappa: 0.4719, kb_relative_information_score: 3857.8793, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7831, predictive_accuracy: 0.7355, prior_entropy: 1, recall: 0.7355, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0287, scimark_benchmark: 1304.9611, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5319.92, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8248, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 1333.5799, usercpu_time_millis: 93680, usercpu_time_millis_testing: 8040, usercpu_time_millis_training: 85640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 5327.9202, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8362, scimark_benchmark: 1287.514, usercpu_time_millis: 2760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8257, kappa: 0.6514, kb_relative_information_score: 3131.7843, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8257, predictive_accuracy: 0.8257, prior_entropy: 1, recall: 0.8257, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7888, scimark_benchmark: 938.343, usercpu_time_millis: 1070, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5319.92, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8247, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 942.9518, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8254, kappa: 0.6509, kb_relative_information_score: 3506.6527, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8257, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7601, scimark_benchmark: 935.5075, usercpu_time_millis: 1394020, usercpu_time_millis_testing: 8100, usercpu_time_millis_training: 1385920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8025, kappa: 0.6053, kb_relative_information_score: 2877.4312, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8041, predictive_accuracy: 0.8027, prior_entropy: 1, recall: 0.8027, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8039, scimark_benchmark: 1250.8301, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8068, kappa: 0.6139, kb_relative_information_score: 3139.6319, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.808, predictive_accuracy: 0.807, prior_entropy: 1, recall: 0.807, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 1372.2145, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 4463.5121, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8315, predictive_accuracy: 0.8313, prior_entropy: 1, recall: 0.8313, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6973, scimark_benchmark: 1315.0767, usercpu_time_millis: 6610, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 5660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 4315.892, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7634, predictive_accuracy: 0.7634, prior_entropy: 1, recall: 0.7634, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1313.5726, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8231, kappa: 0.6464, kb_relative_information_score: 4458.3851, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8238, predictive_accuracy: 0.8232, prior_entropy: 1, recall: 0.8232, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7301, scimark_benchmark: 1306.6379, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8233, kappa: 0.6467, kb_relative_information_score: 4193.8334, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8239, predictive_accuracy: 0.8234, prior_entropy: 1, recall: 0.8234, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7389, scimark_benchmark: 1327.6929, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.5366, kappa: 0.1772, kb_relative_information_score: 1471.8128, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6627, predictive_accuracy: 0.5898, prior_entropy: 1, recall: 0.5898, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6404, root_relative_squared_error: 1.2809, scimark_benchmark: 1361.1055, usercpu_time_millis: 10270, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 8700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8221, kappa: 0.6443, kb_relative_information_score: 4301.3847, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8222, predictive_accuracy: 0.8221, prior_entropy: 1, recall: 0.8221, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7235, scimark_benchmark: 1358.4523, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.663, kappa: 0.3266, kb_relative_information_score: 2673.8463, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6638, predictive_accuracy: 0.6632, prior_entropy: 1, recall: 0.6632, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1607, scimark_benchmark: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8107, kappa: 0.6221, kb_relative_information_score: 5097.9138, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.814, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8691, scimark_benchmark: 1353.5686, usercpu_time_millis: 870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4381.0464, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308, scimark_benchmark: 1605.6303, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.826, kappa: 0.6521, kb_relative_information_score: 5326.505, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 1, recall: 0.8261, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.826, scimark_benchmark: 931.2336, usercpu_time_millis: 920, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3982.4726, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7548, scimark_benchmark: 941.7954, usercpu_time_millis: 660, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3982.4726, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7548, scimark_benchmark: 923.7642, usercpu_time_millis: 640, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3982.4726, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7548, scimark_benchmark: 894.7455, usercpu_time_millis: 650, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7635, kappa: 0.5275, kb_relative_information_score: 4043.6994, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7647, predictive_accuracy: 0.7637, prior_entropy: 1, recall: 0.7637, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8688, scimark_benchmark: 911.3823, usercpu_time_millis: 5930, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7552, kappa: 0.5104, kb_relative_information_score: 4092.2438, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7553, predictive_accuracy: 0.7552, prior_entropy: 1, recall: 0.7552, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352, scimark_benchmark: 943.2817, usercpu_time_millis: 2720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7666, kappa: 0.5338, kb_relative_information_score: 4031.9621, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7681, predictive_accuracy: 0.7668, prior_entropy: 1, recall: 0.7668, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8706, scimark_benchmark: 938.2848, usercpu_time_millis: 1320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7638, kappa: 0.5279, kb_relative_information_score: 4063.0134, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7645, predictive_accuracy: 0.7639, prior_entropy: 1, recall: 0.7639, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 922.9039, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7459, kappa: 0.4931, kb_relative_information_score: 3792.7326, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7491, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9281, scimark_benchmark: 938.9865, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7954, kappa: 0.5908, kb_relative_information_score: 3314.7396, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7955, predictive_accuracy: 0.7954, prior_entropy: 1, recall: 0.7954, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7917, scimark_benchmark: 938.4285, usercpu_time_millis: 3310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3300,

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