OpenML
Supervised Classification on autoPrice

Supervised Classification on autoPrice

Task 3622 Supervised Classification autoPrice 585 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

585 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.0231, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.336, scimark_benchmark: 936.6206, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.6359, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2987, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5049, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.2974, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 149.1492, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3077, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 146.5731, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3038, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.867, kappa: 0.7015, kb_relative_information_score: 111.3187, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8667, predictive_accuracy: 0.8679, prior_entropy: 0.9264, recall: 0.8679, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6941, scimark_benchmark: 943.2745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.0274, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3185, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 146.2184, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.3042, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.466, f_measure: 0.5253, kb_relative_information_score: -0.3177, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0005, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 142.4272, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3369, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5253, kb_relative_information_score: 33.1976, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4361, predictive_accuracy: 0.6604, prior_entropy: 0.9264, recall: 0.6604, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.2306, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9438, kappa: 0.8755, kb_relative_information_score: 134.6495, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9448, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.493, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 127.0852, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3708, scimark_benchmark: 947.9494, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9357, kappa: 0.8546, kb_relative_information_score: 118.1797, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.94, predictive_accuracy: 0.9371, prior_entropy: 0.9264, recall: 0.9371, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4697, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6895, kappa: 0.3029, kb_relative_information_score: 63.4055, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7939, predictive_accuracy: 0.7421, prior_entropy: 0.9264, recall: 0.7421, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0722, scimark_benchmark: 891.2195, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.5396, kappa: 0.0243, kb_relative_information_score: 35.5213, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7785, predictive_accuracy: 0.6667, prior_entropy: 0.9264, recall: 0.6667, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2191, scimark_benchmark: 942.1229, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.1489, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 889.9795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.1489, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 831.3777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.4244, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3326, scimark_benchmark: 943.2817, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.5036, kappa: -0.0845, kb_relative_information_score: 16.9319, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4258, predictive_accuracy: 0.6164, prior_entropy: 0.9264, recall: 0.6164, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.3079, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 144.3016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3132, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.8913, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3692, scimark_benchmark: 923.9763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.5396, kappa: 0.0243, kb_relative_information_score: 35.5213, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7785, predictive_accuracy: 0.6667, prior_entropy: 0.9264, recall: 0.6667, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2191, scimark_benchmark: 928.3108, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9682, kappa: 0.9283, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.97, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 939.0833, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 0.4408, build_memory: 1067752097.1069, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 137.3548, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.479, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.1848, build_memory: 754852002.3648, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 137.6075, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4771, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.1013, build_memory: 1082473704.1509, f_measure: 0.9435, kappa: 0.8744, kb_relative_information_score: 136.6389, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4794, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, build_cpu_time: 0.0506, build_memory: 1182947646.1384, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 135.4958, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4906, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0075, build_memory: 577218716.8805, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 150.5108, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.2959, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0113, build_memory: 359534227.6226, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 145.5863, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3823, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0248, build_memory: 1257936235.7233, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 145.1077, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.39, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0162, build_memory: 76826690.8679, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 145.1077, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.39, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 0.0198, build_memory: 1067501830.1384, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 145.1077, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.39, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.0041, build_memory: 394106962.9182, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.0044, build_memory: 89776424.3522, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.0021, build_memory: 1543143912.2013, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.0008, build_memory: 2284862831.6981, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, build_cpu_time: 0.0013, build_memory: 724317124.3774, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.0327, build_memory: 973540469.3836, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 142.9804, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2988, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.0209, build_memory: 425320949.1321, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 142.9804, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2988, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.0323, build_memory: 343885257.3585, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 142.9804, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2988, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.0365, build_memory: 741607184.1509, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 142.9804, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2988, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.0324, build_memory: 990530901.5346, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 142.9804, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2988, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 0.0737, build_memory: 556471950.8931, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 137.7633, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5024, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 0.0348, build_memory: 1456645203.522, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 139.5832, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4754, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 0.0289, build_memory: 363886379.6226, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 140.1625, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4641, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, build_cpu_time: 0.0092, build_memory: 1823544570.566, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 143.8779, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4153, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, build_cpu_time: 0.0046, build_memory: 834970092.0755, f_measure: 0.9623, kappa: 0.9159, kb_relative_information_score: 144.3975, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4113, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 0.024, build_memory: 949692384.2516, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 140.1126, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4678, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, build_cpu_time: 0.0631, build_memory: 1000211932.5786, f_measure: 0.9563, kappa: 0.9032, kb_relative_information_score: 142.0277, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9573, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4396, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 0.0752, build_memory: 1496894818.9182, f_measure: 0.9563, kappa: 0.9032, kb_relative_information_score: 142.6753, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9573, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4321, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 0.0694, build_memory: 1000269940.478, f_measure: 0.9563, kappa: 0.9032, kb_relative_information_score: 142.6756, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9573, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4321, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 0.1021, build_memory: 1419649242.4151, f_measure: 0.9563, kappa: 0.9032, kb_relative_information_score: 142.6756, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9573, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4321, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 1.3769, build_memory: 41473955.2704, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.7456, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3488, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, build_cpu_time: 3.1446, build_memory: 845968530.717, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3793, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 5.515, build_memory: 865274173.8365, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 151.3138, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2924, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 11.612, build_memory: 798286713.2579, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3827, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 20.7341, build_memory: 586535800, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.383, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3348, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, build_cpu_time: 11.128, build_memory: 807343896.5031, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4095, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, build_cpu_time: 5.444, build_memory: 1052131484.7296, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 2.9753, build_memory: 73684779.5723, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443, scimark_benchmark: 929.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 1.4215, build_memory: 111699554.1132, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 144.7329, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.7014, build_memory: 407560977.7107, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 144.661, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4103, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 0.2704, build_memory: 770834890.4151, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0578, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.3354, build_memory: 967852773.4843, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, build_cpu_time: 0.7386, build_memory: 780308269.4843, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.3998, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3609, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 2.8698, build_memory: 164159247.7484, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.0443, build_memory: 554626134.4403, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 148.06, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3431, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.0515, build_memory: 1324773733.434, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 148.06, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3431, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.0378, build_memory: 334768679.4969, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 148.06, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3431, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 0.0269, build_memory: 1362949087.3962, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.889, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3439, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, build_cpu_time: 0.0171, build_memory: 1018005547.5723, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 148.344, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3426, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 0.0118, build_memory: 589765150.7925, f_measure: 0.9811, kappa: 0.9577, kb_relative_information_score: 148.6485, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9264, recall: 0.9811, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3162, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, build_cpu_time: 0.0204, build_memory: 265351342.4403, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.1489, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, build_cpu_time: 0.0147, build_memory: 33537824.8553, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.1489, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, build_cpu_time: 0.0239, build_memory: 1713019215.3962, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.1489, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, build_cpu_time: 0.0288, build_memory: 1063561422.5409, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 147.1489, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3521, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.013, build_memory: 187913070.6918, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.0141, build_memory: 395486490.9182, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.0056, build_memory: 362034182.0377, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.087, build_memory: 119000447.6478, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 148.5767, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3408, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_cpu_time: 0.3945, build_memory: 845363518.7421, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.0479, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3365, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 0.2217, build_memory: 500246196.9811, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 144.7683, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4065, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 0.0955, build_memory: 899592551.8491, f_measure: 0.9685, kappa: 0.9296, kb_relative_information_score: 146.4758, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3777, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 0.047, build_memory: 1244398374.9434, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.4244, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3326, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, build_cpu_time: 0.0459, build_memory: 53822550.3899, f_measure: 0.5036, kappa: -0.0845, kb_relative_information_score: 16.9319, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.4258, predictive_accuracy: 0.6164, prior_entropy: 0.9264, recall: 0.6164, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.3079, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.0082, build_memory: 120290512.1509, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 144.3016, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3132, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 0.0024, build_memory: 1939890792.0503, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.8913, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3692, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.0292, build_memory: 892719696.1509, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 142.0513, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3066, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, build_cpu_time: 0.0056, build_memory: 1087567000.5535, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 138.2384, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4431, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.0001, build_memory: 1163496400, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 0.0003, build_memory: 628303920, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 136.2656, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4991, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, build_cpu_time: 0.0128, build_memory: 284137095.6478, f_measure: 0.5396, kappa: 0.0243, kb_relative_information_score: 35.5213, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.7785, predictive_accuracy: 0.6667, prior_entropy: 0.9264, recall: 0.6667, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2191, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 0.0038, build_memory: 868986904.5031, f_measure: 0.9619, kappa: 0.9143, kb_relative_information_score: 144.7342, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9629, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4102, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, build_cpu_time: 0.0096, build_memory: 1066665200, f_measure: 0.9682, kappa: 0.9283, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.97, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, build_cpu_time: 0.0062, build_memory: 98246572.2264, f_measure: 0.8933, kappa: 0.7627, kb_relative_information_score: 119.4075, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.8936, predictive_accuracy: 0.8931, prior_entropy: 0.9264, recall: 0.8931, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6851, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0007, build_memory: 110174877.6855, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 137.2262, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4666, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0007, build_memory: 241050643.9748, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 137.2262, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4666, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0008, build_memory: 242401697.8113, f_measure: 0.9499, kappa: 0.8888, kb_relative_information_score: 137.2262, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9504, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4666, scimark_benchmark: 945.7844,

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