Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 145836 Supervised Classification blood-transfusion-service-center 78885 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

78885 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7481, kappa: 0.2622, kb_relative_information_score: 100.5325, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7447, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.9379, scimark_benchmark: 1980.5465, usercpu_time_millis: 5.794, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 5.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7337, kappa: 0.2321, kb_relative_information_score: 67.1781, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7257, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4335, root_relative_squared_error: 1.018, scimark_benchmark: 1926.7645, usercpu_time_millis: 2.794, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7485, kappa: 0.26, kb_relative_information_score: 88.9271, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7481, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9267, scimark_benchmark: 1929.4667, usercpu_time_millis: 2.142, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6827, kappa: 0.0612, kb_relative_information_score: 53.6556, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7396, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.934, scimark_benchmark: 1928.5631, usercpu_time_millis: 1.757, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6591, kb_relative_information_score: 22.0148, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.9503, scimark_benchmark: 1833.767, usercpu_time_millis: 1.687, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.2427, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1836.2384, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.7307, kappa: 0.2176, kb_relative_information_score: 74.0886, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7224, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.978, scimark_benchmark: 1916.8781, usercpu_time_millis: 6.504, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 5.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.7496, kappa: 0.2695, kb_relative_information_score: 90.187, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.745, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9437, scimark_benchmark: 1911.1582, usercpu_time_millis: 4.412, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 3.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7585, kappa: 0.2899, kb_relative_information_score: 79.8583, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7597, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924, scimark_benchmark: 1917.4755, usercpu_time_millis: 2.561, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 2.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7589, kappa: 0.2942, kb_relative_information_score: 103.2707, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7574, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.396, root_relative_squared_error: 0.93, scimark_benchmark: 1861.3749, usercpu_time_millis: 3.894, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 3.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7547, kappa: 0.2833, kb_relative_information_score: 99.6069, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7513, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9396, scimark_benchmark: 1861.3749, usercpu_time_millis: 2.971, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.7466, kappa: 0.2539, kb_relative_information_score: 85.0086, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.746, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9437, scimark_benchmark: 1911.9733, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7272, kappa: 0.2122, kb_relative_information_score: 60.378, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7185, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0007, scimark_benchmark: 1961.0361, usercpu_time_millis: 2.3, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 2.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7452, kappa: 0.2535, kb_relative_information_score: 97.8602, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7412, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9456, scimark_benchmark: 1804.1774, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.6591, kb_relative_information_score: -11.109, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001, scimark_benchmark: 1856.6854, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7555, kappa: 0.2866, kb_relative_information_score: 98.9266, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9329, scimark_benchmark: 1854.6858, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7578, kappa: 0.2914, kb_relative_information_score: 103.1694, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7558, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253, scimark_benchmark: 1854.7429, usercpu_time_millis: 2.959, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 2.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 28.9705, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9428, scimark_benchmark: 1829.458, usercpu_time_millis: 1.651, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 89.1224, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508, scimark_benchmark: 1851.1192, usercpu_time_millis: 6.271, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 5.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7498, kappa: 0.2606, kb_relative_information_score: 71.7739, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7545, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9271, scimark_benchmark: 1828.0251, usercpu_time_millis: 1.889, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6591, kb_relative_information_score: -0.5006, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1849.5861, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7439, kappa: 0.2516, kb_relative_information_score: 82.3675, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.9601, scimark_benchmark: 1859.4255, usercpu_time_millis: 5.045, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 4.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.6591, kb_relative_information_score: 8.5792, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9524, scimark_benchmark: 1851.1192, usercpu_time_millis: 1.542, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.7697, kappa: 0.326, kb_relative_information_score: 110.0585, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7698, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.9186, scimark_benchmark: 1863.6877, usercpu_time_millis: 0.146, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7082, kappa: 0.131, kb_relative_information_score: 66.7947, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7166, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9287, scimark_benchmark: 1818.8705, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.7185, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1895.326, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7406, kappa: 0.2352, kb_relative_information_score: 86.2615, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7396, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9489, scimark_benchmark: 1798.7704, usercpu_time_millis: 9.45, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 8.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7476, kappa: 0.2566, kb_relative_information_score: 81.2914, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7477, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9282, scimark_benchmark: 1743.069, usercpu_time_millis: 3.027, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.6242, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1801.0407, usercpu_time_millis: 1.539, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.4704, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1746.6801, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 25.6913, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9426, scimark_benchmark: 1742.9558, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.7638, kappa: 0.3087, kb_relative_information_score: 103.7954, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7628, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921, scimark_benchmark: 1746.1703, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7432, kappa: 0.2474, kb_relative_information_score: 86.7848, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7391, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9531, scimark_benchmark: 1850.5475, usercpu_time_millis: 5.559, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 4.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7632, kappa: 0.3052, kb_relative_information_score: 99.2818, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7639, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9228, scimark_benchmark: 1814.7202, usercpu_time_millis: 2.115, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7472, kappa: 0.2588, kb_relative_information_score: 97.2555, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7442, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9383, scimark_benchmark: 1834.575, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7483, kappa: 0.2675, kb_relative_information_score: 86.0126, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7428, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9617, scimark_benchmark: 1858.6978, usercpu_time_millis: 3.259, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.746, kappa: 0.2569, kb_relative_information_score: 99.4549, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9348, scimark_benchmark: 1846.6968, usercpu_time_millis: 1.645, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7373, kappa: 0.23, kb_relative_information_score: 82.5713, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7319, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.9568, scimark_benchmark: 1847.1023, usercpu_time_millis: 2.594, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 2.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6591, kb_relative_information_score: 23.5649, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9477, scimark_benchmark: 1857.1406, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.6591, kb_relative_information_score: -0.4246, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1846.9511, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7284, kappa: 0.2137, kb_relative_information_score: 63.6167, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7198, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9965, scimark_benchmark: 1898.4233, usercpu_time_millis: 7.596, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 6.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7446, kappa: 0.2477, kb_relative_information_score: 91.0333, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7439, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9337, scimark_benchmark: 1840.662, usercpu_time_millis: 5.572, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 4.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7416, kappa: 0.2388, kb_relative_information_score: 91.3543, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9359, scimark_benchmark: 1918.2331, usercpu_time_millis: 5.566, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 4.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7394, kappa: 0.2429, kb_relative_information_score: 76.9725, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7323, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9675, scimark_benchmark: 1836.0835, usercpu_time_millis: 4.584, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 4.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7295, kappa: 0.2223, kb_relative_information_score: 65.1441, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7213, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.0211, scimark_benchmark: 1915.8259, usercpu_time_millis: 3.911, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 3.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 98.8008, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9283, scimark_benchmark: 1840.2163, usercpu_time_millis: 3.685, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7591, kappa: 0.2937, kb_relative_information_score: 98.1623, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9276, scimark_benchmark: 1917.7485, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6591, kb_relative_information_score: 23.5476, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9563, scimark_benchmark: 1847.8582, usercpu_time_millis: 0.77, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 27.5857, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9442, scimark_benchmark: 1914.8462, usercpu_time_millis: 0.138, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7376, kappa: 0.2427, kb_relative_information_score: 69.7634, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7299, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0011, scimark_benchmark: 1742.3402, usercpu_time_millis: 11.577, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 10.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7487, kappa: 0.2593, kb_relative_information_score: 91.1324, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7495, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9365, scimark_benchmark: 1868.1196, usercpu_time_millis: 5.354, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 4.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 100.7244, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7534, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9268, scimark_benchmark: 1871.4349, usercpu_time_millis: 2.465, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7616, kappa: 0.3032, kb_relative_information_score: 96.3062, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7597, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.9303, scimark_benchmark: 1866.229, usercpu_time_millis: 1.463, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7436, kappa: 0.2407, kb_relative_information_score: 73.7061, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7499, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9251, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6591, kb_relative_information_score: 14.2257, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9482, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7681, kappa: 0.3198, kb_relative_information_score: 95.7945, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7694, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.9174, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6591, kb_relative_information_score: 8.9979, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9519, scimark_benchmark: 1978.0486, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 92.4357, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7491, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9288, scimark_benchmark: 1753.5498, usercpu_time_millis: 2.271, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6591, kb_relative_information_score: -0.2946, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1, scimark_benchmark: 1382.9495, usercpu_time_millis: 0.138, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7458, kappa: 0.2576, kb_relative_information_score: 88.4173, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7409, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9482, scimark_benchmark: 1366.9646, usercpu_time_millis: 3.128, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 2.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6591, kb_relative_information_score: 8.3779, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9528, scimark_benchmark: 1368.5509, usercpu_time_millis: 1.43, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 98.7781, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9437, scimark_benchmark: 1362.2367, usercpu_time_millis: 2.2, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7632, kappa: 0.3052, kb_relative_information_score: 98.5835, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7639, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1376.0335, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7537, kappa: 0.2744, kb_relative_information_score: 94.1095, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9355, scimark_benchmark: 1370.8882, usercpu_time_millis: 2.615, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.7466, kappa: 0.2539, kb_relative_information_score: 82.5343, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.746, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9274, scimark_benchmark: 1361.0937, usercpu_time_millis: 0.979, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.552, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1365.4241, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.6153, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1374.7198, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6732, kappa: 0.0367, kb_relative_information_score: 47.6851, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7541, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9376, scimark_benchmark: 1371.819, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.767, kappa: 0.317, kb_relative_information_score: 92.3308, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7677, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9215, scimark_benchmark: 1367.4066, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.4494, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1368.6238, usercpu_time_millis: 1.268, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 102.9588, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9277, scimark_benchmark: 1366.7325, usercpu_time_millis: 4.749, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 3.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7629, kappa: 0.3098, kb_relative_information_score: 91.4691, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7595, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.927, scimark_benchmark: 1336.5913, usercpu_time_millis: 0.958, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.6591, kb_relative_information_score: 20.7783, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9455, scimark_benchmark: 1368.2469, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.6591, kb_relative_information_score: 9.0442, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9517, scimark_benchmark: 1370.1979, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6591, kb_relative_information_score: 18.3297, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9458, scimark_benchmark: 1373.9467, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 92.4628, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.949, scimark_benchmark: 1372.8618, usercpu_time_millis: 0.918, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.6591, kb_relative_information_score: -0.2003, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1368.4774, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 64.0541, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9399, scimark_benchmark: 1364.2657, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.6591, kb_relative_information_score: 9.1162, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9516, scimark_benchmark: 1369.9555, usercpu_time_millis: 0.411, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7456, kappa: 0.2504, kb_relative_information_score: 91.6354, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7456, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9316, scimark_benchmark: 1364.3561, usercpu_time_millis: 5.454, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 4.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.764, kappa: 0.3083, kb_relative_information_score: 100.0244, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7641, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9219, scimark_benchmark: 1363.5577, usercpu_time_millis: 3.541, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 2.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.7219, kappa: 0.1734, kb_relative_information_score: 65.1861, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7276, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9317, scimark_benchmark: 1366.9789, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7597, kappa: 0.2922, kb_relative_information_score: 86.8741, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.763, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9213, scimark_benchmark: 1370.6619, usercpu_time_millis: 3.827, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 3.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.7344, kappa: 0.2204, kb_relative_information_score: 83.7246, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7291, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9488, scimark_benchmark: 1363.9453, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.7396, kappa: 0.2325, kb_relative_information_score: 85.9625, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7379, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9491, scimark_benchmark: 1374.0251, usercpu_time_millis: 4.252, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 3.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.684, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1365.6294, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7487, kappa: 0.2593, kb_relative_information_score: 88.0289, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7495, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9262, scimark_benchmark: 1366.8583, usercpu_time_millis: 2.767, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 2.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.6591, kb_relative_information_score: 17.4325, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9465, scimark_benchmark: 1369.6639, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7651, kappa: 0.3111, kb_relative_information_score: 102.0093, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7658, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9242, scimark_benchmark: 1371.3668, usercpu_time_millis: 3.146, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 2.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7485, kappa: 0.26, kb_relative_information_score: 91.9955, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7481, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9309, scimark_benchmark: 1367.6421, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 2.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7373, kappa: 0.2378, kb_relative_information_score: 78.2611, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7298, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, scimark_benchmark: 1372.109, usercpu_time_millis: 8.491, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 7.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7523, kappa: 0.2729, kb_relative_information_score: 96.2512, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.751, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9338, scimark_benchmark: 1368.4591, usercpu_time_millis: 5.652, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 4.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7498, kappa: 0.2688, kb_relative_information_score: 95.0123, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7458, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.9456, scimark_benchmark: 1369.5464, usercpu_time_millis: 6.579, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 5.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7498, kappa: 0.2688, kb_relative_information_score: 99.4196, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7458, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9336, scimark_benchmark: 1366.543, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 1.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 86.0968, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9229, scimark_benchmark: 1368.3022, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 2.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7659, kappa: 0.3143, kb_relative_information_score: 92.2054, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.766, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9217, scimark_benchmark: 1362.1022, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7441, kappa: 0.2509, kb_relative_information_score: 92.6093, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7397, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.9571, scimark_benchmark: 1362.1944, usercpu_time_millis: 1.157, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.6591, kb_relative_information_score: 22.4171, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9484, scimark_benchmark: 1365.4243, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 30.1166, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9384, scimark_benchmark: 1365.2159, usercpu_time_millis: 2.276, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 90.7966, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7663, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9216, scimark_benchmark: 1368.0427, usercpu_time_millis: 2.317, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 1.899,

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