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
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7413, kappa: 0.2414, kb_relative_information_score: 90.721, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9471, scimark_benchmark: 1853.8456, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 84.3155, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7589, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9233, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.856, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 33.3878, mean_absolute_error: 0.3354, 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: 0.9239, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9465, scimark_benchmark: 1748.66, usercpu_time_millis: 1.441, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.5761, 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: 1863.3902, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6912, kappa: 0.0851, kb_relative_information_score: 48.5231, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9315, scimark_benchmark: 1742.6507, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6616, kappa: 0.0059, kb_relative_information_score: 29.649, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7002, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9438, scimark_benchmark: 1739.0223, usercpu_time_millis: 0.07, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.049,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6884, kappa: 0.0772, kb_relative_information_score: 61.7993, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9297, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 2.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7534, kappa: 0.2756, kb_relative_information_score: 102.4709, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7526, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9257, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.6591, kb_relative_information_score: -0.7784, 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: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1865.6416, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6591, kb_relative_information_score: 24.6164, mean_absolute_error: 0.3355, 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: 0.9242, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9471, scimark_benchmark: 1749.3617, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6912, kappa: 0.0851, kb_relative_information_score: 55.0245, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9307, scimark_benchmark: 1751.1809, usercpu_time_millis: 0.351, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6591, kb_relative_information_score: 8.7608, mean_absolute_error: 0.3283, 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: 0.9042, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9518, scimark_benchmark: 1872.4216, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.6591, kb_relative_information_score: -2.1721, mean_absolute_error: 0.3621, 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: 0.9974, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7498, kappa: 0.2613, kb_relative_information_score: 86.2239, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7528, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253, scimark_benchmark: 1855.1969, usercpu_time_millis: 0.361, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.1555, 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: 0.9992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1710.7231, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7274, kappa: 0.2113, kb_relative_information_score: 69.3159, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7187, predictive_accuracy: 0.746, prior_entropy: 0.7928, recall: 0.746, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.9841, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.891, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 9.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7436, kappa: 0.245, kb_relative_information_score: 88.2481, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7422, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9298, scimark_benchmark: 1870.9309, usercpu_time_millis: 4.552, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 3.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 102.0047, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7432, 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: 0.3976, root_relative_squared_error: 0.9336, scimark_benchmark: 1741.8386, usercpu_time_millis: 4.275, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 3.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7519, kappa: 0.2742, kb_relative_information_score: 93.591, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.9403, scimark_benchmark: 1874.0573, usercpu_time_millis: 3.9, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 3.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7499, kappa: 0.2599, kb_relative_information_score: 85.7612, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7564, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9258, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.254, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7619, kappa: 0.3028, kb_relative_information_score: 96.6672, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7609, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.927, scimark_benchmark: 1871.2001, usercpu_time_millis: 3.446, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 2.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.4751, 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: 1738.024, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.4788, 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: 0.9991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.29, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7599, kappa: 0.2917, kb_relative_information_score: 82.8954, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7648, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.92, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.9, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7595, kappa: 0.2978, kb_relative_information_score: 92.8448, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7567, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9241, scimark_benchmark: 1723.511, usercpu_time_millis: 4.011, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 3.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7416, kappa: 0.2342, kb_relative_information_score: 78.5306, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7477, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9267, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.384, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.0355, 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: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1742.803, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7597, kappa: 0.2973, kb_relative_information_score: 97.6957, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7578, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.931, scimark_benchmark: 1944.773, usercpu_time_millis: 4.001, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 3.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6591, kb_relative_information_score: 27.8075, mean_absolute_error: 0.3398, 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: 0.9359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.953, scimark_benchmark: 1754.8152, usercpu_time_millis: 0.497, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7404, kappa: 0.2454, kb_relative_information_score: 82.0246, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7336, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9584, scimark_benchmark: 1756.2894, usercpu_time_millis: 0.793, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.6591, kb_relative_information_score: 13.7352, 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: 0.9041, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9488, scimark_benchmark: 1756.2894, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 51.9426, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.936, scimark_benchmark: 1753.9007, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6591, kb_relative_information_score: 29.9089, mean_absolute_error: 0.335, 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: 0.9228, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9454, scimark_benchmark: 1724.8727, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.75, kappa: 0.2682, kb_relative_information_score: 92.4519, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7468, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.9446, scimark_benchmark: 1716.4742, usercpu_time_millis: 7.962, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 6.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.9221, mean_absolute_error: 0.3625, 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: 0.9986, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1973.677, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.175,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7091, kappa: 0.1337, kb_relative_information_score: 70.6133, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7194, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9282, scimark_benchmark: 1743.091, usercpu_time_millis: 1.496, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.4493, 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: 0.9991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1751.6968, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7347, kappa: 0.2345, kb_relative_information_score: 64.6253, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7268, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9956, scimark_benchmark: 1764.0455, usercpu_time_millis: 1.988, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.7948, 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: 0.9987, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1743.9998, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7496, kappa: 0.2628, kb_relative_information_score: 86.7265, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7498, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9344, scimark_benchmark: 1739.3689, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.767, kappa: 0.317, kb_relative_information_score: 102.5663, mean_absolute_error: 0.3023, 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: 0.8328, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9201, scimark_benchmark: 1769.6304, usercpu_time_millis: 1.282, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6591, kb_relative_information_score: 14.3317, mean_absolute_error: 0.3333, 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: 0.9181, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9483, scimark_benchmark: 1766.5567, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: -0.1413, 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: 1772.6812, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7321, kappa: 0.2254, kb_relative_information_score: 70.4557, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7239, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9858, scimark_benchmark: 1872.4216, usercpu_time_millis: 10.499, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 8.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7381, kappa: 0.2344, kb_relative_information_score: 82.102, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7319, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9678, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.74, usercpu_time_millis_testing: 1.544, usercpu_time_millis_training: 8.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.7408, kappa: 0.2438, kb_relative_information_score: 85.7706, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7347, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.9563, scimark_benchmark: 1870.1592, usercpu_time_millis: 9.411, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 8.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.7373, kappa: 0.2378, kb_relative_information_score: 74.0271, mean_absolute_error: 0.3046, 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: 0.8391, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.9759, scimark_benchmark: 1739.8218, usercpu_time_millis: 10.955, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 9.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 89.7203, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9564, scimark_benchmark: 1742.2915, usercpu_time_millis: 10.274, usercpu_time_millis_testing: 1.672, usercpu_time_millis_training: 8.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 100.0379, mean_absolute_error: 0.3015, 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: 0.8304, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9323, scimark_benchmark: 1756.6423, usercpu_time_millis: 5.205, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 4.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.7608, kappa: 0.3001, kb_relative_information_score: 98.17, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9283, scimark_benchmark: 1754.6046, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 3.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7481, kappa: 0.2622, kb_relative_information_score: 96.3408, mean_absolute_error: 0.3012, 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: 0.8296, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9427, scimark_benchmark: 765.942, usercpu_time_millis: 2.965, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.1229, 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: 0.9995, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 765.1836, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.6591, kb_relative_information_score: 22.6618, mean_absolute_error: 0.3364, 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: 0.9267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9487, scimark_benchmark: 1745.8872, usercpu_time_millis: 1.633, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 101.0662, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9296, scimark_benchmark: 1721.8402, usercpu_time_millis: 2.801, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 2.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7437, kappa: 0.2425, kb_relative_information_score: 91.2325, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7464, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9299, scimark_benchmark: 1744.9079, usercpu_time_millis: 3.207, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 2.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: -0.2616, 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: 0.4259, root_relative_squared_error: 1, scimark_benchmark: 1752.969, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 102.7177, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9272, scimark_benchmark: 1748.2025, usercpu_time_millis: 3.138, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7546, kappa: 0.2778, kb_relative_information_score: 109.1607, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7556, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9315, scimark_benchmark: 1744.4527, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6591, kb_relative_information_score: 21.8179, mean_absolute_error: 0.3365, 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: 0.9269, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.949, scimark_benchmark: 1754.8597, usercpu_time_millis: 0.594, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.7447, kappa: 0.2469, kb_relative_information_score: 89.5663, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7452, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9486, scimark_benchmark: 1729.5697, usercpu_time_millis: 1.768, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6591, kb_relative_information_score: 21.5004, mean_absolute_error: 0.3446, 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: 0.9493, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.409, root_relative_squared_error: 0.9604, scimark_benchmark: 1730.364, usercpu_time_millis: 1.813, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6591, kb_relative_information_score: 18.1073, mean_absolute_error: 0.3262, 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: 0.8985, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9466, scimark_benchmark: 1740.8392, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.665, kappa: 0.012, kb_relative_information_score: 58.5678, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6711, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378, scimark_benchmark: 1858.5397, usercpu_time_millis: 1.201, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6591, kb_relative_information_score: 15.1541, mean_absolute_error: 0.3311, 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: 0.912, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9475, scimark_benchmark: 1848.3186, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.6671, kappa: 0.02, kb_relative_information_score: 52.5404, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7253, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9371, scimark_benchmark: 2178.2703, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7681, kappa: 0.3198, kb_relative_information_score: 101.0373, mean_absolute_error: 0.3026, 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: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1870.9768, usercpu_time_millis: 2.879, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 2.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 55.5273, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9325, scimark_benchmark: 1739.4775, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 0.949,

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