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: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1288.5212, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1264.8336, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1273.9935, usercpu_time_millis: 0.739, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1290.1943, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1289.5871, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1274.5838, usercpu_time_millis: 0.394, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1289.5911, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1287.2301, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1284.4083, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, 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: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1266.4317, usercpu_time_millis: 0.506, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, 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: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1264.6098, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1266.0886, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1286.8388, usercpu_time_millis: 0.391, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1290.5614, usercpu_time_millis: 0.267, usercpu_time_millis_testing: -0.045, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1284.7046, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, 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: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1284.5096, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, 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: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1267.152, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, 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, scimark_benchmark: 1286.371, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.2556, 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: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1302.8807, usercpu_time_millis: 33.281, usercpu_time_millis_testing: 4.763, usercpu_time_millis_training: 28.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9385, kappa: 0.2607, kb_relative_information_score: 180.8025, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9566, predictive_accuracy: 0.9545, prior_entropy: 0.3037, recall: 0.9545, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.7696, scimark_benchmark: 1336.909, usercpu_time_millis: 15.204, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 13.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9799, kappa: 0.7927, kb_relative_information_score: 2689.3059, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5136, scimark_benchmark: 1331.6734, usercpu_time_millis: 63.489, usercpu_time_millis_testing: 4.486, usercpu_time_millis_training: 59.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9198, kb_relative_information_score: -1438.6389, mean_absolute_error: 0.0877, 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: 0.8584, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.8796, scimark_benchmark: 1330.8097, usercpu_time_millis: 37.313, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 34.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9804, kappa: 0.7981, kb_relative_information_score: 2792.1966, mean_absolute_error: 0.0332, 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: 0.3246, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.507, scimark_benchmark: 1327.3209, usercpu_time_millis: 26.285, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 25.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9819, kappa: 0.8152, kb_relative_information_score: 2743.4783, mean_absolute_error: 0.032, 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: 0.3129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5083, scimark_benchmark: 1329.0883, usercpu_time_millis: 51.612, usercpu_time_millis_testing: 2.698, usercpu_time_millis_training: 48.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9846, kappa: 0.8464, kb_relative_information_score: 3084.686, mean_absolute_error: 0.0254, 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: 0.2489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4736, scimark_benchmark: 1320.5485, usercpu_time_millis: 161, usercpu_time_millis_testing: 6.493, usercpu_time_millis_training: 154.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9773, kappa: 0.7637, kb_relative_information_score: 2318.3388, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9777, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.5433, scimark_benchmark: 1327.2769, usercpu_time_millis: 71.748, usercpu_time_millis_testing: 5.073, usercpu_time_millis_training: 66.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9698, kappa: 0.6825, kb_relative_information_score: 1411.3342, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.6478, scimark_benchmark: 1296.7468, usercpu_time_millis: 97.575, usercpu_time_millis_testing: 7.225, usercpu_time_millis_training: 90.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.981, kappa: 0.8044, kb_relative_information_score: 2812.973, mean_absolute_error: 0.0333, 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: 0.3254, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5068, scimark_benchmark: 1292.2625, usercpu_time_millis: 147.913, usercpu_time_millis_testing: 9.105, usercpu_time_millis_training: 138.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9828, kappa: 0.8247, kb_relative_information_score: 2910.15, mean_absolute_error: 0.0299, 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: 0.2922, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4889, scimark_benchmark: 1333.1667, usercpu_time_millis: 75.26, usercpu_time_millis_testing: 4.091, usercpu_time_millis_training: 71.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9198, kb_relative_information_score: -79.3092, 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: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1308.3749, usercpu_time_millis: 3.823, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 3.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9659, kappa: 0.6294, kb_relative_information_score: 820.0839, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.7233, scimark_benchmark: 1293.2794, usercpu_time_millis: 10.283, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 9.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9458, kappa: 0.3618, kb_relative_information_score: 431.2953, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.3037, recall: 0.958, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.7604, scimark_benchmark: 1272.3898, usercpu_time_millis: 95.329, usercpu_time_millis_testing: 7.515, usercpu_time_millis_training: 87.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9636, kappa: 0.5932, kb_relative_information_score: 1356.1917, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 0.3037, recall: 0.9692, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.6627, scimark_benchmark: 1293.0953, usercpu_time_millis: 11.262, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 10.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9511, kappa: 0.4344, kb_relative_information_score: 490.8278, mean_absolute_error: 0.0706, 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: 0.6903, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.753, scimark_benchmark: 1297.9981, usercpu_time_millis: 14.09, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 12.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.9198, kb_relative_information_score: -1430.6015, 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: 0.1999, root_relative_squared_error: 0.8848, scimark_benchmark: 1319.7412, usercpu_time_millis: 83.726, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 78.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: -38.9584, 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: 0.9996, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1322.2268, usercpu_time_millis: 5.595, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 5.115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9833, kappa: 0.8356, kb_relative_information_score: 3095.4246, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.4936, scimark_benchmark: 1311.5748, usercpu_time_millis: 244.085, usercpu_time_millis_testing: 8.01, usercpu_time_millis_training: 236.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9821, kappa: 0.8204, kb_relative_information_score: 2473.7904, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.538, scimark_benchmark: 1283.8362, usercpu_time_millis: 5.464, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 5.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9823, kappa: 0.8244, kb_relative_information_score: 2728.4027, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9821, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.5231, scimark_benchmark: 1279.2777, usercpu_time_millis: 114.658, usercpu_time_millis_testing: 4.726, usercpu_time_millis_training: 109.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9811, kappa: 0.8072, kb_relative_information_score: 3000.4105, mean_absolute_error: 0.0288, 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: 0.2818, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5007, scimark_benchmark: 1315.7887, usercpu_time_millis: 33.826, usercpu_time_millis_testing: 1.542, usercpu_time_millis_training: 32.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9703, kappa: 0.6853, kb_relative_information_score: 1819.5801, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9711, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.606, scimark_benchmark: 1314.6474, usercpu_time_millis: 86.694, usercpu_time_millis_testing: 5.101, usercpu_time_millis_training: 81.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9198, kb_relative_information_score: -2208.5878, mean_absolute_error: 0.0918, 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: 0.8985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.9132, scimark_benchmark: 1319.3508, usercpu_time_millis: 71.752, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 66.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9535, kappa: 0.4653, kb_relative_information_score: 639.7787, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.3037, recall: 0.9624, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.7361, scimark_benchmark: 1287.3809, usercpu_time_millis: 60.164, usercpu_time_millis_testing: 4.535, usercpu_time_millis_training: 55.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.963, kappa: 0.5857, kb_relative_information_score: 1687.3218, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.969, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.6572, scimark_benchmark: 1309.2994, usercpu_time_millis: 43.194, usercpu_time_millis_testing: 4.284, usercpu_time_millis_training: 38.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9791, kappa: 0.7846, kb_relative_information_score: 2276.39, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5534, scimark_benchmark: 1315.6497, usercpu_time_millis: 2.569, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 2.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9643, kappa: 0.6027, kb_relative_information_score: 1500.9094, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.6453, scimark_benchmark: 1270.8226, usercpu_time_millis: 48.931, usercpu_time_millis_testing: 3.032, usercpu_time_millis_training: 45.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9725, kappa: 0.7026, kb_relative_information_score: 2350.1105, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.576, scimark_benchmark: 1289.5972, usercpu_time_millis: 93.089, usercpu_time_millis_testing: 6.83, usercpu_time_millis_training: 86.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9835, kappa: 0.8368, kb_relative_information_score: 3276.3762, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5001, scimark_benchmark: 1314.5453, usercpu_time_millis: 129.307, usercpu_time_millis_testing: 4.47, usercpu_time_millis_training: 124.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9198, kb_relative_information_score: -1430.6632, mean_absolute_error: 0.0948, 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: 0.9278, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9376, scimark_benchmark: 1318.9017, usercpu_time_millis: 20.392, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 18.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9764, kappa: 0.7496, kb_relative_information_score: 2398.0183, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.978, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.5546, scimark_benchmark: 1307.1496, usercpu_time_millis: 40.904, usercpu_time_millis_testing: 2.941, usercpu_time_millis_training: 37.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9802, kappa: 0.7948, kb_relative_information_score: 2738.6852, mean_absolute_error: 0.0334, 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: 0.3272, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5103, scimark_benchmark: 1320.4099, usercpu_time_millis: 56.254, usercpu_time_millis_testing: 4.227, usercpu_time_millis_training: 52.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9198, kb_relative_information_score: -7.742, 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: 0.9985, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1315.5996, usercpu_time_millis: 3.723, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 3.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9688, kappa: 0.6785, kb_relative_information_score: 1811.4239, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9683, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.6355, scimark_benchmark: 1276.343, usercpu_time_millis: 93.393, usercpu_time_millis_testing: 5.134, usercpu_time_millis_training: 88.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9198, kb_relative_information_score: -1627.4094, mean_absolute_error: 0.088, 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: 0.861, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.8829, scimark_benchmark: 1317.8397, usercpu_time_millis: 75.844, usercpu_time_millis_testing: 6.63, usercpu_time_millis_training: 69.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9709, kappa: 0.6936, kb_relative_information_score: 1304.5941, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.658, scimark_benchmark: 1319.5187, usercpu_time_millis: 79.276, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 74.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9759, kappa: 0.7567, kb_relative_information_score: 2121.7484, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.5732, scimark_benchmark: 1314.0712, usercpu_time_millis: 14.913, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 14.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9752, kappa: 0.7374, kb_relative_information_score: 2193.2433, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5617, scimark_benchmark: 1298.185, usercpu_time_millis: 208.687, usercpu_time_millis_testing: 9.713, usercpu_time_millis_training: 198.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9758, kappa: 0.7527, kb_relative_information_score: 2087.8102, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5674, scimark_benchmark: 1315.0405, usercpu_time_millis: 130.662, usercpu_time_millis_testing: 6.422, usercpu_time_millis_training: 124.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9716, kappa: 0.7052, kb_relative_information_score: 1838.1167, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.137, root_relative_squared_error: 0.6066, scimark_benchmark: 1313.4031, usercpu_time_millis: 26.819, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 25.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9833, kappa: 0.8311, kb_relative_information_score: 2915.2194, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4821, scimark_benchmark: 1302.537, usercpu_time_millis: 80.155, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 75.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9782, kappa: 0.7719, kb_relative_information_score: 2574.9142, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5345, scimark_benchmark: 1293.5591, usercpu_time_millis: 10.361, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 9.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9831, kappa: 0.8292, kb_relative_information_score: 2845.6242, mean_absolute_error: 0.03, 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: 0.2933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4904, scimark_benchmark: 1320.9966, usercpu_time_millis: 190.474, usercpu_time_millis_testing: 7.898, usercpu_time_millis_training: 182.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.9198, kb_relative_information_score: -1975.2351, mean_absolute_error: 0.099, 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: 0.9686, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9738, scimark_benchmark: 1317.4962, usercpu_time_millis: 56.468, usercpu_time_millis_testing: 4.831, usercpu_time_millis_training: 51.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9837, kappa: 0.8361, kb_relative_information_score: 3154.4134, mean_absolute_error: 0.0253, 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: 0.2477, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.4842, scimark_benchmark: 1314.9796, usercpu_time_millis: 60.902, usercpu_time_millis_testing: 2.484, usercpu_time_millis_training: 58.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.948, kappa: 0.3929, kb_relative_information_score: 334.4311, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.958, predictive_accuracy: 0.9591, prior_entropy: 0.3037, recall: 0.9591, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.7598, scimark_benchmark: 1315.2095, usercpu_time_millis: 75.753, usercpu_time_millis_testing: 5.89, usercpu_time_millis_training: 69.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9452, kappa: 0.3532, kb_relative_information_score: 325.3955, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9582, predictive_accuracy: 0.9578, prior_entropy: 0.3037, recall: 0.9578, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.174, root_relative_squared_error: 0.7703, scimark_benchmark: 1322.8621, usercpu_time_millis: 91.145, usercpu_time_millis_testing: 7.406, usercpu_time_millis_training: 83.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.9198, kb_relative_information_score: -2448.1687, mean_absolute_error: 0.099, 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: 0.9684, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9739, scimark_benchmark: 1315.9455, usercpu_time_millis: 24.664, usercpu_time_millis_testing: 2.198, usercpu_time_millis_training: 22.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9763, kappa: 0.7537, kb_relative_information_score: 2230.5718, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5486, scimark_benchmark: 1292.9659, usercpu_time_millis: 68.016, usercpu_time_millis_testing: 4.635, usercpu_time_millis_training: 63.381,

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