OpenML
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 3726 Supervised Classification sleuth_ex2016 506 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6744, kappa: 0.3514, kb_relative_information_score: 22.671, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6823, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7347, kappa: 0.4736, kb_relative_information_score: 38.817, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7433, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7465, kappa: 0.4961, kb_relative_information_score: 40.0679, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7531, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7004, kappa: 0.4044, kb_relative_information_score: 32.3041, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7065, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 27.8994, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6765, kappa: 0.3596, kb_relative_information_score: 23.7032, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6864, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6649, kappa: 0.3299, kb_relative_information_score: 27.6425, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6676, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 32.9232, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6438, kappa: 0.2871, kb_relative_information_score: 19.8596, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.644, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.5978, kappa: 0.1951, kb_relative_information_score: 19.1833, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5981, predictive_accuracy: 0.5977, prior_entropy: 0.9992, recall: 0.5977, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5735, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7356, kappa: 0.4719, kb_relative_information_score: 38.3939, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7374, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 22.1404, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7038, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.77, kappa: 0.5411, kb_relative_information_score: 42.198, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7731, predictive_accuracy: 0.7701, prior_entropy: 0.9992, recall: 0.7701, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7468, kappa: 0.4928, kb_relative_information_score: 34.684, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7472, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7241, kappa: 0.4476, kb_relative_information_score: 30.8105, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7241, predictive_accuracy: 0.7241, prior_entropy: 0.9992, recall: 0.7241, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.712, kappa: 0.4232, kb_relative_information_score: 22.8825, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.713, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.3527, kb_relative_information_score: -0.1099, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 20.358, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7038, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.6867, kappa: 0.3751, kb_relative_information_score: 26.6336, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.693, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6547, kappa: 0.3084, kb_relative_information_score: 23.5863, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.655, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 24.8191, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.77, kappa: 0.5411, kb_relative_information_score: 42.2514, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7731, predictive_accuracy: 0.7701, prior_entropy: 0.9992, recall: 0.7701, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.735, kappa: 0.4694, kb_relative_information_score: 30.2636, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7361, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7583, kappa: 0.5186, kb_relative_information_score: 41.7361, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.763, predictive_accuracy: 0.7586, prior_entropy: 0.9992, recall: 0.7586, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7462, kappa: 0.492, kb_relative_information_score: 42.9245, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7484, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7583, kappa: 0.5186, kb_relative_information_score: 40.2085, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.763, predictive_accuracy: 0.7586, prior_entropy: 0.9992, recall: 0.7586, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 24.8191, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7242, kappa: 0.4485, kb_relative_information_score: 38.9179, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.725, predictive_accuracy: 0.7241, prior_entropy: 0.9992, recall: 0.7241, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.712, kappa: 0.4232, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.713, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8161, kappa: 0.6317, kb_relative_information_score: 48.4596, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.8161, predictive_accuracy: 0.8161, prior_entropy: 0.9992, recall: 0.8161, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7774,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643431/Run_1847383_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643339/Run_1847337_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.735, kappa: 0.4694, kb_relative_information_score: 40.9212, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7361, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3527, kb_relative_information_score: 2.8589, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6948, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.735, kappa: 0.4694, kb_relative_information_score: 40.9212, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7361, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3527, kb_relative_information_score: 2.8589, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6948, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.735, kappa: 0.4694, kb_relative_information_score: 40.9212, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7361, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3527, kb_relative_information_score: 2.8589, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6948, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.735, kappa: 0.4694, kb_relative_information_score: 40.9212, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7361, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3527, kb_relative_information_score: 2.8589, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6948, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 13.5764, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.688, kappa: 0.3761, kb_relative_information_score: 23.6964, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.691, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.5852, kappa: 0.1754, kb_relative_information_score: 14.8786, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5899, predictive_accuracy: 0.5862, prior_entropy: 0.9992, recall: 0.5862, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.2873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7231, kappa: 0.4459, kb_relative_information_score: 38.9179, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7252, predictive_accuracy: 0.7241, prior_entropy: 0.9992, recall: 0.7241, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0511, usercpu_time_millis: 0.16, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.677, kappa: 0.3535, kb_relative_information_score: 30.9048, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6787, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1353, usercpu_time_millis: 18.12, usercpu_time_millis_testing: 4.73, usercpu_time_millis_training: 13.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6665, kappa: 0.332, kb_relative_information_score: 28.9015, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6665, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1554, usercpu_time_millis: 113.81, usercpu_time_millis_testing: 53.81, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.699, kappa: 0.3987, kb_relative_information_score: 34.9114, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7036, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.094, usercpu_time_millis: 35.93, usercpu_time_millis_testing: 7.89, usercpu_time_millis_training: 28.04,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7583, kappa: 0.5186, kb_relative_information_score: 41.7361, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.763, predictive_accuracy: 0.7586, prior_entropy: 0.9992, recall: 0.7586, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8881, scimark_benchmark: 1303.4739, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6093, kappa: 0.2187, kb_relative_information_score: 15.0506, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.61, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1143, scimark_benchmark: 1278.028, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 24.83, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9223, scimark_benchmark: 1106.9521, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6424, kappa: 0.2905, kb_relative_information_score: 24.4423, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6495, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1799, scimark_benchmark: 1319.2123, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.5975, kappa: 0.1938, kb_relative_information_score: 24.206, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5974, predictive_accuracy: 0.5977, prior_entropy: 0.9992, recall: 0.5977, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0661, scimark_benchmark: 1262.9696, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7066, kappa: 0.4195, kb_relative_information_score: 26.0974, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7247, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9326, scimark_benchmark: 685.5571, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7462, kappa: 0.492, kb_relative_information_score: 42.9245, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7484, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7012, kappa: 0.4025, kb_relative_information_score: 34.9114, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.702, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.094, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7085, kappa: 0.4205, kb_relative_information_score: 28.3407, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7201, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9234, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.6782, kappa: 0.3556, kb_relative_information_score: 27.7717, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8445, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7465, kappa: 0.4961, kb_relative_information_score: 40.0679, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7531, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8984, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 24.8191, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.103, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7583, kappa: 0.5186, kb_relative_information_score: 41.7361, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.763, predictive_accuracy: 0.7586, prior_entropy: 0.9992, recall: 0.7586, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8881, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7462, kappa: 0.492, kb_relative_information_score: 42.9245, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7484, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7012, kappa: 0.4025, kb_relative_information_score: 34.9114, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.702, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.094, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6093, kappa: 0.2187, kb_relative_information_score: 15.0495, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.61, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1144, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 24.83, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9223, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6424, kappa: 0.2905, kb_relative_information_score: 24.4423, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6495, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1799, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.5975, kappa: 0.1938, kb_relative_information_score: 23.9214, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5974, predictive_accuracy: 0.5977, prior_entropy: 0.9992, recall: 0.5977, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.0716, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6851, kappa: 0.3741, kb_relative_information_score: 24.9896, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6959, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9759, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7085, kappa: 0.4205, kb_relative_information_score: 28.3407, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7201, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9234, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.6777, kappa: 0.3545, kb_relative_information_score: 26.9783, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.678, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8664, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7465, kappa: 0.4961, kb_relative_information_score: 40.0679, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7531, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8984, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 24.8191, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.103, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 24.83, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9223, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6744, kappa: 0.3514, kb_relative_information_score: 22.671, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6823, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9711, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.5977, kappa: 0.1964, kb_relative_information_score: 14.3371, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5991, predictive_accuracy: 0.5977, prior_entropy: 0.9992, recall: 0.5977, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1228, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.5975, kappa: 0.1938, kb_relative_information_score: 24.206, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5974, predictive_accuracy: 0.5977, prior_entropy: 0.9992, recall: 0.5977, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0661, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.5975, kappa: 0.1938, kb_relative_information_score: 24.206, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.5974, predictive_accuracy: 0.5977, prior_entropy: 0.9992, recall: 0.5977, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0661, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7123, kappa: 0.4269, kb_relative_information_score: 36.154, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7166, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9123, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 26.134, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9168, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 20.7761, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9791, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 25.5504, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6913, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8919, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.678, kappa: 0.3576, kb_relative_information_score: 30.9048, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6807, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1353, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7462, kappa: 0.492, kb_relative_information_score: 42.9245, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7484, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0063, scimark_benchmark: 1509.0949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6744, kappa: 0.3514, kb_relative_information_score: 22.671, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6823, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9711, scimark_benchmark: 1022.9231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6851, kappa: 0.3741, kb_relative_information_score: 20.2273, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6959, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9258, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6362, kappa: 0.2802, kb_relative_information_score: 20.6933, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6503, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0786, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6914, kappa: 0.3949, kb_relative_information_score: 27.6381, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7212, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9622, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6232, kappa: 0.2564, kb_relative_information_score: 16.2582, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6394, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9108, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6547, kappa: 0.3084, kb_relative_information_score: 17.934, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.655, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0007, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.701, kappa: 0.4035, kb_relative_information_score: 20.358, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7038, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9396, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.655, kappa: 0.3117, kb_relative_information_score: 26.8982, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6576, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.1751, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7012, kappa: 0.4025, kb_relative_information_score: 34.9114, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.702, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.094, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.688, kappa: 0.3761, kb_relative_information_score: 25.4128, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.691, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9724, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7318, kappa: 0.4668, kb_relative_information_score: 28.8642, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7443, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9001, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7106, kappa: 0.4287, kb_relative_information_score: 32.6075, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7241, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9229, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7465, kappa: 0.4961, kb_relative_information_score: 40.0679, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7531, predictive_accuracy: 0.7471, prior_entropy: 0.9992, recall: 0.7471, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8984, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6403, kappa: 0.2825, kb_relative_information_score: 19.1536, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6455, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5312, root_relative_squared_error: 1.063, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6539, kappa: 0.3073, kb_relative_information_score: 24.8191, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6554, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.103, scimark_benchmark: 1806.5905,

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