Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59007 runs submitted
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59007 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9702, kappa: 0.6972, kb_relative_information_score: 1809.1012, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9696, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9839, kappa: 0.8385, kb_relative_information_score: 3279.6652, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9572, kappa: 0.5099, kb_relative_information_score: 838.4485, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.9797, kappa: 0.8016, kb_relative_information_score: 3266.1497, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.5911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8521, kappa: 0.2318, kb_relative_information_score: -14970.2862, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.942, predictive_accuracy: 0.8004, prior_entropy: 0.3037, recall: 0.8004, relative_absolute_error: 2.0764, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9302, kappa: 0.3538, kb_relative_information_score: -1348.7617, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9345, predictive_accuracy: 0.9264, prior_entropy: 0.3037, recall: 0.9264, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2277, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 3736.1531, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -2038.3917, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9744, kappa: 0.7273, kb_relative_information_score: 2870.9141, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9744, kappa: 0.7273, kb_relative_information_score: 2870.9141, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -13161.0366, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 1.6937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2756, root_relative_squared_error: 1.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9492, kappa: 0.4101, kb_relative_information_score: 158.1116, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9583, predictive_accuracy: 0.9597, prior_entropy: 0.3037, recall: 0.9597, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -14.441, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9825, kappa: 0.8253, kb_relative_information_score: 3255.9098, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9198, kb_relative_information_score: 481.5978, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -14.441, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.9381, kappa: 0.2678, kb_relative_information_score: -992.4413, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9452, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9929, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.9381, kappa: 0.2678, kb_relative_information_score: -992.4413, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9452, predictive_accuracy: 0.9527, prior_entropy: 0.3037, recall: 0.9527, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.981, kappa: 0.813, kb_relative_information_score: 3406.7482, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9097, kappa: 0.3024, kb_relative_information_score: -13161.1823, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.934, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 1.694, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2756, root_relative_squared_error: 1.2201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.9275, kappa: 0.1127, kb_relative_information_score: -2242.9776, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9398, predictive_accuracy: 0.9485, prior_entropy: 0.3037, recall: 0.9485, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.9098, kappa: 0.3041, kb_relative_information_score: -13161.0366, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9342, predictive_accuracy: 0.8925, prior_entropy: 0.3037, recall: 0.8925, relative_absolute_error: 1.6937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2756, root_relative_squared_error: 1.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9842, kappa: 0.841, kb_relative_information_score: 3147.8685, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.9281, kappa: 0.1198, kb_relative_information_score: -1810.4019, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9425, predictive_accuracy: 0.949, prior_entropy: 0.3037, recall: 0.949, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9206, kappa: 0.3356, kb_relative_information_score: -12191.0769, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.935, predictive_accuracy: 0.9099, prior_entropy: 0.3037, recall: 0.9099, relative_absolute_error: 1.5929, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2634, root_relative_squared_error: 1.1661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.981, kappa: 0.813, kb_relative_information_score: 3406.7482, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9835, kappa: 0.8362, kb_relative_information_score: 2881.0493, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.4997, scimark_benchmark: 1736.2898, usercpu_time_millis: 53.279, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 51.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9844, kappa: 0.8445, kb_relative_information_score: 3113.9692, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.4747, scimark_benchmark: 1746.226, usercpu_time_millis: 41.278, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 39.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9691, kappa: 0.6758, kb_relative_information_score: 1284.435, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.15, root_relative_squared_error: 0.6642, scimark_benchmark: 1746.1041, usercpu_time_millis: 28.178, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 26.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9764, kappa: 0.7509, kb_relative_information_score: 2245.4912, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5586, scimark_benchmark: 1776.5013, usercpu_time_millis: 24.974, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 23.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 816.0476, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.7195, scimark_benchmark: 1782.421, usercpu_time_millis: 25.922, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 25.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9803, kappa: 0.7956, kb_relative_information_score: 2588.373, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.5176, scimark_benchmark: 1750.178, usercpu_time_millis: 26.699, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 25.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9762, kappa: 0.764, kb_relative_information_score: 2141.1629, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.6001, scimark_benchmark: 1747.5976, usercpu_time_millis: 23.836, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 23.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9807, kappa: 0.801, kb_relative_information_score: 2842.1386, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5088, scimark_benchmark: 1988.1078, usercpu_time_millis: 20.775, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 19.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9827, kappa: 0.8271, kb_relative_information_score: 2541.8759, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9825, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5319, scimark_benchmark: 1743.2043, usercpu_time_millis: 21.386, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 20.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9684, kappa: 0.674, kb_relative_information_score: 838.2206, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.7133, scimark_benchmark: 1742.0962, usercpu_time_millis: 18.971, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 18.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 3209.4745, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.111, root_relative_squared_error: 0.4914, scimark_benchmark: 1784.8418, usercpu_time_millis: 19.288, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 18.606,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9751, kappa: 0.7352, kb_relative_information_score: 2192.4052, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5631, scimark_benchmark: 1764.9109, usercpu_time_millis: 32.033, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 30.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9841, kappa: 0.8409, kb_relative_information_score: 3087.2673, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.4741, scimark_benchmark: 1770.9412, usercpu_time_millis: 28.581, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 27.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9812, kappa: 0.8082, kb_relative_information_score: 2871.7525, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5021, scimark_benchmark: 1733.6832, usercpu_time_millis: 24.727, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 23.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9686, kappa: 0.6636, kb_relative_information_score: 1629.8548, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.6261, scimark_benchmark: 1773.9544, usercpu_time_millis: 19.124, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 17.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9846, kappa: 0.8458, kb_relative_information_score: 3146.0899, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4761, scimark_benchmark: 1744.1084, usercpu_time_millis: 20.831, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 20.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.971, kappa: 0.694, kb_relative_information_score: 1416.8616, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6366, scimark_benchmark: 1756.0463, usercpu_time_millis: 18.168, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 17.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9823, kappa: 0.8189, kb_relative_information_score: 2848.146, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4943, scimark_benchmark: 1763.4482, usercpu_time_millis: 16.295, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 15.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9682, kappa: 0.6737, kb_relative_information_score: 1300.539, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6737, scimark_benchmark: 1756.1533, usercpu_time_millis: 18.99, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 18.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 2820.3543, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.494, scimark_benchmark: 1739.4775, usercpu_time_millis: 13.6, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 13.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9642, kappa: 0.6006, kb_relative_information_score: 1523.5237, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6514, scimark_benchmark: 1002.2644, usercpu_time_millis: 13.185, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 11.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9576, kappa: 0.5298, kb_relative_information_score: 557.672, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.96, predictive_accuracy: 0.9636, prior_entropy: 0.3037, recall: 0.9636, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.7557, scimark_benchmark: 1765.8261, usercpu_time_millis: 13.452, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 12.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9713, kappa: 0.6894, kb_relative_information_score: 2064.885, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.5903, scimark_benchmark: 1730.9146, usercpu_time_millis: 9.193, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 8.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 4.7191, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1003.0065, usercpu_time_millis: 10.236, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 8.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9685, kappa: 0.6622, kb_relative_information_score: 1516.8396, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9698, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.6383, scimark_benchmark: 1737.7751, usercpu_time_millis: 7.787, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 7.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9198, kb_relative_information_score: -1371.7557, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9497, scimark_benchmark: 1755.648, usercpu_time_millis: 8.187, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 7.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9774, kappa: 0.7645, kb_relative_information_score: 2578.284, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9779, predictive_accuracy: 0.9789, prior_entropy: 0.3037, recall: 0.9789, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5317, scimark_benchmark: 1779.3331, usercpu_time_millis: 6.117, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 5.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9198, kb_relative_information_score: -8.684, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1739.4775, usercpu_time_millis: 6.203, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 5.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9827, kappa: 0.8249, kb_relative_information_score: 2613.4266, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3157, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5133, scimark_benchmark: 1756.666, usercpu_time_millis: 5.632, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 5.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9837, kappa: 0.8367, kb_relative_information_score: 3198.7113, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4883, scimark_benchmark: 1747.1377, usercpu_time_millis: 48.843, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 46.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9848, kappa: 0.8476, kb_relative_information_score: 3029.258, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4766, scimark_benchmark: 1869.2422, usercpu_time_millis: 33.3, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 31.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9816, kappa: 0.8112, kb_relative_information_score: 2610.8051, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.5157, scimark_benchmark: 1748.8645, usercpu_time_millis: 27.542, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 26.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9813, kappa: 0.807, kb_relative_information_score: 2856.0779, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5068, scimark_benchmark: 1838.2358, usercpu_time_millis: 21.323, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 20.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9722, kappa: 0.7037, kb_relative_information_score: 1874.5974, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.5986, scimark_benchmark: 1809.4645, usercpu_time_millis: 19.099, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 17.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9694, kappa: 0.6833, kb_relative_information_score: 1312.184, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.6516, scimark_benchmark: 1805.0933, usercpu_time_millis: 17.689, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 17.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9689, kappa: 0.6731, kb_relative_information_score: 996.7878, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7054, scimark_benchmark: 1868.7112, usercpu_time_millis: 16.923, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 16.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9684, kappa: 0.6551, kb_relative_information_score: 1974.9072, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9716, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.6017, scimark_benchmark: 1869.6309, usercpu_time_millis: 9.911, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 9.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9829, kappa: 0.8261, kb_relative_information_score: 3014.3835, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4843, scimark_benchmark: 1864.5074, usercpu_time_millis: 5.778, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 5.436,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs