OpenML
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: 0.7195, f_measure: 0.7523, kappa: 0.2729, kb_relative_information_score: 92.0353, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.751, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.941, scimark_benchmark: 1993.531, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7701, kappa: 0.3327, kb_relative_information_score: 92.1511, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.767, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9245, scimark_benchmark: 1855.063, usercpu_time_millis: 1.44, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7544, kappa: 0.2839, kb_relative_information_score: 99.1129, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7503, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9373, scimark_benchmark: 1878.9336, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.736, kappa: 0.2293, kb_relative_information_score: 81.166, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7292, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.9583, scimark_benchmark: 2087.737, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6591, kb_relative_information_score: 0.6599, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1956.3943, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5896, 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: 1756.9921, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7669, kappa: 0.321, kb_relative_information_score: 87.4731, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7643, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9335, scimark_benchmark: 1739.682, usercpu_time_millis: 1.903, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7528, kappa: 0.2774, kb_relative_information_score: 93.9441, mean_absolute_error: 0.3021, 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: 0.8321, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9422, scimark_benchmark: 1866.8414, usercpu_time_millis: 3.009, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5849, 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: 1763.7636, usercpu_time_millis: 0.578, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7646, kappa: 0.3118, kb_relative_information_score: 96.0909, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7632, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9274, scimark_benchmark: 1750.7876, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7321, kappa: 0.2254, kb_relative_information_score: 65.2767, mean_absolute_error: 0.3049, 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: 0.8398, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9974, scimark_benchmark: 2002.0958, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7638, kappa: 0.3087, kb_relative_information_score: 83.7384, mean_absolute_error: 0.3092, 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: 0.8516, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9223, scimark_benchmark: 1747.4058, usercpu_time_millis: 1.406, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.7456, kappa: 0.2504, kb_relative_information_score: 89.7644, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7456, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9373, scimark_benchmark: 1754.0548, usercpu_time_millis: 1.657, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7542, kappa: 0.279, kb_relative_information_score: 94.0548, mean_absolute_error: 0.3045, 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: 0.8388, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9283, scimark_benchmark: 1746.0413, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7429, kappa: 0.249, kb_relative_information_score: 93.9886, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9509, scimark_benchmark: 1936.2955, usercpu_time_millis: 5.315, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 4.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6591, kb_relative_information_score: 15.1915, mean_absolute_error: 0.3323, 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: 0.9153, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9477, scimark_benchmark: 2029.7784, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.0965, 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: 1855.0344, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.737, kappa: 0.2318, kb_relative_information_score: 78.6092, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7306, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9659, scimark_benchmark: 1851.3305, usercpu_time_millis: 5.104, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7589, kappa: 0.2942, kb_relative_information_score: 94.0286, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7574, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9246, scimark_benchmark: 1758.6369, usercpu_time_millis: 2.82, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7587, kappa: 0.2946, kb_relative_information_score: 93.8336, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7562, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924, scimark_benchmark: 1769.9193, usercpu_time_millis: 2.318, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 95.0821, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9386, scimark_benchmark: 1797.8866, usercpu_time_millis: 3.805, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 3.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7718, kappa: 0.3316, kb_relative_information_score: 107.3649, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7732, predictive_accuracy: 0.7941, prior_entropy: 0.7928, recall: 0.7941, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9325, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.901, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7619, kappa: 0.3028, kb_relative_information_score: 102.7104, mean_absolute_error: 0.3011, 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: 0.8293, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9245, scimark_benchmark: 1758.5057, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6591, kb_relative_information_score: 14.437, mean_absolute_error: 0.3335, 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: 0.9186, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.404, root_relative_squared_error: 0.9486, scimark_benchmark: 1778.3618, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6591, kb_relative_information_score: 9.1766, mean_absolute_error: 0.329, 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: 0.9062, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.952, scimark_benchmark: 1785.8209, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7382, kappa: 0.223, kb_relative_information_score: 69.313, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9284, scimark_benchmark: 1756.1955, usercpu_time_millis: 3.071, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 2.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7475, kappa: 0.2573, kb_relative_information_score: 90.6484, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7464, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366, scimark_benchmark: 1732.6611, usercpu_time_millis: 7.517, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 6.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.7653, kappa: 0.3149, kb_relative_information_score: 91.7257, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7635, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9218, scimark_benchmark: 1751.5974, usercpu_time_millis: 2.87, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6887, kappa: 0.0768, kb_relative_information_score: 57.3126, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7311, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9308, scimark_benchmark: 1790.2483, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 78.9988, mean_absolute_error: 0.3037, 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: 0.8365, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.9646, scimark_benchmark: 1751.6968, usercpu_time_millis: 5.633, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 5.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7523, kappa: 0.2729, kb_relative_information_score: 94.9631, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.751, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342, scimark_benchmark: 1750.7876, usercpu_time_millis: 4.685, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 4.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.7447, kappa: 0.2443, kb_relative_information_score: 83.8727, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7501, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9252, scimark_benchmark: 1752.1591, usercpu_time_millis: 3.412, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 2.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6591, kb_relative_information_score: 67.0496, mean_absolute_error: 0.3144, 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: 0.8661, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.935, scimark_benchmark: 1750.7876, usercpu_time_millis: 1.447, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7429, kappa: 0.249, kb_relative_information_score: 91.4117, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9451, scimark_benchmark: 1752.6238, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6591, kb_relative_information_score: 0.6884, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1748.552, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6591, kb_relative_information_score: 0.7659, 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: 1850.6699, usercpu_time_millis: 0.632, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6591, kb_relative_information_score: -0.422, 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: 1855.3164, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.73, 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: 1766.8215, usercpu_time_millis: 0.303, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 25.0508, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.9422, scimark_benchmark: 1796.054, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6591, kb_relative_information_score: 9.6652, mean_absolute_error: 0.3295, 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: 0.9075, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.405, root_relative_squared_error: 0.9511, scimark_benchmark: 1801.468, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7562, kappa: 0.285, kb_relative_information_score: 101.6608, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.755, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.926, scimark_benchmark: 1767.8944, usercpu_time_millis: 3.196, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7604, kappa: 0.296, kb_relative_information_score: 91.1335, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7616, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9205, scimark_benchmark: 1844.0788, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5104, 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: 1780.779, usercpu_time_millis: 1.156, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7547, kappa: 0.2833, kb_relative_information_score: 101.1912, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7513, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9316, scimark_benchmark: 1780.2266, usercpu_time_millis: 3.22, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 2.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7437, kappa: 0.2433, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7448, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9256, scimark_benchmark: 1888.1109, usercpu_time_millis: 3.578, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 3.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.7369, kappa: 0.2327, kb_relative_information_score: 82.3303, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.73, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9644, scimark_benchmark: 1762.3517, usercpu_time_millis: 4.824, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 4.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7664, kappa: 0.3177, kb_relative_information_score: 92.3588, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7651, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9213, scimark_benchmark: 1811.3339, usercpu_time_millis: 1.946, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7426, kappa: 0.2415, kb_relative_information_score: 89.0534, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.9402, scimark_benchmark: 1787.3513, usercpu_time_millis: 4.999, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 4.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6912, kappa: 0.0851, kb_relative_information_score: 52.0096, mean_absolute_error: 0.32, 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: 0.8814, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9327, scimark_benchmark: 1779.5997, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.7352, kappa: 0.2328, kb_relative_information_score: 72.7622, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7274, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9711, scimark_benchmark: 1734.693, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.7218, kappa: 0.2013, kb_relative_information_score: 54.353, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7131, predictive_accuracy: 0.7366, prior_entropy: 0.7928, recall: 0.7366, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4428, root_relative_squared_error: 1.0398, scimark_benchmark: 1770.3807, usercpu_time_millis: 9.061, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 8.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 97.7134, mean_absolute_error: 0.3016, 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: 0.8309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9353, scimark_benchmark: 1756.943, usercpu_time_millis: 1.439, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.6032, 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: 0.9984, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1, scimark_benchmark: 1734.3333, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6791, kappa: 0.0532, kb_relative_information_score: 51.3247, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7708, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9352, scimark_benchmark: 1735.1328, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7602, kappa: 0.2964, kb_relative_information_score: 98.6529, mean_absolute_error: 0.3035, 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: 0.8361, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1777.823, usercpu_time_millis: 1.789, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.6616, kappa: 0.0059, kb_relative_information_score: 36.4961, mean_absolute_error: 0.3328, 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: 0.9167, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9429, scimark_benchmark: 1829.6872, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.7309, kappa: 0.2167, kb_relative_information_score: 73.8845, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7228, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9761, scimark_benchmark: 1784.8057, usercpu_time_millis: 3.19, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7373, kappa: 0.2213, kb_relative_information_score: 70.6769, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7431, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9275, scimark_benchmark: 1757.6359, usercpu_time_millis: 2.028, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: -0.0006, 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: 1832.9035, usercpu_time_millis: 0.787, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.6591, kb_relative_information_score: 0.0833, 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: 0.9995, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1822.8041, usercpu_time_millis: 0.309, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 104.6027, mean_absolute_error: 0.3005, 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: 0.8277, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9237, scimark_benchmark: 1752.7644, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6591, kb_relative_information_score: 42.7438, mean_absolute_error: 0.3287, 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: 0.9053, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, scimark_benchmark: 1764.3311, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6819, kappa: 0.0584, kb_relative_information_score: 63.5719, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7291, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9295, scimark_benchmark: 1746.226, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.3327, 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: 1750.3731, usercpu_time_millis: 1.374, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7412, kappa: 0.2422, kb_relative_information_score: 95.9326, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7361, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9441, scimark_benchmark: 1870.1619, usercpu_time_millis: 5.654, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 5.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6776, kappa: 0.0477, kb_relative_information_score: 62.1622, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7367, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9331, scimark_benchmark: 1862.1704, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7297, kappa: 0.2152, kb_relative_information_score: 69.7159, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7212, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9851, scimark_benchmark: 1752.1145, usercpu_time_millis: 7.353, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 6.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.0243, 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: 1748.9805, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.809,

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