OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9641, kappa: 0.6008, kb_relative_information_score: 1454.1562, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.6573, scimark_benchmark: 1766.6696, usercpu_time_millis: 17.516, usercpu_time_millis_testing: 1.98, usercpu_time_millis_training: 15.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9804, kappa: 0.7981, kb_relative_information_score: 2481.828, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.5297, scimark_benchmark: 1750.3787, usercpu_time_millis: 17.856, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 16.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9198, kb_relative_information_score: -2370.3481, mean_absolute_error: 0.0869, 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: 0.8499, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.8748, scimark_benchmark: 1683.3187, usercpu_time_millis: 16.112, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 15.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9749, kappa: 0.7333, kb_relative_information_score: 2181.3953, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9762, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5674, scimark_benchmark: 1857.4263, usercpu_time_millis: 34.108, usercpu_time_millis_testing: 2.806, usercpu_time_millis_training: 31.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9683, kappa: 0.6617, kb_relative_information_score: 1473.4643, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6458, scimark_benchmark: 1850.4289, usercpu_time_millis: 26.859, usercpu_time_millis_testing: 1.909, usercpu_time_millis_training: 24.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9815, kappa: 0.8116, kb_relative_information_score: 2807.6828, mean_absolute_error: 0.0308, 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: 0.3008, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.498, scimark_benchmark: 1731.6557, usercpu_time_millis: 18.278, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 16.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.965, kappa: 0.6227, kb_relative_information_score: 740.5758, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9662, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.7366, scimark_benchmark: 1748.2947, usercpu_time_millis: 17.963, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 16.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9527, kappa: 0.4523, kb_relative_information_score: 671.2481, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9627, predictive_accuracy: 0.9622, prior_entropy: 0.3037, recall: 0.9622, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.7379, scimark_benchmark: 1811.8175, usercpu_time_millis: 11.785, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 10.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9634, kappa: 0.5915, kb_relative_information_score: 1446.0813, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.3037, recall: 0.969, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6603, scimark_benchmark: 1765.6823, usercpu_time_millis: 20.06, usercpu_time_millis_testing: 2.28, usercpu_time_millis_training: 17.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9719, kappa: 0.6985, kb_relative_information_score: 2032.9766, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.5858, scimark_benchmark: 1952.823, usercpu_time_millis: 20.561, usercpu_time_millis_testing: 1.799, usercpu_time_millis_training: 18.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9433, kappa: 0.3279, kb_relative_information_score: 417.5443, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9571, predictive_accuracy: 0.9568, prior_entropy: 0.3037, recall: 0.9568, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.7628, scimark_benchmark: 1726.8211, usercpu_time_millis: 10.244, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 8.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9743, kappa: 0.7414, kb_relative_information_score: 2133.6033, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.6, scimark_benchmark: 1785.8645, usercpu_time_millis: 16.818, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 16.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9198, kb_relative_information_score: -1640.8567, mean_absolute_error: 0.0887, 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: 0.8674, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2, root_relative_squared_error: 0.8853, scimark_benchmark: 1736.5877, usercpu_time_millis: 11.781, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 10.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9733, kappa: 0.7171, kb_relative_information_score: 2103.6611, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5692, scimark_benchmark: 1830.275, usercpu_time_millis: 12.632, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 11.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9706, kappa: 0.6826, kb_relative_information_score: 1920.1067, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9728, predictive_accuracy: 0.9738, prior_entropy: 0.3037, recall: 0.9738, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.5968, scimark_benchmark: 1745.8407, usercpu_time_millis: 21.027, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 19.046,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9673, kappa: 0.6416, kb_relative_information_score: 1777.839, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.6169, scimark_benchmark: 1732.1062, usercpu_time_millis: 18.718, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 16.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9705, kappa: 0.6902, kb_relative_information_score: 1333.778, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561, scimark_benchmark: 1750.3787, usercpu_time_millis: 14.562, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 13.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 3130.5201, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4866, scimark_benchmark: 1760.2818, usercpu_time_millis: 9.085, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9668, kappa: 0.647, kb_relative_information_score: 1065.86, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9673, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.7016, scimark_benchmark: 1728.0127, usercpu_time_millis: 24.483, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 22.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9639, kappa: 0.6053, kb_relative_information_score: 806.7185, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9662, predictive_accuracy: 0.9684, prior_entropy: 0.3037, recall: 0.9684, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.7269, scimark_benchmark: 1734.0293, usercpu_time_millis: 5.193, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 4.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9832, kappa: 0.8332, kb_relative_information_score: 2905.9496, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.486, scimark_benchmark: 1939.7456, usercpu_time_millis: 11.24, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 10.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9538, kappa: 0.4697, kb_relative_information_score: 692.5584, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9619, predictive_accuracy: 0.9626, prior_entropy: 0.3037, recall: 0.9626, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.7317, scimark_benchmark: 1735.6743, usercpu_time_millis: 12.782, usercpu_time_millis_testing: 1.328, usercpu_time_millis_training: 11.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9634, kappa: 0.5939, kb_relative_information_score: 1315.5438, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.9686, prior_entropy: 0.3037, recall: 0.9686, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.6633, scimark_benchmark: 1734.8287, usercpu_time_millis: 20.306, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 18.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9673, kappa: 0.6416, kb_relative_information_score: 1827.247, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.6132, scimark_benchmark: 1987.6253, usercpu_time_millis: 16.287, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 14.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.965, kappa: 0.6174, kb_relative_information_score: 934.2559, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9672, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.7026, scimark_benchmark: 1726.7256, usercpu_time_millis: 23.284, usercpu_time_millis_testing: 2.134, usercpu_time_millis_training: 21.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9545, kappa: 0.4771, kb_relative_information_score: 645.4705, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 0.3037, recall: 0.9632, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.7362, scimark_benchmark: 1770.61, usercpu_time_millis: 21.125, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 18.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.031, 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: 1717.342, usercpu_time_millis: 2.306, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9824, kappa: 0.8263, kb_relative_information_score: 3140.5872, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.5059, scimark_benchmark: 1771.7999, usercpu_time_millis: 7.484, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 7.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9695, kappa: 0.6827, kb_relative_information_score: 1293.1282, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.9715, prior_entropy: 0.3037, recall: 0.9715, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.6541, scimark_benchmark: 1811.8175, usercpu_time_millis: 9.086, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 8.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9734, kappa: 0.7278, kb_relative_information_score: 2025.2566, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.973, predictive_accuracy: 0.9746, prior_entropy: 0.3037, recall: 0.9746, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.5855, scimark_benchmark: 1737.2731, usercpu_time_millis: 43.45, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 40.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9448, kappa: 0.3482, kb_relative_information_score: 352.1541, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.958, predictive_accuracy: 0.9576, prior_entropy: 0.3037, recall: 0.9576, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.7672, scimark_benchmark: 1745.3654, usercpu_time_millis: 11.038, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 9.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9827, kappa: 0.8277, kb_relative_information_score: 3176.3578, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4909, scimark_benchmark: 1890.8484, usercpu_time_millis: 21.511, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 20.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9198, kb_relative_information_score: -2188.4627, mean_absolute_error: 0.0885, 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: 0.8659, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.8872, scimark_benchmark: 1757.7274, usercpu_time_millis: 12.007, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 11.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9682, kappa: 0.6561, kb_relative_information_score: 1557.2755, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.143, root_relative_squared_error: 0.6331, scimark_benchmark: 1737.6197, usercpu_time_millis: 6.105, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 5.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.982, kappa: 0.8167, kb_relative_information_score: 2477.9573, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.5276, scimark_benchmark: 1736.4302, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.414,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9198, kb_relative_information_score: -809.2142, mean_absolute_error: 0.0811, 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: 0.7938, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.83, scimark_benchmark: 1746.4679, usercpu_time_millis: 5.433, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 4.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9198, kb_relative_information_score: -485.7141, mean_absolute_error: 0.0849, 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: 0.8307, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.8547, scimark_benchmark: 1818.1551, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9837, kappa: 0.8386, kb_relative_information_score: 2934.1221, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4883, scimark_benchmark: 1714.4565, usercpu_time_millis: 51.486, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 49.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9691, kappa: 0.6781, kb_relative_information_score: 1204.0683, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.6678, scimark_benchmark: 1809.0058, usercpu_time_millis: 19.534, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 18.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9198, kb_relative_information_score: -1453.8329, mean_absolute_error: 0.0916, 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: 0.896, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.206, root_relative_squared_error: 0.9121, scimark_benchmark: 1785.9178, usercpu_time_millis: 8.8, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 7.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9675, kappa: 0.6521, kb_relative_information_score: 1016.7044, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9684, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.7061, scimark_benchmark: 1743.5492, usercpu_time_millis: 20.922, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 19.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9198, kb_relative_information_score: -1108.2679, mean_absolute_error: 0.0995, 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: 0.9736, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9764, scimark_benchmark: 1718.2966, usercpu_time_millis: 4.571, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 4.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9396, kappa: 0.2761, kb_relative_information_score: 347.0508, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 0.3037, recall: 0.9549, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.7729, scimark_benchmark: 1794.645, usercpu_time_millis: 4.968, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 4.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9696, kappa: 0.67, kb_relative_information_score: 2153.9392, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.134, root_relative_squared_error: 0.5934, scimark_benchmark: 1772.2803, usercpu_time_millis: 26.378, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 23.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9577, kappa: 0.5199, kb_relative_information_score: 803.9206, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.3037, recall: 0.9651, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.163, root_relative_squared_error: 0.7215, scimark_benchmark: 1814.9727, usercpu_time_millis: 26.368, usercpu_time_millis_testing: 2.677, usercpu_time_millis_training: 23.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9809, kappa: 0.8049, kb_relative_information_score: 2773.6024, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.981, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.506, scimark_benchmark: 1830.2126, usercpu_time_millis: 23.891, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 22.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9198, kb_relative_information_score: -1064.1939, mean_absolute_error: 0.0909, 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: 0.8893, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.204, root_relative_squared_error: 0.9031, scimark_benchmark: 1775.3463, usercpu_time_millis: 6.936, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 6.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9843, kappa: 0.8439, kb_relative_information_score: 3104.459, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.477, scimark_benchmark: 1791.5413, usercpu_time_millis: 53.713, usercpu_time_millis_testing: 2.213, usercpu_time_millis_training: 51.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 857.9921, mean_absolute_error: 0.0588, 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: 0.5755, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.723, scimark_benchmark: 1731.1032, usercpu_time_millis: 12.997, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 12.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.8012, kb_relative_information_score: 2746.6526, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5066, scimark_benchmark: 1725.9313, usercpu_time_millis: 16.072, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 14.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: -273.8342, mean_absolute_error: 0.1019, 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: 0.9973, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1.0001, scimark_benchmark: 1729.1121, usercpu_time_millis: 0.137, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9691, kappa: 0.6781, kb_relative_information_score: 1159.7573, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.675, scimark_benchmark: 1722.7167, usercpu_time_millis: 26.012, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 24.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9198, kb_relative_information_score: -1157.633, mean_absolute_error: 0.0914, 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: 0.8945, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.9068, scimark_benchmark: 1825.6529, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9511, kappa: 0.4344, kb_relative_information_score: 422.5693, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9601, predictive_accuracy: 0.9609, prior_entropy: 0.3037, recall: 0.9609, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.7621, scimark_benchmark: 1776.972, usercpu_time_millis: 17.86, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 16.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9686, kappa: 0.6735, kb_relative_information_score: 1257.7565, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.6724, scimark_benchmark: 1720.4883, usercpu_time_millis: 35.019, usercpu_time_millis_testing: 2.632, usercpu_time_millis_training: 32.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.9716, kappa: 0.7201, kb_relative_information_score: 2673.6148, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.7339, scimark_benchmark: 1807.3084, usercpu_time_millis: 0.266, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9198, kb_relative_information_score: -1546.4809, mean_absolute_error: 0.0986, 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: 0.9646, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9697, scimark_benchmark: 1746.015, usercpu_time_millis: 7.332, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 6.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9198, kb_relative_information_score: -1383.6301, mean_absolute_error: 0.0887, 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: 0.8674, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2, root_relative_squared_error: 0.8853, scimark_benchmark: 1757.9037, usercpu_time_millis: 19.032, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 17.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9691, kappa: 0.6795, kb_relative_information_score: 1361.6603, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.6557, scimark_benchmark: 1734.3224, usercpu_time_millis: 19.291, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 18.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9816, kappa: 0.8119, kb_relative_information_score: 2739.3579, mean_absolute_error: 0.0327, 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: 0.32, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.508, scimark_benchmark: 1727.575, usercpu_time_millis: 29.846, usercpu_time_millis_testing: 1.95, usercpu_time_millis_training: 27.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9708, kappa: 0.682, kb_relative_information_score: 2119.4811, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.5963, scimark_benchmark: 1737.4866, usercpu_time_millis: 25.145, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 22.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9696, kappa: 0.67, kb_relative_information_score: 2159.6482, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.5919, scimark_benchmark: 1750.2178, usercpu_time_millis: 23.14, usercpu_time_millis_testing: 2.262, usercpu_time_millis_training: 20.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9808, kappa: 0.8096, kb_relative_information_score: 2354.7947, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5519, scimark_benchmark: 1827.3336, usercpu_time_millis: 7.68, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 7.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9198, kb_relative_information_score: -1089.3797, mean_absolute_error: 0.0995, 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: 0.9732, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.9767, scimark_benchmark: 1716.9447, usercpu_time_millis: 9.638, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 8.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9339, kappa: 0.1973, kb_relative_information_score: 121.8952, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9546, predictive_accuracy: 0.9523, prior_entropy: 0.3037, recall: 0.9523, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.7805, scimark_benchmark: 1782.4099, usercpu_time_millis: 15.303, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 14.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9664, kappa: 0.6377, kb_relative_information_score: 843.9227, mean_absolute_error: 0.0643, 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: 0.629, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.73, scimark_benchmark: 1747.0841, usercpu_time_millis: 22.136, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 21.046,

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