Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 9946 Supervised Classification wdbc 147945 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 483.9271, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 486.1462, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5133, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 498.421, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4614, scimark_benchmark: 1241.5236, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8955, kappa: 0.7733, kb_relative_information_score: 438.7368, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9031, predictive_accuracy: 0.8981, prior_entropy: 0.953, recall: 0.8981, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6509, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 486.1462, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5133, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.881, kappa: 0.7435, kb_relative_information_score: 370.2851, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8819, predictive_accuracy: 0.8823, prior_entropy: 0.953, recall: 0.8823, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6707, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9296, kappa: 0.8491, kb_relative_information_score: 481.6345, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.529, scimark_benchmark: 473.1656, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9527, kappa: 0.899, kb_relative_information_score: 508.1679, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4366, scimark_benchmark: 1254.1389, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 483.9271, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5129, scimark_benchmark: 473.1656, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 512.2798, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4327, scimark_benchmark: 473.1656, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 522.3859, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.373, scimark_benchmark: 1237.8253, usercpu_time_millis: 3590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 486.1462, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5133, scimark_benchmark: 1246.8335, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9162, kappa: 0.8223, kb_relative_information_score: 438.5783, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9183, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.527, scimark_benchmark: 1157.1856, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 512.2798, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4327, scimark_benchmark: 1228.6304, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9754, kappa: 0.9473, kb_relative_information_score: 523.8185, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2907, scimark_benchmark: 1253.4442, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 498.9946, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3875, scimark_benchmark: 1205.1805, usercpu_time_millis: 11920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9683, kappa: 0.9321, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679, usercpu_time_millis: 27.185, usercpu_time_millis_testing: 3.159, usercpu_time_millis_training: 24.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.5552, kappa: 0.11, kb_relative_information_score: 144.2744, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.7798, predictive_accuracy: 0.6608, prior_entropy: 0.953, recall: 0.6608, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.2046, usercpu_time_millis: 2.155, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8972, kappa: 0.7786, kb_relative_information_score: 441.2226, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8978, predictive_accuracy: 0.8981, prior_entropy: 0.953, recall: 0.8981, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6603, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9475, kappa: 0.8883, kb_relative_information_score: 502.8119, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9484, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749, usercpu_time_millis: 1.202, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 513.81, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335, usercpu_time_millis: 7.466, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 7.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.933, kappa: 0.8563, kb_relative_information_score: 485.215, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505, usercpu_time_millis: 21.345, usercpu_time_millis_testing: 3.581, usercpu_time_millis_training: 17.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5217, kappa: -0.0021, kb_relative_information_score: 69.4875, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5306, predictive_accuracy: 0.6011, prior_entropy: 0.953, recall: 0.6011, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6316, root_relative_squared_error: 1.3064, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9718, kappa: 0.9395, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468, usercpu_time_millis: 2.008, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4838, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.97, kappa: 0.9354, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9706, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3575, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468, usercpu_time_millis: 131.22, usercpu_time_millis_testing: 6.842, usercpu_time_millis_training: 124.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 513.81, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335, usercpu_time_millis: 2.35, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.97, kappa: 0.9355, kb_relative_information_score: 531.4069, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3575, usercpu_time_millis: 2.728, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 2.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9555, kappa: 0.9041, kb_relative_information_score: 513.81, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335, usercpu_time_millis: 1.091, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9664, kappa: 0.9278, kb_relative_information_score: 527.0077, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.967, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779, usercpu_time_millis: 0.422, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 487.4146, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5274, usercpu_time_millis: 2.89, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 1.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.942, kappa: 0.8758, kb_relative_information_score: 496.213, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4981, usercpu_time_millis: 3.152, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 2.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9471, kappa: 0.8864, kb_relative_information_score: 502.8119, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9555, kappa: 0.9041, kb_relative_information_score: 513.81, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4335, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9806, kappa: 0.9585, kb_relative_information_score: 544.6046, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9807, predictive_accuracy: 0.9807, prior_entropy: 0.953, recall: 0.9807, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2876, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9237, kappa: 0.8357, kb_relative_information_score: 474.2169, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9248, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5686, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9475, kappa: 0.8883, kb_relative_information_score: 502.8119, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9484, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9718, kappa: 0.9395, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468, usercpu_time_millis: 3.51, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 3.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973, usercpu_time_millis: 0.632, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9574, kappa: 0.9082, kb_relative_information_score: 516.0096, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9591, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4248, usercpu_time_millis: 2.952, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 2.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4838, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, usercpu_time_millis: 32.17, usercpu_time_millis_testing: 2.605, usercpu_time_millis_training: 29.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.933, kappa: 0.8563, kb_relative_information_score: 485.215, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5364, kappa: -0.0039, kb_relative_information_score: 36.4932, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.5303, predictive_accuracy: 0.5747, prior_entropy: 0.953, recall: 0.5747, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6522, root_relative_squared_error: 1.3488, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.5963, kappa: 0.1752, kb_relative_information_score: 168.4702, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.767, predictive_accuracy: 0.6801, prior_entropy: 0.953, recall: 0.6801, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.1697, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468, usercpu_time_millis: 396.764, usercpu_time_millis_testing: 9.71, usercpu_time_millis_training: 387.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7237, kappa: 0.4122, kb_relative_information_score: 269.6526, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8269, predictive_accuracy: 0.761, prior_entropy: 0.953, recall: 0.761, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0112, usercpu_time_millis: 43.092, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 43.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8795, kappa: 0.7404, kb_relative_information_score: 419.2265, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8799, predictive_accuracy: 0.8805, prior_entropy: 0.953, recall: 0.8805, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.715, usercpu_time_millis: 2.07, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 1.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.919, kappa: 0.8243, kb_relative_information_score: 469.8177, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.927, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5816, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9332, kappa: 0.8569, kb_relative_information_score: 485.215, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, usercpu_time_millis: 2.582, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 1.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8726, kappa: 0.7228, kb_relative_information_score: 417.0269, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.8968, predictive_accuracy: 0.8787, prior_entropy: 0.953, recall: 0.8787, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7202, usercpu_time_millis: 0.288, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 500.6123, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4828, usercpu_time_millis: 1.548, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158, usercpu_time_millis: 43.237, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 43.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 511.6104, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4421, usercpu_time_millis: 125.188, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 124.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9526, kappa: 0.8988, kb_relative_information_score: 509.4107, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4505, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973, usercpu_time_millis: 7.271, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 7.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973, usercpu_time_millis: 33.331, usercpu_time_millis_testing: 2.604, usercpu_time_millis_training: 30.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 520.4088, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4067, usercpu_time_millis: 3.76, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 3.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9298, kappa: 0.8499, kb_relative_information_score: 480.8157, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9299, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5484, usercpu_time_millis: 0.451, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.9472, kappa: 0.8868, kb_relative_information_score: 502.8119, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4749, usercpu_time_millis: 18.005, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 16.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8973, kappa: 0.7774, kb_relative_information_score: 443.4223, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9046, predictive_accuracy: 0.8998, prior_entropy: 0.953, recall: 0.8998, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6546, usercpu_time_millis: 56.178, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 55.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4838, kb_relative_information_score: 102.4817, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.2625, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9592, kappa: 0.9119, kb_relative_information_score: 518.2092, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9611, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4158, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9736, kappa: 0.9433, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2023, kb_relative_information_score: -216.4626, mean_absolute_error: 0.6274, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.1388, predictive_accuracy: 0.3726, prior_entropy: 0.953, recall: 0.3726, relative_absolute_error: 1.3417, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.7921, root_relative_squared_error: 1.6383, usercpu_time_millis: 2.234, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 2.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9074, kappa: 0.7999, kb_relative_information_score: 454.4203, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9097, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6253, usercpu_time_millis: 2.808, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 2.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9367, kappa: 0.8647, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5202, usercpu_time_millis: 4.226, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: -0.1205, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1762.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 512.2798, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4327, scimark_benchmark: 1762.448, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 486.1462, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5133, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 483.9271, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5129, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9665, kappa: 0.9281, kb_relative_information_score: 486.9932, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9667, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3501, scimark_benchmark: 1762.448, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 507.8924, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4497, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9471, kappa: 0.8866, kb_relative_information_score: 504.2138, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4304, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9437, kappa: 0.8795, kb_relative_information_score: 492.1916, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9437, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4731, scimark_benchmark: 1762.448, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 492.8884, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.361, scimark_benchmark: 1762.448, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9719, kappa: 0.9397, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9349, kappa: 0.8605, kb_relative_information_score: 465.1568, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4929, scimark_benchmark: 1141.647, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9368, kappa: 0.8652, kb_relative_information_score: 476.4565, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9371, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5025, scimark_benchmark: 1092.8567, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9824, kappa: 0.9621, kb_relative_information_score: 546.8042, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9827, predictive_accuracy: 0.9824, prior_entropy: 0.953, recall: 0.9824, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2742, scimark_benchmark: 1371.5664, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.977, kappa: 0.9506, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9777, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126, scimark_benchmark: 1008.0908, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 510.1809, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3308, scimark_benchmark: 1169.159, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9699, kappa: 0.9353, kb_relative_information_score: 501.6547, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9708, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3354, scimark_benchmark: 1333.3436, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9471, kappa: 0.8866, kb_relative_information_score: 503.8424, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4339, scimark_benchmark: 1179.6394, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9196, kappa: 0.829, kb_relative_information_score: 447.3684, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9208, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5134, scimark_benchmark: 1117.5998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9718, kappa: 0.9395, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468, scimark_benchmark: 1001.3596, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9736, kappa: 0.9433, kb_relative_information_score: 510.9743, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9737, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3438, scimark_benchmark: 876.2538, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9593, kappa: 0.9125, kb_relative_information_score: 501.0559, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3541, scimark_benchmark: 1134.4683, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9572, kappa: 0.9077, kb_relative_information_score: 509.4964, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9605, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.174, root_relative_squared_error: 0.36, scimark_benchmark: 1116.9793, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9575, kappa: 0.9086, kb_relative_information_score: 510.6452, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9585, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3875, scimark_benchmark: 1188.2105, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9701, kappa: 0.9362, kb_relative_information_score: 525.398, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3447, scimark_benchmark: 787.3763, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9753, kappa: 0.9472, kb_relative_information_score: 530.4841, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9754, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3207, scimark_benchmark: 752.0454, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 523.3362, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3354, scimark_benchmark: 972.9921, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9735, kappa: 0.9431, kb_relative_information_score: 535.8061, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9739, predictive_accuracy: 0.9736, prior_entropy: 0.953, recall: 0.9736, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3358, scimark_benchmark: 1613.6417, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9385, kappa: 0.8683, kb_relative_information_score: 478.3992, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5028, scimark_benchmark: 944.2477, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.97, kappa: 0.9355, kb_relative_information_score: 507.818, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3565, scimark_benchmark: 901.458, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9329, kappa: 0.8561, kb_relative_information_score: 486.1462, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5133, scimark_benchmark: 901.458, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9753, kappa: 0.9469, kb_relative_information_score: 505.8422, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9758, predictive_accuracy: 0.9754, prior_entropy: 0.953, recall: 0.9754, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3037, scimark_benchmark: 945.8307, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 487.7863, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3475, scimark_benchmark: 944.8364, usercpu_time_millis: 2000, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1910,

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