OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111538 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

111538 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9435, kappa: 0.8748, kb_relative_information_score: 753.0024, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4271, usercpu_time_millis: 9.673, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 8.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9435, kappa: 0.8748, kb_relative_information_score: 753.0024, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4271, usercpu_time_millis: 9.28, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 8.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9394, kappa: 0.8661, kb_relative_information_score: 715.9463, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9394, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4672, usercpu_time_millis: 9.561, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 9.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9486, kappa: 0.886, kb_relative_information_score: 752.2334, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9487, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4207, usercpu_time_millis: 9.129, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 8.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 829.9638, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2871, usercpu_time_millis: 8.112, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 7.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9298, kappa: 0.8444, kb_relative_information_score: 707.246, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905, usercpu_time_millis: 9.764, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 9.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 823.868, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2885, usercpu_time_millis: 9.184, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 8.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.956, kappa: 0.9027, kb_relative_information_score: 757.4228, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4067, usercpu_time_millis: 9.804, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 9.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9435, kappa: 0.8748, kb_relative_information_score: 753.0024, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4271, usercpu_time_millis: 9.267, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 8.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9464, kappa: 0.8809, kb_relative_information_score: 754.2302, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9468, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4241, usercpu_time_millis: 9.412, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 8.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 806.0066, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9846, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3128, usercpu_time_millis: 8.92, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 8.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9623, kappa: 0.9164, kb_relative_information_score: 756.5177, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.9312, recall: 0.9624, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4036, usercpu_time_millis: 9.115, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 8.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8996, kappa: 0.7778, kb_relative_information_score: 647.2305, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8994, predictive_accuracy: 0.8998, prior_entropy: 0.9312, recall: 0.8998, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.557, usercpu_time_millis: 9.118, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 8.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8996, kappa: 0.7778, kb_relative_information_score: 647.2305, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8994, predictive_accuracy: 0.8998, prior_entropy: 0.9312, recall: 0.8998, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.557, usercpu_time_millis: 9.909, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 8.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7574, kappa: 0.4551, kb_relative_information_score: 303.9111, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8289, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8391, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9115, kappa: 0.8051, kb_relative_information_score: 724.6204, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9118, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7499, kappa: 0.4377, kb_relative_information_score: 288.0094, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8147, predictive_accuracy: 0.7797, prior_entropy: 0.9312, recall: 0.7797, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8501, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8531, kappa: 0.6836, kb_relative_information_score: 539.0079, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8621, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6637, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7164, kappa: 0.3583, kb_relative_information_score: 183.1745, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.727, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9119, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8229, kappa: 0.6224, kb_relative_information_score: 490.1791, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8376, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9375, kappa: 0.8621, kb_relative_information_score: 804.3337, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9376, predictive_accuracy: 0.9374, prior_entropy: 0.9312, recall: 0.9374, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4519, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 820.5739, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2898, usercpu_time_millis: 9.356, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 9.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.2768, build_memory: 589854595.9666, f_measure: 0.9822, kappa: 0.9605, kb_relative_information_score: 914.4263, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2594, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 0.036, build_memory: 1818682610.1962, f_measure: 0.7967, kappa: 0.5402, kb_relative_information_score: 368.6974, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8149, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7633, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 0.1703, build_memory: 1420185037.1608, f_measure: 0.9362, kappa: 0.8573, kb_relative_information_score: 642.3093, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9397, predictive_accuracy: 0.9374, prior_entropy: 0.9312, recall: 0.9374, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5053, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1795, build_memory: 1486900718.4885, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, build_cpu_time: 0.056, build_memory: 739114170.2714, f_measure: 0.8766, kappa: 0.7237, kb_relative_information_score: 645.4646, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8788, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.587, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 0.0224, build_memory: 644049832.4676, f_measure: 0.8246, kappa: 0.6064, kb_relative_information_score: 495.1061, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8268, predictive_accuracy: 0.8288, prior_entropy: 0.9312, recall: 0.8288, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7146, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, build_cpu_time: 0.0682, build_memory: 1271343749.8121, f_measure: 0.8797, kappa: 0.7306, kb_relative_information_score: 648.9627, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5831, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.04, build_memory: 327817561.9457, f_measure: 0.867, kappa: 0.7024, kb_relative_information_score: 620.3183, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8689, predictive_accuracy: 0.8695, prior_entropy: 0.9312, recall: 0.8695, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6054, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.0085, build_memory: 1141908261.7954, f_measure: 0.7144, kappa: 0.3542, kb_relative_information_score: 250.1441, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7212, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.867, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, build_cpu_time: 0.1068, build_memory: 294144709.5866, f_measure: 0.8545, kappa: 0.6714, kb_relative_information_score: 477.6117, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8689, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6645, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1318, build_memory: 1156065899.0146, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 0.0184, build_memory: 693674995.9499, f_measure: 0.748, kappa: 0.4302, kb_relative_information_score: 295.2468, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7579, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8248, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.0851, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1641, scimark_benchmark: 911.3823, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9567, kappa: 0.9037, kb_relative_information_score: 276.8895, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.762, scimark_benchmark: 929.566, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 918.4924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 3.9844, build_memory: 444184608.8852, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 904.709, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.266, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 930.7738, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9111, kappa: 0.8004, kb_relative_information_score: 480.6185, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.917, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6332, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9739, kappa: 0.9424, kb_relative_information_score: 897.724, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.308, scimark_benchmark: 917.1386, usercpu_time_millis: 1790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 933.2494, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2116, scimark_benchmark: 922.8983, usercpu_time_millis: 3580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.7327, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.1528, scimark_benchmark: 1112.8112, usercpu_time_millis: 550, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7056, kappa: 0.334, kb_relative_information_score: 243.8668, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8661, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 799.2185, usercpu_time_millis: 530, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9654, kappa: 0.9235, kb_relative_information_score: 827.923, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9655, predictive_accuracy: 0.9656, prior_entropy: 0.9312, recall: 0.9656, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3445, scimark_benchmark: 917.7039, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6887, kappa: 0.2983, kb_relative_information_score: 213.6936, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6877, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8704, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 582.4154, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5558, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 940.249, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1778, scimark_benchmark: 940.2751, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 0.1759, build_memory: 1564716661.5616, f_measure: 0.9623, kappa: 0.9167, kb_relative_information_score: 848.4473, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.9312, recall: 0.9624, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3823, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.4487, build_memory: 743423075.6409, f_measure: 0.9948, kappa: 0.9884, kb_relative_information_score: 945.9283, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1434, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.8535, build_memory: 1116329162.3633, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.093, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 186.0055, build_memory: 1330480763.3069, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 687.6042, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4171, scimark_benchmark: 946.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 92.2487, build_memory: 705485571.2902, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 686.6782, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4181, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 0.1065, build_memory: 1122578623.666, f_measure: 0.9492, kappa: 0.8865, kb_relative_information_score: 626.0853, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9515, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.241, root_relative_squared_error: 0.5064, scimark_benchmark: 897.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0039, build_memory: 196377130.5553, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 948.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0038, build_memory: 191921126.6973, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 946.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, build_cpu_time: 0.104, build_memory: 34237174.3883, f_measure: 0.9481, kappa: 0.8842, kb_relative_information_score: 622.2847, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9503, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.514, scimark_benchmark: 922.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9479, kappa: 0.8834, kb_relative_information_score: 625.6499, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9518, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5019, scimark_benchmark: 944.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6873, kappa: 0.2939, kb_relative_information_score: 179.1304, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6878, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9022, scimark_benchmark: 948.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 941.6481, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1788, scimark_benchmark: 920.7581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8773, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2715, scimark_benchmark: 944.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8071, kappa: 0.5706, kb_relative_information_score: 425.5393, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8064, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7752, scimark_benchmark: 928.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 142.0195, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 953.8549, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9312, recall: 0.9979, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0747, scimark_benchmark: 937.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 120.3289, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9409, scimark_benchmark: 943.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7967, kappa: 0.5402, kb_relative_information_score: 368.6974, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8149, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7633, scimark_benchmark: 925.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9885, kappa: 0.9746, kb_relative_information_score: 932.3184, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2194, scimark_benchmark: 883.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9473, kappa: 0.8828, kb_relative_information_score: 843.3803, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9482, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4342, scimark_benchmark: 938.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9093, kappa: 0.7981, kb_relative_information_score: 759.8799, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9099, predictive_accuracy: 0.9102, prior_entropy: 0.9312, recall: 0.9102, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6296, scimark_benchmark: 943.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0053, build_memory: 2267124715.7912, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 0.6349, build_memory: 158227571.357, f_measure: 0.9948, kappa: 0.9885, kb_relative_information_score: 947.302, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.9312, recall: 0.9948, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.1352, scimark_benchmark: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 0.1293, build_memory: 556263002.238, f_measure: 0.9875, kappa: 0.9723, kb_relative_information_score: 930.2706, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2118, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1691, build_memory: 1337136836.0334, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.143, build_memory: 1642750886.4468, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0024, build_memory: 486813225.6701, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0024, build_memory: 827242153.8539, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.0625, build_memory: 741929786.714, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 920.5141, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2145, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.0334, build_memory: 64861074.2965, f_measure: 0.9549, kappa: 0.9001, kb_relative_information_score: 836.6424, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3874, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 1.6551, build_memory: 136497018.4468, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 900.882, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 3.114, build_memory: 1479633306.0209, f_measure: 0.9801, kappa: 0.9558, kb_relative_information_score: 900.7017, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9804, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2724, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 3.8581, build_memory: 614266867.2568, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 902.6775, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2696, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 0.1036, build_memory: 2193949683.691, f_measure: 0.9758, kappa: 0.9463, kb_relative_information_score: 560.0067, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9764, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5424, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0045, build_memory: 222531952.4509, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 0.0051, build_memory: 82325717.2944, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.2401, build_memory: 1128102941.8622, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.052, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1626, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 4.3951, build_memory: 874659305.2192, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 903.4104, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1995.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9241, kappa: 0.8309, kb_relative_information_score: 517.84, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9248, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6102, scimark_benchmark: 2022.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 2003.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 435.5474, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229, scimark_benchmark: 1998.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8165, kappa: 0.5855, kb_relative_information_score: 359.6668, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8301, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7406, scimark_benchmark: 948.1221,

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