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: 0.709, f_measure: 0.7549, kappa: 0.2828, kb_relative_information_score: 56.6068, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7523, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9676, scimark_benchmark: 1097.4249, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7495, kappa: 0.2635, kb_relative_information_score: 94.4157, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7485, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9294, scimark_benchmark: 1877.9385, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6782, kappa: 0.0477, kb_relative_information_score: 62.1606, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7122, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9315, scimark_benchmark: 1749.5206, usercpu_time_millis: 3.008, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 2.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.749, kappa: 0.2655, kb_relative_information_score: 95.5544, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7453, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9427, scimark_benchmark: 1727.6155, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 1.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7602, kappa: 0.2964, kb_relative_information_score: 100.2729, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7602, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9283, scimark_benchmark: 1735.3254, usercpu_time_millis: 2.927, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7597, kappa: 0.2922, kb_relative_information_score: 89.7094, mean_absolute_error: 0.3075, 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: 0.847, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9206, scimark_benchmark: 1755.2242, usercpu_time_millis: 3.028, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7526, kappa: 0.2716, kb_relative_information_score: 92.8384, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7536, 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: 0.3972, root_relative_squared_error: 0.9327, scimark_benchmark: 1765.8485, usercpu_time_millis: 3.121, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 2.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7301, kappa: 0.2205, kb_relative_information_score: 71.172, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7216, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9801, scimark_benchmark: 1743.5462, usercpu_time_millis: 4.954, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 4.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7394, kappa: 0.2429, kb_relative_information_score: 81.4136, mean_absolute_error: 0.2982, 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: 0.8214, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9893, scimark_benchmark: 1727.3455, usercpu_time_millis: 15.719, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 12.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.7608, kappa: 0.295, kb_relative_information_score: 92.9157, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7649, predictive_accuracy: 0.7888, prior_entropy: 0.7928, recall: 0.7888, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9227, scimark_benchmark: 2167.3637, usercpu_time_millis: 2.723, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7574, kappa: 0.2872, kb_relative_information_score: 94.5949, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.758, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9251, scimark_benchmark: 1739.8218, usercpu_time_millis: 5.087, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 4.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6591, kb_relative_information_score: 9.9347, mean_absolute_error: 0.3277, 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: 0.9026, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.405, root_relative_squared_error: 0.951, scimark_benchmark: 1704.5653, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6591, kb_relative_information_score: 21.16, mean_absolute_error: 0.3314, 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: 0.9128, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.9448, scimark_benchmark: 1745.3654, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6591, kb_relative_information_score: 27.5974, mean_absolute_error: 0.3399, 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: 0.9364, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9527, scimark_benchmark: 2113.219, usercpu_time_millis: 1.541, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7664, kappa: 0.3136, kb_relative_information_score: 80.6738, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.769, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9238, scimark_benchmark: 1735.1755, usercpu_time_millis: 3.418, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 2.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 91.9967, mean_absolute_error: 0.3028, 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: 0.8342, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9423, scimark_benchmark: 1766.9488, usercpu_time_millis: 2.619, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 90.8904, mean_absolute_error: 0.3042, 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: 0.8378, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.401, root_relative_squared_error: 0.9416, scimark_benchmark: 1723.6508, usercpu_time_millis: 2.128, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.7651, kappa: 0.3111, kb_relative_information_score: 90.8236, mean_absolute_error: 0.3081, 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: 0.8486, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1757.1529, usercpu_time_millis: 2.82, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 2.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 99.9088, mean_absolute_error: 0.302, 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: 0.8318, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9328, scimark_benchmark: 1748.8645, usercpu_time_millis: 4.359, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 3.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6591, kb_relative_information_score: 0.4652, 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: 2105.1089, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.584, 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: 1743.5462, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7295, kappa: 0.2223, kb_relative_information_score: 69.6092, mean_absolute_error: 0.3002, 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: 0.8269, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.0133, scimark_benchmark: 1747.1969, usercpu_time_millis: 11.507, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 9.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.7527, kappa: 0.271, kb_relative_information_score: 86.3721, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7551, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9256, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.7467, kappa: 0.2523, kb_relative_information_score: 88.7354, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9266, scimark_benchmark: 1874.977, usercpu_time_millis: 2.236, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.6855, kappa: 0.0692, kb_relative_information_score: 58.6214, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.746, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.931, scimark_benchmark: 1863.0553, usercpu_time_millis: 1.622, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.6591, kb_relative_information_score: -0.7132, 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: 1763.5221, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.6591, kb_relative_information_score: 8.9465, mean_absolute_error: 0.3293, 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: 0.9071, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9519, scimark_benchmark: 1758.8848, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 89.6501, mean_absolute_error: 0.3084, 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: 0.8496, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.9278, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.677, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 2.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7277, kappa: 0.2166, kb_relative_information_score: 64.4925, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7193, predictive_accuracy: 0.7433, prior_entropy: 0.7928, recall: 0.7433, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0124, scimark_benchmark: 1872.4216, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7574, kappa: 0.2872, kb_relative_information_score: 96.871, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.758, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9235, scimark_benchmark: 1868.7691, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 98.0448, mean_absolute_error: 0.3041, 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: 0.8375, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9238, scimark_benchmark: 1759.0645, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7436, kappa: 0.2531, kb_relative_information_score: 80.3155, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.9668, scimark_benchmark: 1872.8797, usercpu_time_millis: 11.46, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 9.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.6657, kappa: 0.0147, kb_relative_information_score: 49.1601, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6841, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.9379, scimark_benchmark: 1854.7429, usercpu_time_millis: 2.258, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 1.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.6591, kb_relative_information_score: -1.5508, mean_absolute_error: 0.3631, 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: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1759.6894, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7467, kappa: 0.2482, kb_relative_information_score: 84.5647, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7588, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9256, scimark_benchmark: 1765.376, usercpu_time_millis: 1.142, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7434, kappa: 0.2466, kb_relative_information_score: 89.9265, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.948, scimark_benchmark: 1874.977, usercpu_time_millis: 6.023, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 5.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7375, kappa: 0.237, kb_relative_information_score: 77.8479, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7303, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9686, scimark_benchmark: 1869.7524, usercpu_time_millis: 9.371, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 8.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7496, kappa: 0.2628, kb_relative_information_score: 91.8553, mean_absolute_error: 0.3049, 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: 0.84, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9373, scimark_benchmark: 1838.0183, usercpu_time_millis: 4.217, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 3.489,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7613, kappa: 0.2992, kb_relative_information_score: 100.3704, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7619, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9222, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.259, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7441, kappa: 0.2509, kb_relative_information_score: 87.4828, mean_absolute_error: 0.3011, 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: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9545, scimark_benchmark: 1759.4147, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7667, kappa: 0.3174, kb_relative_information_score: 96.9722, mean_absolute_error: 0.3044, 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: 0.8384, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9244, scimark_benchmark: 1874.7852, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7603, kappa: 0.3009, kb_relative_information_score: 83.8389, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7571, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9267, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.291,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.7001, kappa: 0.1837, kb_relative_information_score: -12.9163, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7041, predictive_accuracy: 0.6965, prior_entropy: 0.7928, recall: 0.6965, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0812, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7495, kappa: 0.2635, kb_relative_information_score: 92.4747, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7485, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9312, scimark_benchmark: 1858.9715, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7412, kappa: 0.2487, kb_relative_information_score: 80.4331, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7343, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.416, root_relative_squared_error: 0.9769, scimark_benchmark: 1296.3816, usercpu_time_millis: 3.331, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 3.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7602, kappa: 0.2896, kb_relative_information_score: 76.6589, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7738, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9222, scimark_benchmark: 1301.207, usercpu_time_millis: 6.392, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 5.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.7507, kappa: 0.2721, kb_relative_information_score: 96.4226, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7464, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4, root_relative_squared_error: 0.9394, scimark_benchmark: 1294.061, usercpu_time_millis: 3.818, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 3.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7528, kappa: 0.2774, kb_relative_information_score: 98.6943, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7493, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9375, scimark_benchmark: 1293.4895, usercpu_time_millis: 8.608, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 7.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7683, kappa: 0.3195, kb_relative_information_score: 94.4539, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.9195, scimark_benchmark: 1283.0882, usercpu_time_millis: 8.763, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 7.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7425, kappa: 0.2505, kb_relative_information_score: 85.4716, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7361, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.408, root_relative_squared_error: 0.9582, scimark_benchmark: 1287.3474, usercpu_time_millis: 32.37, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 29.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 101.7114, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9335, scimark_benchmark: 1308.7884, usercpu_time_millis: 21.449, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 19.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7456, kappa: 0.2583, kb_relative_information_score: 86.3044, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9557, scimark_benchmark: 1277.899, usercpu_time_millis: 34.474, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 31.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 102.4277, mean_absolute_error: 0.3013, 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: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265, scimark_benchmark: 1302.9887, usercpu_time_millis: 9.988, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 8.91,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7479, kappa: 0.2629, kb_relative_information_score: 94.4091, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7438, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9487, scimark_benchmark: 1305.2185, usercpu_time_millis: 33.29, usercpu_time_millis_testing: 3.496, usercpu_time_millis_training: 29.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 98.6298, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9414, scimark_benchmark: 1293.8835, usercpu_time_millis: 1.97, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.761, kappa: 0.2996, kb_relative_information_score: 101.5375, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9266, scimark_benchmark: 1295.2845, usercpu_time_millis: 21.895, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 19.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 91.3042, mean_absolute_error: 0.3013, 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: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9497, scimark_benchmark: 1284.4521, usercpu_time_millis: 9.009, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 8.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 98.8707, mean_absolute_error: 0.302, 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: 0.8317, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9325, scimark_benchmark: 1277.211, usercpu_time_millis: 7.884, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 7.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7468, kappa: 0.2499, kb_relative_information_score: 83.2943, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7542, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9249, scimark_benchmark: 1309.3984, usercpu_time_millis: 14.448, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 12.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7602, kappa: 0.2901, kb_relative_information_score: 82.2892, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7712, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9193, scimark_benchmark: 1296.4818, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.262,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7425, kappa: 0.2423, kb_relative_information_score: 90.8487, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7405, 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: 0.3989, root_relative_squared_error: 0.9367, scimark_benchmark: 1305.3355, usercpu_time_millis: 6.298, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 5.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.749, kappa: 0.2655, kb_relative_information_score: 98.3505, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7453, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9361, scimark_benchmark: 1297.8287, usercpu_time_millis: 24.38, usercpu_time_millis_testing: 2.715, usercpu_time_millis_training: 21.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.7443, kappa: 0.2501, kb_relative_information_score: 91.3533, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7406, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9483, scimark_benchmark: 1308.5318, usercpu_time_millis: 25.731, usercpu_time_millis_testing: 2.472, usercpu_time_millis_training: 23.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.764, kappa: 0.3083, kb_relative_information_score: 100.2818, mean_absolute_error: 0.302, 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: 0.8318, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9261, scimark_benchmark: 1282.9918, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7436, kappa: 0.2531, kb_relative_information_score: 82.3695, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.9592, scimark_benchmark: 1298.0219, usercpu_time_millis: 8.035, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 7.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7572, kappa: 0.2877, kb_relative_information_score: 101.3232, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9248, scimark_benchmark: 1310.3482, usercpu_time_millis: 14.224, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 12.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7638, kappa: 0.3087, kb_relative_information_score: 102.9152, mean_absolute_error: 0.3008, 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: 0.8286, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9274, scimark_benchmark: 1285.2951, usercpu_time_millis: 17.049, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 15.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.746, kappa: 0.2569, kb_relative_information_score: 97.8561, mean_absolute_error: 0.3003, 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: 0.8273, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9405, scimark_benchmark: 1307.4057, usercpu_time_millis: 18.038, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 16.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7496, kappa: 0.2628, kb_relative_information_score: 92.151, mean_absolute_error: 0.3066, 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: 0.8446, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9298, scimark_benchmark: 1281.9553, usercpu_time_millis: 10.191, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 8.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.7488, kappa: 0.2662, kb_relative_information_score: 91.5565, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7444, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9515, scimark_benchmark: 1257.1142, usercpu_time_millis: 28.375, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 25.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7447, kappa: 0.2469, kb_relative_information_score: 92.1287, mean_absolute_error: 0.3061, 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: 0.8431, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9327, scimark_benchmark: 1310.264, usercpu_time_millis: 31.835, usercpu_time_millis_testing: 3.652, usercpu_time_millis_training: 28.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7472, kappa: 0.2588, kb_relative_information_score: 97.0262, mean_absolute_error: 0.3, 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: 0.8265, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9406, scimark_benchmark: 1282.0752, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7487, kappa: 0.2586, kb_relative_information_score: 89.4053, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7509, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9246, scimark_benchmark: 1269.7095, usercpu_time_millis: 11.879, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 10.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.75, kappa: 0.2682, kb_relative_information_score: 95.7279, mean_absolute_error: 0.3019, 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: 0.8316, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.9391, scimark_benchmark: 1296.0233, usercpu_time_millis: 4.704, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7509, kappa: 0.2634, kb_relative_information_score: 85.8746, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7565, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9247, scimark_benchmark: 1284.6322, usercpu_time_millis: 18.082, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 15.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7623, kappa: 0.302, kb_relative_information_score: 96.3498, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7636, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1271.7823, usercpu_time_millis: 9.23, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 8.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7632, kappa: 0.3052, kb_relative_information_score: 93.5249, mean_absolute_error: 0.3059, 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: 0.8426, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.922, scimark_benchmark: 1262.1957, usercpu_time_millis: 9.944, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 8.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7638, kappa: 0.3039, kb_relative_information_score: 84.3243, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7687, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9211, scimark_benchmark: 1284.6734, usercpu_time_millis: 4.516, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7515, kappa: 0.2754, kb_relative_information_score: 89.8043, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7469, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9489, scimark_benchmark: 1279.2928, usercpu_time_millis: 5.653, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 5.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7274, kappa: 0.2113, kb_relative_information_score: 72.6344, mean_absolute_error: 0.2997, 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: 0.8256, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9994, scimark_benchmark: 1304.2061, usercpu_time_millis: 29.265, usercpu_time_millis_testing: 2.616, usercpu_time_millis_training: 26.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7471, kappa: 0.2595, kb_relative_information_score: 99.3252, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.935, scimark_benchmark: 1306.5823, usercpu_time_millis: 23.603, usercpu_time_millis_testing: 2.454, usercpu_time_millis_training: 21.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.7432, kappa: 0.2474, kb_relative_information_score: 93.1548, mean_absolute_error: 0.3013, 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: 0.8299, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9453, scimark_benchmark: 1291.7794, usercpu_time_millis: 7.172, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 6.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.767, kappa: 0.317, kb_relative_information_score: 101.049, mean_absolute_error: 0.3022, 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: 0.8324, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9228, scimark_benchmark: 1303.5886, usercpu_time_millis: 13.429, usercpu_time_millis_testing: 1.601, usercpu_time_millis_training: 11.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.746, kappa: 0.2569, kb_relative_information_score: 95.8852, mean_absolute_error: 0.3001, 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: 0.8267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9451, scimark_benchmark: 1276.2484, usercpu_time_millis: 15.498, usercpu_time_millis_testing: 1.717, usercpu_time_millis_training: 13.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 101.6025, mean_absolute_error: 0.3016, 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: 0.8308, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9255, scimark_benchmark: 1289.6855, usercpu_time_millis: 16.254, usercpu_time_millis_testing: 1.784, usercpu_time_millis_training: 14.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7576, kappa: 0.2919, kb_relative_information_score: 102.3494, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7547, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9312, scimark_benchmark: 1262.0569, usercpu_time_millis: 10.339, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 9.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 77.8798, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9823, scimark_benchmark: 1283.0517, usercpu_time_millis: 33.893, usercpu_time_millis_testing: 3.514, usercpu_time_millis_training: 30.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7542, kappa: 0.279, kb_relative_information_score: 96.2388, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.753, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9285, scimark_benchmark: 1285.3385, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7332, kappa: 0.2198, kb_relative_information_score: 82.6594, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7263, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.975, scimark_benchmark: 1299.1007, usercpu_time_millis: 32.534, usercpu_time_millis_testing: 3.569, usercpu_time_millis_training: 28.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7699, kappa: 0.3257, kb_relative_information_score: 96.2442, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7713, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9212, scimark_benchmark: 1298.4812, usercpu_time_millis: 4.877, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 4.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7426, kappa: 0.2406, kb_relative_information_score: 92.7345, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.743, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9322, scimark_benchmark: 1291.9786, usercpu_time_millis: 21.781, usercpu_time_millis_testing: 2.506, usercpu_time_millis_training: 19.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7707, kappa: 0.3249, kb_relative_information_score: 84.1063, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7764, predictive_accuracy: 0.7968, prior_entropy: 0.7928, recall: 0.7968, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.92, scimark_benchmark: 1256.0539, usercpu_time_millis: 4.292, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 3.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7416, kappa: 0.2388, kb_relative_information_score: 90.3062, mean_absolute_error: 0.3059, 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: 0.8425, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9384, scimark_benchmark: 1288.7127, usercpu_time_millis: 28.767, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 25.339,

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