Task
Supervised Classification on flags

Supervised Classification on flags

Task 3875 Supervised Classification flags 140 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.6558, kappa: 0.233, kb_relative_information_score: 51.4015, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.663, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.7128, kappa: 0.3671, kb_relative_information_score: 56.0813, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.711, predictive_accuracy: 0.7165, prior_entropy: 0.9403, recall: 0.7165, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.6503, kappa: 0.2219, kb_relative_information_score: 41.5993, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6629, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7045, kappa: 0.3414, kb_relative_information_score: 55.8136, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7128, predictive_accuracy: 0.7216, prior_entropy: 0.9403, recall: 0.7216, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6725, kappa: 0.2745, kb_relative_information_score: 27.1836, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.67, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.65, kappa: 0.2209, kb_relative_information_score: 24.4361, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6485, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6632, kappa: 0.2618, kb_relative_information_score: 39.4957, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6618, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7131, kappa: 0.3783, kb_relative_information_score: 68.58, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7154, predictive_accuracy: 0.7113, prior_entropy: 0.9403, recall: 0.7113, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.505, kb_relative_information_score: 15.1555, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7207, kappa: 0.3819, kb_relative_information_score: 72.2219, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7196, predictive_accuracy: 0.7268, prior_entropy: 0.9403, recall: 0.7268, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.5453, kappa: 0.0161, kb_relative_information_score: 18.1675, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.5557, predictive_accuracy: 0.6237, prior_entropy: 0.9403, recall: 0.6237, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.6674, kappa: 0.2586, kb_relative_information_score: 35.7749, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6702, predictive_accuracy: 0.6856, prior_entropy: 0.9403, recall: 0.6856, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.6919, kappa: 0.3578, kb_relative_information_score: 49.389, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7141, predictive_accuracy: 0.6856, prior_entropy: 0.9403, recall: 0.6856, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.426, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7301, kappa: 0.4075, kb_relative_information_score: 67.0156, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7288, predictive_accuracy: 0.732, prior_entropy: 0.9403, recall: 0.732, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.505, kb_relative_information_score: 8.7589, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.6828, kappa: 0.297, kb_relative_information_score: 25.7643, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.717, predictive_accuracy: 0.7165, prior_entropy: 0.9403, recall: 0.7165, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.505, kb_relative_information_score: -0.1441, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.505, kb_relative_information_score: 22.2292, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7186, kappa: 0.3913, kb_relative_information_score: 60.1883, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7216, predictive_accuracy: 0.7165, prior_entropy: 0.9403, recall: 0.7165, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7243, kappa: 0.3941, kb_relative_information_score: 46.5249, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7229, predictive_accuracy: 0.7268, prior_entropy: 0.9403, recall: 0.7268, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6632, kappa: 0.2618, kb_relative_information_score: 39.8833, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6618, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6783, kappa: 0.2829, kb_relative_information_score: 61.8337, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6823, predictive_accuracy: 0.6959, prior_entropy: 0.9403, recall: 0.6959, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7383, kappa: 0.4227, kb_relative_information_score: 80.5249, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7371, predictive_accuracy: 0.7423, prior_entropy: 0.9403, recall: 0.7423, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7724, kappa: 0.5019, kb_relative_information_score: 94.4048, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7718, predictive_accuracy: 0.7732, prior_entropy: 0.9403, recall: 0.7732, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7065, kappa: 0.346, kb_relative_information_score: 58.9907, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7124, predictive_accuracy: 0.7216, prior_entropy: 0.9403, recall: 0.7216, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7279, kappa: 0.3996, kb_relative_information_score: 76.3434, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7264, predictive_accuracy: 0.732, prior_entropy: 0.9403, recall: 0.732, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.7383, kappa: 0.432, kb_relative_information_score: 63.9817, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7399, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.505, kb_relative_information_score: 37.963, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.2458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7375, kappa: 0.4283, kb_relative_information_score: 67.1466, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.738, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7111, kappa: 0.3576, kb_relative_information_score: 29.2027, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7398, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6632, kappa: 0.2618, kb_relative_information_score: 39.8833, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6618, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6632, kappa: 0.2618, kb_relative_information_score: 39.8833, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6618, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0241, scimark_benchmark: 1150.4212, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4189, f_measure: 0.4925, kappa: -0.0505, kb_relative_information_score: -5.3003, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4091, predictive_accuracy: 0.6186, prior_entropy: 0.9403, recall: 0.6186, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7113, kappa: 0.3702, kb_relative_information_score: 40.8598, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7113, predictive_accuracy: 0.7113, prior_entropy: 0.9403, recall: 0.7113, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7028, kappa: 0.3561, kb_relative_information_score: 62.7974, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7052, predictive_accuracy: 0.701, prior_entropy: 0.9403, recall: 0.701, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7115, kappa: 0.3628, kb_relative_information_score: 71.6926, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7098, predictive_accuracy: 0.7165, prior_entropy: 0.9403, recall: 0.7165, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0622, scimark_benchmark: 1922.3298, usercpu_time_millis: 4171.875, usercpu_time_millis_training: 4171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.5552, kappa: 0.1139, kb_relative_information_score: -4.9328, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6018, predictive_accuracy: 0.5464, prior_entropy: 0.9403, recall: 0.5464, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.6735, root_relative_squared_error: 1.4069, scimark_benchmark: 1280.301, usercpu_time_millis: 10796.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 10781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7478, kappa: 0.4507, kb_relative_information_score: 83.1164, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7483, predictive_accuracy: 0.7474, prior_entropy: 0.9403, recall: 0.7474, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0498, scimark_benchmark: 1280.301, usercpu_time_millis: 7640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.4873, kappa: -0.0902, kb_relative_information_score: 15.3863, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4332, predictive_accuracy: 0.5928, prior_entropy: 0.9403, recall: 0.5928, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.6381, root_relative_squared_error: 1.333, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.5356, kappa: -0.0343, kb_relative_information_score: -0.4174, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.525, predictive_accuracy: 0.5567, prior_entropy: 0.9403, recall: 0.5567, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.6658, root_relative_squared_error: 1.3908, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.739, kappa: 0.4356, kb_relative_information_score: 72.1467, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7419, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0018, scimark_benchmark: 1862.8608, usercpu_time_millis: 2640.625, usercpu_time_millis_training: 2640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.739, kappa: 0.4356, kb_relative_information_score: 72.1467, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7419, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0018, scimark_benchmark: 1787.9841, usercpu_time_millis: 3062.5, usercpu_time_millis_training: 3062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.739, kappa: 0.4356, kb_relative_information_score: 72.1467, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7419, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0018, scimark_benchmark: 1647.235, usercpu_time_millis: 2720, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.5356, kappa: -0.0343, kb_relative_information_score: -0.4174, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.525, predictive_accuracy: 0.5567, prior_entropy: 0.9403, recall: 0.5567, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.6658, root_relative_squared_error: 1.3908, scimark_benchmark: 1595.324, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.4873, kappa: -0.0902, kb_relative_information_score: 15.3863, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4332, predictive_accuracy: 0.5928, prior_entropy: 0.9403, recall: 0.5928, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.6381, root_relative_squared_error: 1.333, scimark_benchmark: 1657.7938, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.5552, kappa: 0.1139, kb_relative_information_score: -4.9328, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6018, predictive_accuracy: 0.5464, prior_entropy: 0.9403, recall: 0.5464, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.6735, root_relative_squared_error: 1.4069, scimark_benchmark: 1697.6054, usercpu_time_millis: 8000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7478, kappa: 0.4507, kb_relative_information_score: 83.1164, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7483, predictive_accuracy: 0.7474, prior_entropy: 0.9403, recall: 0.7474, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0498, scimark_benchmark: 1676.3898, usercpu_time_millis: 6110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7161, kappa: 0.3723, kb_relative_information_score: 73.6812, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7146, predictive_accuracy: 0.7216, prior_entropy: 0.9403, recall: 0.7216, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.042, scimark_benchmark: 1665.974, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7556, kappa: 0.4627, kb_relative_information_score: 84.628, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7544, predictive_accuracy: 0.7577, prior_entropy: 0.9403, recall: 0.7577, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9671, scimark_benchmark: 1384.3139, usercpu_time_millis: 11720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11710,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6827, kappa: 0.2926, kb_relative_information_score: 60.8713, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6883, predictive_accuracy: 0.701, prior_entropy: 0.9403, recall: 0.701, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.999, scimark_benchmark: 1198.0781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.732, kappa: 0.4152, kb_relative_information_score: 76.3434, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.732, predictive_accuracy: 0.732, prior_entropy: 0.9403, recall: 0.732, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0815, scimark_benchmark: 1101.1146, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7553, kappa: 0.4738, kb_relative_information_score: 79.4424, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7605, predictive_accuracy: 0.7526, prior_entropy: 0.9403, recall: 0.7526, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9582, scimark_benchmark: 1333.645, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6711, kappa: 0.2849, kb_relative_information_score: 48.5301, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6723, predictive_accuracy: 0.6701, prior_entropy: 0.9403, recall: 0.6701, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.194, scimark_benchmark: 1392.232, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6804, kappa: 0.3027, kb_relative_information_score: 53.7861, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6804, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.1644, scimark_benchmark: 1372.0654, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7405, kappa: 0.4303, kb_relative_information_score: 69.7437, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7393, predictive_accuracy: 0.7423, prior_entropy: 0.9403, recall: 0.7423, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8639, scimark_benchmark: 1169.0187, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.727, kappa: 0.3929, kb_relative_information_score: 44.1226, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7294, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9256, scimark_benchmark: 958.6494, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.747, kappa: 0.4471, kb_relative_information_score: 83.1164, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7466, predictive_accuracy: 0.7474, prior_entropy: 0.9403, recall: 0.7474, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0498, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6619, kappa: 0.2569, kb_relative_information_score: 28.1445, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6598, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0024, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7045, kappa: 0.3414, kb_relative_information_score: 35.0926, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7128, predictive_accuracy: 0.7216, prior_entropy: 0.9403, recall: 0.7216, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9022, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6461, kappa: 0.2122, kb_relative_information_score: 42.9571, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6561, predictive_accuracy: 0.6753, prior_entropy: 0.9403, recall: 0.6753, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0299, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6632, kappa: 0.2618, kb_relative_information_score: 39.8833, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6618, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0241, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6827, kappa: 0.2926, kb_relative_information_score: 60.8713, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6883, predictive_accuracy: 0.701, prior_entropy: 0.9403, recall: 0.701, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.999, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7367, kappa: 0.4246, kb_relative_information_score: 78.6011, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7363, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.071, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.747, kappa: 0.4471, kb_relative_information_score: 83.1164, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7466, predictive_accuracy: 0.7474, prior_entropy: 0.9403, recall: 0.7474, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0498, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7697, kappa: 0.502, kb_relative_information_score: 84.1366, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7725, predictive_accuracy: 0.768, prior_entropy: 0.9403, recall: 0.768, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9416, scimark_benchmark: 1925.3565, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6711, kappa: 0.2849, kb_relative_information_score: 48.53, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6723, predictive_accuracy: 0.6701, prior_entropy: 0.9403, recall: 0.6701, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.194, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6804, kappa: 0.3027, kb_relative_information_score: 53.7861, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6804, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.1644, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7405, kappa: 0.4303, kb_relative_information_score: 69.7437, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7393, predictive_accuracy: 0.7423, prior_entropy: 0.9403, recall: 0.7423, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8639, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.7207, kappa: 0.3819, kb_relative_information_score: 41.9529, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7196, predictive_accuracy: 0.7268, prior_entropy: 0.9403, recall: 0.7268, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9258, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6665, kappa: 0.2659, kb_relative_information_score: 27.7584, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6641, predictive_accuracy: 0.6701, prior_entropy: 0.9403, recall: 0.6701, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0011, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7001, kappa: 0.3315, kb_relative_information_score: 38.2361, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7065, predictive_accuracy: 0.7165, prior_entropy: 0.9403, recall: 0.7165, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8912, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6461, kappa: 0.2122, kb_relative_information_score: 42.9571, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6561, predictive_accuracy: 0.6753, prior_entropy: 0.9403, recall: 0.6753, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0299, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6632, kappa: 0.2618, kb_relative_information_score: 39.8833, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6618, predictive_accuracy: 0.6649, prior_entropy: 0.9403, recall: 0.6649, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0241, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6711, kappa: 0.2849, kb_relative_information_score: 48.53, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6723, predictive_accuracy: 0.6701, prior_entropy: 0.9403, recall: 0.6701, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.194, scimark_benchmark: 1370.9452, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6725, kappa: 0.2745, kb_relative_information_score: 27.1836, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.67, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9735, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7243, kappa: 0.3941, kb_relative_information_score: 63.6367, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7229, predictive_accuracy: 0.7268, prior_entropy: 0.9403, recall: 0.7268, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0021, scimark_benchmark: 1834.908, usercpu_time_millis: 703.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7499, kappa: 0.4495, kb_relative_information_score: 70.7505, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7486, predictive_accuracy: 0.7526, prior_entropy: 0.9403, recall: 0.7526, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8541, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7499, kappa: 0.4495, kb_relative_information_score: 70.7505, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7486, predictive_accuracy: 0.7526, prior_entropy: 0.9403, recall: 0.7526, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8541, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.505, kb_relative_information_score: 22.5227, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9238, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.505, kb_relative_information_score: 0.1315, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0001, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.505, kb_relative_information_score: 23.0137, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0003, scimark_benchmark: 1788.6668, usercpu_time_millis: 437.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.505, kb_relative_information_score: 22.2393, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9237, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.505, kb_relative_information_score: 37.963, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.2458, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.732, kappa: 0.4152, kb_relative_information_score: 76.3434, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.732, predictive_accuracy: 0.732, prior_entropy: 0.9403, recall: 0.732, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0815, scimark_benchmark: 1078.7646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6711, kappa: 0.2849, kb_relative_information_score: 48.53, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6723, predictive_accuracy: 0.6701, prior_entropy: 0.9403, recall: 0.6701, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.194, scimark_benchmark: 1071.3188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6711, kappa: 0.2849, kb_relative_information_score: 48.53, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6723, predictive_accuracy: 0.6701, prior_entropy: 0.9403, recall: 0.6701, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.194, scimark_benchmark: 1027.6656, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7135, kappa: 0.3613, kb_relative_information_score: 42.4947, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7261, predictive_accuracy: 0.732, prior_entropy: 0.9403, recall: 0.732, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9258, scimark_benchmark: 872.3758, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.505, kb_relative_information_score: 37.963, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.2458, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7414, kappa: 0.434, kb_relative_information_score: 80.8588, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7407, predictive_accuracy: 0.7423, prior_entropy: 0.9403, recall: 0.7423, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0605, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.5453, kappa: 0.0161, kb_relative_information_score: 18.1675, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.5557, predictive_accuracy: 0.6237, prior_entropy: 0.9403, recall: 0.6237, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9278, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6783, kappa: 0.2829, kb_relative_information_score: 62.1639, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.6823, predictive_accuracy: 0.6959, prior_entropy: 0.9403, recall: 0.6959, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9908, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.505, kb_relative_information_score: 19.655, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9267, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.6558, kappa: 0.233, kb_relative_information_score: 51.4015, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.663, predictive_accuracy: 0.6804, prior_entropy: 0.9403, recall: 0.6804, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0117, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.505, kb_relative_information_score: 0.1499, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0001, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7111, kappa: 0.3576, kb_relative_information_score: 29.2027, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7398, predictive_accuracy: 0.7371, prior_entropy: 0.9403, recall: 0.7371, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9057, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.505, kb_relative_information_score: 0.1315, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0001, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.505, kb_relative_information_score: 0.1315, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0001, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.505, kb_relative_information_score: 22.2292, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.4152, predictive_accuracy: 0.6443, prior_entropy: 0.9403, recall: 0.6443, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9237, scimark_benchmark: 1860.4354,

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