OpenML
Supervised Classification on wisconsin

Supervised Classification on wisconsin

Task 3619 Supervised Classification wisconsin 564 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:

564 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.5469, kappa: 0.0908, kb_relative_information_score: 13.7488, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5478, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.581, root_relative_squared_error: 1.1651, scimark_benchmark: 924.6116, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5366, kappa: 0.0701, kb_relative_information_score: 9.559, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5375, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5711, root_relative_squared_error: 1.1452, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5826, kappa: 0.1612, kb_relative_information_score: 20.0359, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5828, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0788, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6282, kappa: 0.2516, kb_relative_information_score: 24.6681, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.628, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.022, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.0241, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.4319, kappa: 0.0938, kb_relative_information_score: 11.5027, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6512, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5424, root_relative_squared_error: 1.0876, scimark_benchmark: 902.4773, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5868, kappa: 0.1685, kb_relative_information_score: 20.1341, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5865, predictive_accuracy: 0.5876, prior_entropy: 0.9963, recall: 0.5876, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0767, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.515, kappa: 0.0253, kb_relative_information_score: 6.699, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5155, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0802, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.0241, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4931, kappa: 0.0004, kb_relative_information_score: -1.5391, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5029, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0319, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5779, kappa: 0.154, kb_relative_information_score: 17.3828, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5795, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1218, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.565, kappa: 0.1242, kb_relative_information_score: 2.1579, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5648, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.003, scimark_benchmark: 947.9494, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.5963, kappa: 0.1905, kb_relative_information_score: 8.1814, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6013, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9958, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 891.2195, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 942.1229, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.5716, kappa: 0.1379, kb_relative_information_score: 17.9668, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5713, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1296, scimark_benchmark: 889.9795, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 20.7143, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.12, scimark_benchmark: 831.3777, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.5194, kappa: 0.0326, kb_relative_information_score: 8.1132, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5189, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6286, root_relative_squared_error: 1.2604, scimark_benchmark: 927.0753, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.5319, kappa: 0.0756, kb_relative_information_score: 6.4439, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5455, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1175, scimark_benchmark: 917.1386, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5634, kappa: 0.1216, kb_relative_information_score: 19.474, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5641, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2477, scimark_benchmark: 945.6434, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4459, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 915.2795, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 943.6956, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6161, kappa: 0.2273, kb_relative_information_score: 44.8899, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6169, predictive_accuracy: 0.6186, prior_entropy: 0.9963, recall: 0.6186, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.2385, scimark_benchmark: 939.0833, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, build_cpu_time: 0.0983, build_memory: 393210440.3299, f_measure: 0.5966, kappa: 0.188, kb_relative_information_score: 19.9017, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5965, predictive_accuracy: 0.5979, prior_entropy: 0.9963, recall: 0.5979, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0232, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, build_cpu_time: 0.0974, build_memory: 755445281.8144, f_measure: 0.5966, kappa: 0.188, kb_relative_information_score: 19.9017, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5965, predictive_accuracy: 0.5979, prior_entropy: 0.9963, recall: 0.5979, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0232, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, build_cpu_time: 0.096, build_memory: 1057020943.5052, f_measure: 0.6064, kappa: 0.2077, kb_relative_information_score: 19.8694, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6066, predictive_accuracy: 0.6082, prior_entropy: 0.9963, recall: 0.6082, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0238, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, build_cpu_time: 0.0792, build_memory: 1176059223.0516, f_measure: 0.6009, kappa: 0.1966, kb_relative_information_score: 20.7576, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6013, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0139, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, build_cpu_time: 0.0704, build_memory: 1078451930.4742, f_measure: 0.5264, kappa: 0.0508, kb_relative_information_score: 5.1389, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.528, predictive_accuracy: 0.5258, prior_entropy: 0.9963, recall: 0.5258, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5951, root_relative_squared_error: 1.1934, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, build_cpu_time: 0.0783, build_memory: 1201947078.9691, f_measure: 0.4954, kappa: -0.0081, kb_relative_information_score: -0.3036, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4986, predictive_accuracy: 0.4948, prior_entropy: 0.9963, recall: 0.4948, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2393, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, build_cpu_time: 0.1056, build_memory: 1194537340.5361, f_measure: 0.4749, kappa: -0.0523, kb_relative_information_score: -1.7939, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4765, predictive_accuracy: 0.4742, prior_entropy: 0.9963, recall: 0.4742, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2491, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, build_cpu_time: 0.1131, build_memory: 596471378.5979, f_measure: 0.48, kappa: -0.0428, kb_relative_information_score: -1.3061, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4813, predictive_accuracy: 0.4794, prior_entropy: 0.9963, recall: 0.4794, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2473, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, build_cpu_time: 0.1265, build_memory: 534771080.1649, f_measure: 0.48, kappa: -0.0428, kb_relative_information_score: -1.3061, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4813, predictive_accuracy: 0.4794, prior_entropy: 0.9963, recall: 0.4794, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2473, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.0067, build_memory: 819006322.0206, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 28.7715, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3037, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.0065, build_memory: 35187775.8351, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 28.7715, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3037, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.0039, build_memory: 1450027944, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 28.7715, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3037, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.0035, build_memory: 1988439243.299, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 28.7715, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3037, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.0031, build_memory: 1265020671.0928, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 28.7715, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3037, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.1187, build_memory: 540209636.4536, f_measure: 0.5656, kappa: 0.1256, kb_relative_information_score: 12.6981, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9997, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.0852, build_memory: 830299710.1856, f_measure: 0.5656, kappa: 0.1256, kb_relative_information_score: 12.6981, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9997, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.1135, build_memory: 733561832.8247, f_measure: 0.5656, kappa: 0.1256, kb_relative_information_score: 12.6981, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9997, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.0851, build_memory: 360429280.3299, f_measure: 0.5656, kappa: 0.1256, kb_relative_information_score: 12.6981, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9997, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, build_cpu_time: 0.085, build_memory: 1307229058.0619, f_measure: 0.5656, kappa: 0.1256, kb_relative_information_score: 12.6981, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5653, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9997, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4689, build_cpu_time: 0.2875, build_memory: 578468455.4639, f_measure: 0.4359, kappa: -0.1355, kb_relative_information_score: -24.2937, mean_absolute_error: 0.5575, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4348, predictive_accuracy: 0.4381, prior_entropy: 0.9963, recall: 0.4381, relative_absolute_error: 1.1208, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7392, root_relative_squared_error: 1.4822, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, build_cpu_time: 0.1306, build_memory: 1007342511.9175, f_measure: 0.4787, kappa: -0.049, kb_relative_information_score: -10.1402, mean_absolute_error: 0.5218, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4782, predictive_accuracy: 0.4794, prior_entropy: 0.9963, recall: 0.4794, relative_absolute_error: 1.049, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7006, root_relative_squared_error: 1.4048, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, build_cpu_time: 0.0907, build_memory: 967204257.567, f_measure: 0.4845, kappa: -0.0363, kb_relative_information_score: -6.4731, mean_absolute_error: 0.5127, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4845, predictive_accuracy: 0.4845, prior_entropy: 0.9963, recall: 0.4845, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3664, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4657, build_cpu_time: 0.0412, build_memory: 1615354934.5155, f_measure: 0.4677, kappa: -0.0714, kb_relative_information_score: -10.9262, mean_absolute_error: 0.5224, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.467, predictive_accuracy: 0.4691, prior_entropy: 0.9963, recall: 0.4691, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6724, root_relative_squared_error: 1.3483, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4395, build_cpu_time: 0.0141, build_memory: 702267578.1443, f_measure: 0.458, kappa: -0.0906, kb_relative_information_score: -16.3424, mean_absolute_error: 0.536, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4575, predictive_accuracy: 0.4588, prior_entropy: 0.9963, recall: 0.4588, relative_absolute_error: 1.0775, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6522, root_relative_squared_error: 1.3078, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, build_cpu_time: 0.0465, build_memory: 645453174.5567, f_measure: 0.5567, kappa: 0.1088, kb_relative_information_score: 16.2942, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5567, predictive_accuracy: 0.5567, prior_entropy: 0.9963, recall: 0.5567, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.536, root_relative_squared_error: 1.0748, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, build_cpu_time: 0.0602, build_memory: 1420054471.134, f_measure: 0.546, kappa: 0.0867, kb_relative_information_score: 16.9976, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5457, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0857, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, build_cpu_time: 0.0569, build_memory: 736597759.5876, f_measure: 0.546, kappa: 0.0867, kb_relative_information_score: 16.9976, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5457, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0857, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, build_cpu_time: 0.061, build_memory: 665083317.9381, f_measure: 0.546, kappa: 0.0867, kb_relative_information_score: 16.9976, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5457, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0857, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, build_cpu_time: 0.0935, build_memory: 1449021283.8351, f_measure: 0.546, kappa: 0.0867, kb_relative_information_score: 16.9976, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5457, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0857, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, build_cpu_time: 6.6791, build_memory: 625935978.3505, f_measure: 0.5778, kappa: 0.1565, kb_relative_information_score: 27.6159, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5813, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1142, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, build_cpu_time: 15.9663, build_memory: 895817102.8866, f_measure: 0.547, kappa: 0.0935, kb_relative_information_score: 22.202, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5494, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5918, root_relative_squared_error: 1.1866, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, build_cpu_time: 27.1689, build_memory: 734066027.7526, f_measure: 0.5467, kappa: 0.0894, kb_relative_information_score: 23.0206, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5471, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2312, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, build_cpu_time: 56.6117, build_memory: 781163246.3093, f_measure: 0.5361, kappa: 0.0673, kb_relative_information_score: 12.0287, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5361, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6564, root_relative_squared_error: 1.3162, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, build_cpu_time: 109.7234, build_memory: 93383337.9381, f_measure: 0.5155, kappa: 0.0259, kb_relative_information_score: 3.6886, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5155, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6808, root_relative_squared_error: 1.3651, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, build_cpu_time: 38.5396, build_memory: 765747922.6804, f_measure: 0.5297, kappa: 0.0534, kb_relative_information_score: 10.8408, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5292, predictive_accuracy: 0.5309, prior_entropy: 0.9963, recall: 0.5309, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6807, root_relative_squared_error: 1.365, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, build_cpu_time: 17.9199, build_memory: 805014369.732, f_measure: 0.5346, kappa: 0.0631, kb_relative_information_score: 12.0032, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5341, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6712, root_relative_squared_error: 1.346, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, build_cpu_time: 9.3626, build_memory: 60234370.5155, f_measure: 0.5401, kappa: 0.0742, kb_relative_information_score: 14.2101, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5396, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6612, root_relative_squared_error: 1.3259, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, build_cpu_time: 4.8985, build_memory: 95579026.5155, f_measure: 0.5922, kappa: 0.1795, kb_relative_information_score: 34.0771, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.592, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6193, root_relative_squared_error: 1.2419, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, build_cpu_time: 2.2001, build_memory: 703281296.7423, f_measure: 0.576, kappa: 0.1464, kb_relative_information_score: 28.8391, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5757, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.2166, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, build_cpu_time: 0.5033, build_memory: 766461199.134, f_measure: 0.5105, kappa: 0.0162, kb_relative_information_score: 6.4536, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5107, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6357, root_relative_squared_error: 1.2747, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, build_cpu_time: 0.9177, build_memory: 756361951.5464, f_measure: 0.5378, kappa: 0.07, kb_relative_information_score: 16.7058, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5379, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.64, root_relative_squared_error: 1.2833, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, build_cpu_time: 2.0584, build_memory: 536277550.0206, f_measure: 0.5339, kappa: 0.0617, kb_relative_information_score: 15.0272, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5335, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3048, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, build_cpu_time: 8.0011, build_memory: 1124003880.1237, f_measure: 0.5357, kappa: 0.0659, kb_relative_information_score: 11.5915, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5354, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3559, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.1269, build_memory: 738924145.2371, f_measure: 0.5042, kappa: 0.0021, kb_relative_information_score: -0.3895, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5037, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.1801, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.1082, build_memory: 1283398914.4742, f_measure: 0.5042, kappa: 0.0021, kb_relative_information_score: -0.3895, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5037, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.1801, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.1432, build_memory: 1055376791.3814, f_measure: 0.5042, kappa: 0.0021, kb_relative_information_score: -0.3895, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5037, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.1801, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, build_cpu_time: 0.1114, build_memory: 426383695.8351, f_measure: 0.5042, kappa: 0.0021, kb_relative_information_score: -0.3895, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5037, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.1801, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, build_cpu_time: 0.1128, build_memory: 974335323.3814, f_measure: 0.4993, kappa: -0.0075, kb_relative_information_score: -1.7373, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4989, predictive_accuracy: 0.5, prior_entropy: 0.9963, recall: 0.5, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5901, root_relative_squared_error: 1.1833, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, build_cpu_time: 0.0366, build_memory: 1063172556.8247, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 18.9704, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.56, root_relative_squared_error: 1.123, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, build_cpu_time: 0.0487, build_memory: 1447461816.0412, f_measure: 0.5617, kappa: 0.1185, kb_relative_information_score: 14.8438, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5615, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5712, root_relative_squared_error: 1.1455, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, build_cpu_time: 0.0682, build_memory: 31919790.3093, f_measure: 0.5617, kappa: 0.1185, kb_relative_information_score: 14.6738, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5615, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.1474, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, build_cpu_time: 0.1098, build_memory: 139907434.8454, f_measure: 0.5716, kappa: 0.1379, kb_relative_information_score: 17.9668, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5713, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1296, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, build_cpu_time: 0.1677, build_memory: 1313097068.6598, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 20.7143, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.12, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, build_cpu_time: 0.0262, build_memory: 60615367.6701, f_measure: 0.515, kappa: 0.0244, kb_relative_information_score: 4.5444, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5147, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3879, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, build_cpu_time: 0.0117, build_memory: 409369898.5155, f_measure: 0.515, kappa: 0.0244, kb_relative_information_score: 4.5444, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5147, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3879, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, build_cpu_time: 0.3018, build_memory: 14723750.1443, f_measure: 0.5418, kappa: 0.0811, kb_relative_information_score: 17.9867, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5431, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1214, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, build_cpu_time: 2.2311, build_memory: 1842330797.9381, f_measure: 0.5711, kappa: 0.1366, kb_relative_information_score: 28.0101, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5707, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2871, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, build_cpu_time: 1.2473, build_memory: 536047033.8557, f_measure: 0.546, kappa: 0.0867, kb_relative_information_score: 21.9905, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5457, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6411, root_relative_squared_error: 1.2856, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, build_cpu_time: 0.6548, build_memory: 2168799374.0206, f_measure: 0.5346, kappa: 0.0631, kb_relative_information_score: 9.5155, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5341, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6443, root_relative_squared_error: 1.292, scimark_benchmark: 936.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, build_cpu_time: 0.1312, build_memory: 2282984409.732, f_measure: 0.5319, kappa: 0.0756, kb_relative_information_score: 6.4439, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5455, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1175, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, build_cpu_time: 0.2628, build_memory: 581520842.7216, f_measure: 0.5634, kappa: 0.1216, kb_relative_information_score: 19.474, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5641, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2477, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, build_cpu_time: 0.0096, build_memory: 327675887.2165, f_measure: 0.4653, kappa: -0.0051, kb_relative_information_score: 0.4459, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4987, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0297, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, build_cpu_time: 0.095, build_memory: 722621219.134, f_measure: 0.5917, kappa: 0.1782, kb_relative_information_score: 12.922, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5915, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0006, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, build_cpu_time: 0.0141, build_memory: 970830569.2784, f_measure: 0.5723, kappa: 0.1405, kb_relative_information_score: 7.3006, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5725, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0242, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, build_cpu_time: 0.0001, build_memory: 786116326.3505, f_measure: 0.515, kappa: 0.0244, kb_relative_information_score: 4.5444, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5147, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3879, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0148, build_memory: 971982631.4227, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, build_cpu_time: 0.009, build_memory: 642510233.2784, f_measure: 0.6277, kappa: 0.2505, kb_relative_information_score: 48.9195, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6277, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.2216, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, build_cpu_time: 0.0368, build_memory: 266720062.7629, f_measure: 0.6161, kappa: 0.2273, kb_relative_information_score: 44.8899, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6169, predictive_accuracy: 0.6186, prior_entropy: 0.9963, recall: 0.6186, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.2385, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, build_cpu_time: 0.0146, build_memory: 51693663.0928, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 23.6364, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0499, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, build_cpu_time: 0.0097, build_memory: 103193601.9794, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 23.6364, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0499, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, build_cpu_time: 0.0017, build_memory: 243720789.567, f_measure: 0.6034, kappa: 0.2085, kb_relative_information_score: 29.834, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6077, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5942, root_relative_squared_error: 1.1916, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, build_cpu_time: 0.0365, build_memory: 401281942.8454, f_measure: 0.5594, kappa: 0.1132, kb_relative_information_score: 10.9588, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5594, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0128, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, build_cpu_time: 0.0192, build_memory: 82013804.4536, f_measure: 0.5624, kappa: 0.1224, kb_relative_information_score: 11.1991, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5637, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.024, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, build_cpu_time: 0.0196, build_memory: 172851249.6495, f_measure: 0.5624, kappa: 0.1224, kb_relative_information_score: 11.1991, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5637, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.024, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4308, build_cpu_time: 0.0026, build_memory: 207102521.732, f_measure: 0.4334, kappa: -0.1383, kb_relative_information_score: -27.6429, mean_absolute_error: 0.567, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4338, predictive_accuracy: 0.433, prior_entropy: 0.9963, recall: 0.433, relative_absolute_error: 1.1399, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.753, root_relative_squared_error: 1.5099, scimark_benchmark: 946.8522,

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