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: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.4616, 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: 1945.0259, usercpu_time_millis: 1.082, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7416, kappa: 0.2379, kb_relative_information_score: 90.161, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7413, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9383, scimark_benchmark: 1803.4982, usercpu_time_millis: 5.909, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 5.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 95.5652, mean_absolute_error: 0.3013, 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: 0.83, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9411, scimark_benchmark: 1752.3811, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.6671, kappa: 0.02, kb_relative_information_score: 56.4444, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7253, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366, scimark_benchmark: 1681.359, usercpu_time_millis: 1.57, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.5701, 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: 1986.008, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7441, kappa: 0.2509, kb_relative_information_score: 89.3369, mean_absolute_error: 0.3003, 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: 0.8271, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9564, scimark_benchmark: 1825.6866, usercpu_time_millis: 6.539, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 5.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6591, kb_relative_information_score: 8.7519, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9523, scimark_benchmark: 1812.8781, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.6732, kappa: 0.0367, kb_relative_information_score: 50.5974, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7541, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.936, scimark_benchmark: 1849.9051, usercpu_time_millis: 0.989, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.719, kappa: 0.1632, kb_relative_information_score: 71.0335, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7376, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9264, scimark_benchmark: 1927.7214, usercpu_time_millis: 2.088, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7471, kappa: 0.2595, kb_relative_information_score: 97.5045, mean_absolute_error: 0.3013, 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: 0.8299, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378, scimark_benchmark: 1815.4241, usercpu_time_millis: 6.769, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 5.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.7589, kappa: 0.2942, kb_relative_information_score: 98.1851, mean_absolute_error: 0.3004, 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: 0.8275, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9428, scimark_benchmark: 1844.7258, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.7608, kappa: 0.3001, kb_relative_information_score: 102.1599, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9284, scimark_benchmark: 1820.1269, usercpu_time_millis: 1.558, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6591, kb_relative_information_score: 27.9885, mean_absolute_error: 0.3393, 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: 0.9346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.952, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7589, kappa: 0.2942, kb_relative_information_score: 95.9245, mean_absolute_error: 0.3039, 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: 0.8372, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9274, scimark_benchmark: 1827.5744, usercpu_time_millis: 1.883, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 99.707, mean_absolute_error: 0.3023, 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: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9281, scimark_benchmark: 1838.2372, usercpu_time_millis: 5.13, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 4.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7488, kappa: 0.2555, kb_relative_information_score: 81.1127, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9232, scimark_benchmark: 1831.6625, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.7168, kappa: 0.1816, kb_relative_information_score: 38.0639, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7069, predictive_accuracy: 0.7353, prior_entropy: 0.7928, recall: 0.7353, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.0531, scimark_benchmark: 1836.1651, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7456, kappa: 0.2583, kb_relative_information_score: 86.4605, mean_absolute_error: 0.3023, 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: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.9566, scimark_benchmark: 1812.7682, usercpu_time_millis: 7.269, usercpu_time_millis_testing: 0.703, usercpu_time_millis_training: 6.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.6591, kb_relative_information_score: -0.509, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1880.6451, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.6591, kb_relative_information_score: -0.2734, 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: 1705.7547, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7456, kappa: 0.2583, kb_relative_information_score: 88.9389, mean_absolute_error: 0.3025, 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: 0.8333, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9509, scimark_benchmark: 1818.5549, usercpu_time_millis: 3.634, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 3.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6591, kb_relative_information_score: 21.2821, mean_absolute_error: 0.3378, 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: 0.9305, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9505, scimark_benchmark: 1829.632, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6717, kappa: 0.0313, kb_relative_information_score: 55.3551, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7158, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9346, scimark_benchmark: 1753.0518, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.6331, 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: 1747.6007, usercpu_time_millis: 1.533, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7317, kappa: 0.2201, kb_relative_information_score: 73.5841, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7236, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.976, scimark_benchmark: 1923.3092, usercpu_time_millis: 9.019, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 8.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7471, kappa: 0.2595, kb_relative_information_score: 99.3206, mean_absolute_error: 0.3006, 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: 0.8281, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9355, scimark_benchmark: 1771.565, usercpu_time_millis: 4.135, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 3.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7381, kappa: 0.2412, kb_relative_information_score: 71.804, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7306, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9801, scimark_benchmark: 1919.3025, usercpu_time_millis: 6.244, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 5.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: -0.172, 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: 1775.4919, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7507, kappa: 0.2721, kb_relative_information_score: 91.519, mean_absolute_error: 0.3034, 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: 0.8358, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9414, scimark_benchmark: 1913.2782, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7595, kappa: 0.2978, kb_relative_information_score: 93.0413, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7567, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9244, scimark_benchmark: 1845.264, usercpu_time_millis: 3.183, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 2.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7435, kappa: 0.2458, kb_relative_information_score: 89.9166, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7411, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9376, scimark_benchmark: 1852.5429, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.2373, 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: 1849.3255, usercpu_time_millis: 1.205, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.8603, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1850.6054, usercpu_time_millis: 1.602, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6591, kb_relative_information_score: 17.2625, mean_absolute_error: 0.3324, 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: 0.9156, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9458, scimark_benchmark: 1850.5475, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7433, kappa: 0.2539, kb_relative_information_score: 82.2662, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7369, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.9585, scimark_benchmark: 1747.0884, usercpu_time_millis: 5.849, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 5.118,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6591, kb_relative_information_score: 11.0289, mean_absolute_error: 0.3288, 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: 0.9056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.9501, scimark_benchmark: 1854.2898, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 100.018, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.929, scimark_benchmark: 1850.7658, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6591, kb_relative_information_score: 22.3279, mean_absolute_error: 0.3367, 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: 0.9275, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9491, scimark_benchmark: 1876.6882, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.6591, kb_relative_information_score: 23.651, mean_absolute_error: 0.3431, 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: 0.9451, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9578, scimark_benchmark: 1793.0344, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7324, kappa: 0.2305, kb_relative_information_score: 62.7281, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7244, predictive_accuracy: 0.7473, prior_entropy: 0.7928, recall: 0.7473, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125, scimark_benchmark: 1782.1957, usercpu_time_millis: 8.188, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 7.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6694, kappa: 0.0257, kb_relative_information_score: 54.0518, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7191, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9356, scimark_benchmark: 1748.5037, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.713, kappa: 0.185, kb_relative_information_score: 53.0096, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7056, predictive_accuracy: 0.7233, prior_entropy: 0.7928, recall: 0.7233, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4656, root_relative_squared_error: 1.0934, scimark_benchmark: 1804.5285, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.4414, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1812.6431, usercpu_time_millis: 1.012, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7406, kappa: 0.2343, kb_relative_information_score: 88.489, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7409, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9319, scimark_benchmark: 1759.0676, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.7393, kappa: 0.2353, kb_relative_information_score: 86.4843, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7349, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.9551, scimark_benchmark: 1756.4603, usercpu_time_millis: 9.277, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 8.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.9322, 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: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1752.6185, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.7259, kappa: 0.2108, kb_relative_information_score: 60.9125, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7173, predictive_accuracy: 0.742, prior_entropy: 0.7928, recall: 0.742, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0176, scimark_benchmark: 1749.6698, usercpu_time_millis: 15.117, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 13.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6702, kappa: 0.0284, kb_relative_information_score: 54.2793, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.742, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9348, scimark_benchmark: 1767.061, usercpu_time_millis: 1.634, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.0679, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1769.0871, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 21.1409, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9459, scimark_benchmark: 1771.5143, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7478, kappa: 0.2551, kb_relative_information_score: 73.7906, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7507, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9257, scimark_benchmark: 1779.2542, usercpu_time_millis: 1.447, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7549, kappa: 0.2828, kb_relative_information_score: 102.5383, mean_absolute_error: 0.3004, 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: 0.8276, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9292, scimark_benchmark: 1864.9656, usercpu_time_millis: 3.697, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7475, kappa: 0.2573, kb_relative_information_score: 91.5603, mean_absolute_error: 0.3068, 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: 0.8449, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9308, scimark_benchmark: 2145.5073, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 2.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.6954, kappa: 0.0942, kb_relative_information_score: 59.9098, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7216, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9331, scimark_benchmark: 1806.8889, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6884, kappa: 0.0772, kb_relative_information_score: 57.7186, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9297, scimark_benchmark: 1764.9339, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 26.8875, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9516, scimark_benchmark: 1868.2468, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.6591, kb_relative_information_score: 9.9194, mean_absolute_error: 0.3288, 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: 0.9056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9513, scimark_benchmark: 1864.4376, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.0962, 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: 1749.8305, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.7619, kappa: 0.3028, kb_relative_information_score: 97.6134, mean_absolute_error: 0.3038, 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: 0.8367, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9254, scimark_benchmark: 1744.8768, usercpu_time_millis: 3.207, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6776, kappa: 0.0477, kb_relative_information_score: 61.022, mean_absolute_error: 0.3195, 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: 0.8802, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9322, scimark_benchmark: 1761.2107, usercpu_time_millis: 2.153, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.7297, kappa: 0.2152, kb_relative_information_score: 70.9388, mean_absolute_error: 0.3037, 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: 0.8365, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.419, root_relative_squared_error: 0.984, scimark_benchmark: 1738.6494, usercpu_time_millis: 2.683, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7406, kappa: 0.2334, kb_relative_information_score: 80.2178, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7423, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9266, scimark_benchmark: 1751.3188, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7568, kappa: 0.2887, kb_relative_information_score: 103.4425, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7543, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9285, scimark_benchmark: 1726.7723, usercpu_time_millis: 3.306, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 2.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.6591, kb_relative_information_score: 28.6037, mean_absolute_error: 0.339, 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: 0.9337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.405, root_relative_squared_error: 0.9512, scimark_benchmark: 1751.6968, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7608, kappa: 0.3001, kb_relative_information_score: 95.0929, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7593, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9234, scimark_benchmark: 1737.7605, usercpu_time_millis: 2.542, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 2.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: -0.0448, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7521, kappa: 0.2735, kb_relative_information_score: 100.0674, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7498, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9346, scimark_benchmark: 1722.2989, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6762, kappa: 0.045, kb_relative_information_score: 55.3399, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7634, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9325, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.574,

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