OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

558 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.4555, kappa: 0.0898, kb_relative_information_score: 5.5126, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5977, predictive_accuracy: 0.504, prior_entropy: 0.9852, recall: 0.504, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0593, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7834, kappa: 0.5568, kb_relative_information_score: 120.9258, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 0.9852, recall: 0.784, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7664, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8484, kappa: 0.6917, kb_relative_information_score: 119.252, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8499, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7004, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8271, kappa: 0.6458, kb_relative_information_score: 112.317, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7391, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8632, kappa: 0.7196, kb_relative_information_score: 67.4359, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.807, scimark_benchmark: 918.4924, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.6123, kappa: 0.2042, kb_relative_information_score: 19.3604, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6136, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9633, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 917.7039, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 901.0726, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.1254, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6589, scimark_benchmark: 943.6956, usercpu_time_millis: 1120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.4633, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6615, scimark_benchmark: 831.3777, usercpu_time_millis: 2680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8522, kappa: 0.6988, kb_relative_information_score: 165.3753, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7523, scimark_benchmark: 947.0793, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.5623, kappa: 0.118, kb_relative_information_score: 18.5457, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5691, predictive_accuracy: 0.56, prior_entropy: 0.9852, recall: 0.56, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0295, scimark_benchmark: 947.0793, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9079, kappa: 0.8119, kb_relative_information_score: 196.5625, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9852, recall: 0.908, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.611, scimark_benchmark: 935.8986, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 140.7134, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7263, scimark_benchmark: 904.3001, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 904.3001, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5823, kappa: 0.1443, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5812, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, scimark_benchmark: 799.2185, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, build_cpu_time: 0.076, build_memory: 1364877212.8, f_measure: 0.6175, kappa: 0.2156, kb_relative_information_score: 31.9086, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0251, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, build_cpu_time: 0.0964, build_memory: 977414876.8, f_measure: 0.6175, kappa: 0.2156, kb_relative_information_score: 31.9086, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0251, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, build_cpu_time: 0.0866, build_memory: 1718017532.8, f_measure: 0.6175, kappa: 0.2156, kb_relative_information_score: 31.9086, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0251, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, build_cpu_time: 0.1, build_memory: 1082982083.2, f_measure: 0.6175, kappa: 0.2156, kb_relative_information_score: 31.9086, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0251, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 0.053, build_memory: 478007840.8, f_measure: 0.8676, kappa: 0.7288, kb_relative_information_score: 172.6281, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6901, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.1059, build_memory: 854801449.6, f_measure: 0.8601, kappa: 0.7144, kb_relative_information_score: 176.2713, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8602, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.693, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, build_cpu_time: 0.2204, build_memory: 395160202.4, f_measure: 0.8718, kappa: 0.738, kb_relative_information_score: 182.5141, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6949, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, build_cpu_time: 0.3645, build_memory: 318552708, f_measure: 0.8636, kappa: 0.7209, kb_relative_information_score: 181.5692, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8637, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6984, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, build_cpu_time: 0.3844, build_memory: 83771271.2, f_measure: 0.8597, kappa: 0.7131, kb_relative_information_score: 178.2485, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7237, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, build_cpu_time: 0.0072, build_memory: 873891626.4, f_measure: 0.6449, kappa: 0.2772, kb_relative_information_score: 66.5838, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6463, predictive_accuracy: 0.644, prior_entropy: 0.9852, recall: 0.644, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2059, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, build_cpu_time: 0.0065, build_memory: 35635564, f_measure: 0.6449, kappa: 0.2772, kb_relative_information_score: 66.5838, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6463, predictive_accuracy: 0.644, prior_entropy: 0.9852, recall: 0.644, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2059, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, build_cpu_time: 0.0041, build_memory: 1414765340.8, f_measure: 0.6449, kappa: 0.2772, kb_relative_information_score: 66.5838, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6463, predictive_accuracy: 0.644, prior_entropy: 0.9852, recall: 0.644, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2059, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, build_cpu_time: 0.0032, build_memory: 2364913471.2, f_measure: 0.6449, kappa: 0.2772, kb_relative_information_score: 66.5838, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6463, predictive_accuracy: 0.644, prior_entropy: 0.9852, recall: 0.644, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2059, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, build_cpu_time: 0.0018, build_memory: 1169400620, f_measure: 0.6449, kappa: 0.2772, kb_relative_information_score: 66.5838, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6463, predictive_accuracy: 0.644, prior_entropy: 0.9852, recall: 0.644, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2059, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.0894, build_memory: 871014602.4, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.0912, build_memory: 1084706223.2, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.1121, build_memory: 559543896, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.0865, build_memory: 312085136.8, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 0.0968, build_memory: 996084394.4, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 99.4625, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.873, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7177, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.2402, build_memory: 511408138.4, f_measure: 0.8554, kappa: 0.7038, kb_relative_information_score: 175.6737, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7528, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, build_cpu_time: 0.1701, build_memory: 1228389949.6, f_measure: 0.8437, kappa: 0.6803, kb_relative_information_score: 169.2381, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7775, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.0928, build_memory: 454393988, f_measure: 0.8676, kappa: 0.7288, kb_relative_information_score: 177.1003, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8678, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.726, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, build_cpu_time: 0.0331, build_memory: 1382152272, f_measure: 0.8318, kappa: 0.6561, kb_relative_information_score: 161.5789, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8317, predictive_accuracy: 0.832, prior_entropy: 0.9852, recall: 0.832, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7681, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, build_cpu_time: 0.0147, build_memory: 473988135.2, f_measure: 0.7961, kappa: 0.5839, kb_relative_information_score: 137.395, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9852, recall: 0.796, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8146, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, build_cpu_time: 0.0356, build_memory: 1834074699.2, f_measure: 0.6255, kappa: 0.2321, kb_relative_information_score: 43.257, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9852, recall: 0.628, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.037, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.0422, build_memory: 1617965369.6, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.0401, build_memory: 438764877.6, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.044, build_memory: 650003788.8, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, build_cpu_time: 0.0465, build_memory: 3067624622.4, f_measure: 0.6218, kappa: 0.2248, kb_relative_information_score: 43.8839, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6209, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0387, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, build_cpu_time: 8.7025, build_memory: 505887602.4, f_measure: 0.8483, kappa: 0.691, kb_relative_information_score: 163.1029, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8491, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.708, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, build_cpu_time: 19.256, build_memory: 394126398.4, f_measure: 0.8721, kappa: 0.7392, kb_relative_information_score: 181.4094, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6553, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 38.3159, build_memory: 792648920, f_measure: 0.8563, kappa: 0.7073, kb_relative_information_score: 175.8068, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.857, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7303, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 77.8631, build_memory: 684521800.8, f_measure: 0.8677, kappa: 0.7295, kb_relative_information_score: 182.93, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7156, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 160.4346, build_memory: 31893205.6, f_measure: 0.8721, kappa: 0.7392, kb_relative_information_score: 184.6435, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6995, scimark_benchmark: 937.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, build_cpu_time: 32.8803, build_memory: 986240257.6, f_measure: 0.8471, kappa: 0.6866, kb_relative_information_score: 172.0622, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7824, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, build_cpu_time: 16.1722, build_memory: 1195875575.2, f_measure: 0.8513, kappa: 0.6952, kb_relative_information_score: 173.2358, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7741, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, build_cpu_time: 8.4331, build_memory: 1455820285.6, f_measure: 0.8199, kappa: 0.6319, kb_relative_information_score: 158.3274, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9852, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8345, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, build_cpu_time: 3.9309, build_memory: 853570512, f_measure: 0.803, kappa: 0.5964, kb_relative_information_score: 149.1694, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8033, predictive_accuracy: 0.804, prior_entropy: 0.9852, recall: 0.804, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8622, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, build_cpu_time: 1.9303, build_memory: 409870377.6, f_measure: 0.803, kappa: 0.5964, kb_relative_information_score: 147.1296, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8033, predictive_accuracy: 0.804, prior_entropy: 0.9852, recall: 0.804, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8595, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 0.4699, build_memory: 647283227.2, f_measure: 0.864, kappa: 0.7222, kb_relative_information_score: 176.1886, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6997, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 0.9361, build_memory: 775451754.4, f_measure: 0.8713, kappa: 0.7361, kb_relative_information_score: 182.8679, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7041, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, build_cpu_time: 2.0414, build_memory: 655071223.2, f_measure: 0.8871, kappa: 0.7685, kb_relative_information_score: 193.1531, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8893, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, build_cpu_time: 8.3253, build_memory: 575568888, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 190.0137, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6883, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 1.2001, build_memory: 932304772.8, f_measure: 0.863, kappa: 0.7189, kb_relative_information_score: 178.3435, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7428, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 0.7171, build_memory: 922019522.4, f_measure: 0.8591, kappa: 0.711, kb_relative_information_score: 179.3381, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7327, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.3348, build_memory: 1053828366.4, f_measure: 0.8669, kappa: 0.7269, kb_relative_information_score: 178.1044, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7256, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 0.1709, build_memory: 1122351769.6, f_measure: 0.8349, kappa: 0.6615, kb_relative_information_score: 165.8042, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9852, recall: 0.836, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7667, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, build_cpu_time: 0.1476, build_memory: 1689037052, f_measure: 0.8717, kappa: 0.7373, kb_relative_information_score: 183.7914, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7049, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 0.212, build_memory: 1261393325.6, f_measure: 0.8839, kappa: 0.7628, kb_relative_information_score: 188.0245, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6909, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 0.461, build_memory: 31090383.2, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 190.5261, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6781, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.8785, build_memory: 706676208.8, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.1254, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6589, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 2.0464, build_memory: 79652706.4, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.4633, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6615, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0262, build_memory: 55375208, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0165, build_memory: 332383030.4, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0235, build_memory: 648539249.6, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, build_cpu_time: 0.3694, build_memory: 1133961197.6, f_measure: 0.8513, kappa: 0.6952, kb_relative_information_score: 173.487, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6605, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, build_cpu_time: 2.0095, build_memory: 641594728, f_measure: 0.8999, kappa: 0.7955, kb_relative_information_score: 199.3929, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6174, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 1.0778, build_memory: 709589691.2, f_measure: 0.9041, kappa: 0.8044, kb_relative_information_score: 201.1741, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9043, predictive_accuracy: 0.904, prior_entropy: 0.9852, recall: 0.904, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.604, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, build_cpu_time: 0.5349, build_memory: 1106905840, f_measure: 0.88, kappa: 0.7549, kb_relative_information_score: 184.986, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6821, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, build_cpu_time: 0.2813, build_memory: 1439338283.2, f_measure: 0.8522, kappa: 0.6988, kb_relative_information_score: 165.3753, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7523, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, build_cpu_time: 0.294, build_memory: 2050916269.6, f_measure: 0.5623, kappa: 0.118, kb_relative_information_score: 18.5457, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5691, predictive_accuracy: 0.56, prior_entropy: 0.9852, recall: 0.56, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0295, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.3684, build_memory: 2389567798.4, f_measure: 0.9079, kappa: 0.8119, kb_relative_information_score: 196.5625, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9852, recall: 0.908, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.611, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.0073, build_memory: 1871842277.6, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 140.7134, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7263, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, build_cpu_time: 0.0958, build_memory: 344687293.6, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 0.0168, build_memory: 603268877.6, f_measure: 0.8388, kappa: 0.6693, kb_relative_information_score: 144.8424, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.376, root_relative_squared_error: 0.76, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0004, build_memory: 38119520, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0267, build_memory: 376330524.8, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 946.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, build_cpu_time: 0.0138, build_memory: 494859338.4, f_measure: 0.6131, kappa: 0.2064, kb_relative_information_score: 52.1625, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6121, predictive_accuracy: 0.616, prior_entropy: 0.9852, recall: 0.616, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2524, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, build_cpu_time: 0.0268, build_memory: 53933612.8, f_measure: 0.5823, kappa: 0.1443, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5812, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, build_cpu_time: 0.012, build_memory: 770557950.4, f_measure: 0.58, kappa: 0.1382, kb_relative_information_score: 29.7405, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5787, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.992, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.0014, build_memory: 255458774.4, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 0.0299, build_memory: 1277381577.6, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 0.032, build_memory: 722740120.8, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, build_cpu_time: 0.0574, build_memory: 21736310.4, f_measure: 0.7827, kappa: 0.5547, kb_relative_information_score: 97.6435, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7831, predictive_accuracy: 0.784, prior_entropy: 0.9852, recall: 0.784, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7788, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, build_cpu_time: 0.0028, build_memory: 998319986.4, f_measure: 0.7561, kappa: 0.5023, kb_relative_information_score: 124.2688, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7563, predictive_accuracy: 0.756, prior_entropy: 0.9852, recall: 0.756, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9983, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, build_cpu_time: 0.0028, build_memory: 1000930411.2, f_measure: 0.7561, kappa: 0.5023, kb_relative_information_score: 124.2688, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7563, predictive_accuracy: 0.756, prior_entropy: 0.9852, recall: 0.756, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9983, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0086, build_memory: 804354956.8, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0075, build_memory: 543179708, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0077, build_memory: 491620431.2, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, build_cpu_time: 0.0002, build_memory: 207658624, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 940.3415,

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