Task
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 3703 Supervised Classification fri_c4_500_25 554 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

554 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8444, kappa: 0.6842, kb_relative_information_score: 240.4864, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 0.9867, recall: 0.844, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7116, scimark_benchmark: 902.4773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8385, kappa: 0.6696, kb_relative_information_score: 261.5832, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8411, predictive_accuracy: 0.84, prior_entropy: 0.9867, recall: 0.84, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6841, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8459, kappa: 0.6857, kb_relative_information_score: 183.5486, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9867, recall: 0.846, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7469, scimark_benchmark: 947.9494, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7474, kappa: 0.4842, kb_relative_information_score: 95.2553, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7471, predictive_accuracy: 0.748, prior_entropy: 0.9867, recall: 0.748, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8878, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 932.3943, usercpu_time_millis: 260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 901.0726, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.6067, kappa: 0.2003, kb_relative_information_score: 92.7831, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6076, predictive_accuracy: 0.606, prior_entropy: 0.9867, recall: 0.606, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0805, scimark_benchmark: 945.6434, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8737, kappa: 0.7423, kb_relative_information_score: 370.5284, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9867, recall: 0.874, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7082, scimark_benchmark: 1174.6686, usercpu_time_millis: 3540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8777, kappa: 0.7502, kb_relative_information_score: 375.4907, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6988, scimark_benchmark: 915.2795, usercpu_time_millis: 5470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6558, kb_relative_information_score: 324.3554, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9867, recall: 0.832, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7703, scimark_benchmark: 883.7187, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6284, kappa: 0.2437, kb_relative_information_score: 72.949, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6289, predictive_accuracy: 0.628, prior_entropy: 0.9867, recall: 0.628, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9895, scimark_benchmark: 947.0793, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 366.4274, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6659, scimark_benchmark: 935.8986, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8515, kappa: 0.6967, kb_relative_information_score: 299.8399, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9867, recall: 0.852, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6745, scimark_benchmark: 923.9763, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 945.6434, usercpu_time_millis: 260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 934.5243, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, build_cpu_time: 0.2726, build_memory: 2316587112.8, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4124, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9574, scimark_benchmark: 943.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, build_cpu_time: 0.2851, build_memory: 1448327140.8, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4124, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9574, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, build_cpu_time: 0.2868, build_memory: 1296855596, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4124, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9574, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, build_cpu_time: 0.2627, build_memory: 706260582.4, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4866, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9571, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 0.1272, build_memory: 609619224.8, f_measure: 0.8597, kappa: 0.7138, kb_relative_information_score: 343.9259, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6977, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.2636, build_memory: 1261807476.8, f_measure: 0.8598, kappa: 0.7141, kb_relative_information_score: 355.2634, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6907, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, build_cpu_time: 0.516, build_memory: 730512188, f_measure: 0.8819, kappa: 0.7592, kb_relative_information_score: 367.8297, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9867, recall: 0.882, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6745, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, build_cpu_time: 0.8644, build_memory: 209652880.8, f_measure: 0.8756, kappa: 0.7459, kb_relative_information_score: 369.5762, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9867, recall: 0.876, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6797, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 1.2332, build_memory: 580008271.2, f_measure: 0.8715, kappa: 0.7374, kb_relative_information_score: 364.9546, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6969, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0098, build_memory: 1568788588, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0081, build_memory: 141197086.4, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0073, build_memory: 2068953011.2, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0066, build_memory: 2418614932, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0055, build_memory: 1573237424.8, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2346, build_memory: 787506004, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2186, build_memory: 861177918.4, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2261, build_memory: 1362376944, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2391, build_memory: 921511244.8, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2378, build_memory: 331412140, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, build_cpu_time: 0.5412, build_memory: 593677352.8, f_measure: 0.8381, kappa: 0.6704, kb_relative_information_score: 336.709, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7915, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 0.2692, build_memory: 695991008, f_measure: 0.8319, kappa: 0.6573, kb_relative_information_score: 323.8783, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9867, recall: 0.832, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8144, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, build_cpu_time: 0.1801, build_memory: 783603321.6, f_measure: 0.8155, kappa: 0.6234, kb_relative_information_score: 310.4741, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 0.9867, recall: 0.816, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8108, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, build_cpu_time: 0.0878, build_memory: 1794019379.2, f_measure: 0.824, kappa: 0.6414, kb_relative_information_score: 309.6408, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9867, recall: 0.824, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7745, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, build_cpu_time: 0.0306, build_memory: 399798364, f_measure: 0.7902, kappa: 0.5728, kb_relative_information_score: 273.8647, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.9867, recall: 0.79, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8314, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 0.0534, build_memory: 922665991.2, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 0.0506, build_memory: 807570892.8, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 0.0523, build_memory: 939008082.4, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 0.0534, build_memory: 755969300, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, build_cpu_time: 0.0583, build_memory: 3166550442.4, f_measure: 0.6919, kappa: 0.3698, kb_relative_information_score: 117.2484, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.694, prior_entropy: 0.9867, recall: 0.694, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9457, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 41.0106, build_memory: 25951782.4, f_measure: 0.8316, kappa: 0.6561, kb_relative_information_score: 304.8569, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9867, recall: 0.832, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7295, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, build_cpu_time: 75.4839, build_memory: 507104444.8, f_measure: 0.848, kappa: 0.6903, kb_relative_information_score: 337.1413, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7156, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, build_cpu_time: 156.9052, build_memory: 3310282805.6, f_measure: 0.8378, kappa: 0.669, kb_relative_information_score: 332.1968, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8377, predictive_accuracy: 0.838, prior_entropy: 0.9867, recall: 0.838, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7654, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, build_cpu_time: 314.6565, build_memory: 399735403.2, f_measure: 0.858, kappa: 0.7105, kb_relative_information_score: 353.7634, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7316, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, build_cpu_time: 94.2492, build_memory: 1429585316.8, f_measure: 0.8757, kappa: 0.7462, kb_relative_information_score: 372.9275, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9867, recall: 0.876, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7071, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, build_cpu_time: 47.7689, build_memory: 71240767.2, f_measure: 0.8552, kappa: 0.7039, kb_relative_information_score: 352.3363, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9867, recall: 0.856, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7542, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 22.4841, build_memory: 148208929.6, f_measure: 0.8716, kappa: 0.7377, kb_relative_information_score: 368.6504, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7137, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 11.6652, build_memory: 161378824, f_measure: 0.8717, kappa: 0.738, kb_relative_information_score: 365.225, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7071, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, build_cpu_time: 6.0586, build_memory: 70817652, f_measure: 0.8621, kappa: 0.7193, kb_relative_information_score: 350.7071, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8623, predictive_accuracy: 0.862, prior_entropy: 0.9867, recall: 0.862, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7332, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, build_cpu_time: 1.0807, build_memory: 579517212.8, f_measure: 0.854, kappa: 0.7027, kb_relative_information_score: 345.16, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8541, predictive_accuracy: 0.854, prior_entropy: 0.9867, recall: 0.854, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7212, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, build_cpu_time: 2.1851, build_memory: 350926086.4, f_measure: 0.8597, kappa: 0.7135, kb_relative_information_score: 351.5538, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.734, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, build_cpu_time: 4.4659, build_memory: 273172502.4, f_measure: 0.8716, kappa: 0.7377, kb_relative_information_score: 367.448, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6999, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 16.5034, build_memory: 939598353.6, f_measure: 0.8836, kappa: 0.7623, kb_relative_information_score: 381.6533, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9867, recall: 0.884, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6765, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 3.9767, build_memory: 1336837424, f_measure: 0.8674, kappa: 0.7289, kb_relative_information_score: 362.1324, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7273, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, build_cpu_time: 1.7044, build_memory: 217005020, f_measure: 0.8675, kappa: 0.7292, kb_relative_information_score: 364.5036, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7059, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 0.8811, build_memory: 809025036, f_measure: 0.8611, kappa: 0.7158, kb_relative_information_score: 356.9592, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8627, predictive_accuracy: 0.862, prior_entropy: 0.9867, recall: 0.862, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7148, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, build_cpu_time: 0.462, build_memory: 449715177.6, f_measure: 0.8487, kappa: 0.6904, kb_relative_information_score: 347.9768, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8511, predictive_accuracy: 0.85, prior_entropy: 0.9867, recall: 0.85, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7178, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, build_cpu_time: 0.2869, build_memory: 286619584.8, f_measure: 0.8601, kappa: 0.7154, kb_relative_information_score: 350.9167, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7283, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 0.5464, build_memory: 804573412.8, f_measure: 0.8581, kappa: 0.7111, kb_relative_information_score: 356.5241, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8583, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7353, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, build_cpu_time: 1.1036, build_memory: 910493024, f_measure: 0.8699, kappa: 0.7347, kb_relative_information_score: 365.5619, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9867, recall: 0.87, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7206, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, build_cpu_time: 2.368, build_memory: 619200350.4, f_measure: 0.8737, kappa: 0.7423, kb_relative_information_score: 370.5284, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9867, recall: 0.874, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7082, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, build_cpu_time: 4.7026, build_memory: 785433087.2, f_measure: 0.8777, kappa: 0.7502, kb_relative_information_score: 375.4907, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6988, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, build_cpu_time: 0.0676, build_memory: 227397134.4, f_measure: 0.6141, kappa: 0.2139, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.614, prior_entropy: 0.9867, recall: 0.614, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6199, root_relative_squared_error: 1.2515, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, build_cpu_time: 0.0466, build_memory: 195733212, f_measure: 0.6141, kappa: 0.2139, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.614, prior_entropy: 0.9867, recall: 0.614, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6199, root_relative_squared_error: 1.2515, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, build_cpu_time: 0.8039, build_memory: 529718160.8, f_measure: 0.8679, kappa: 0.7307, kb_relative_information_score: 360.6871, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9867, recall: 0.868, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6055, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 5.0835, build_memory: 832556329.6, f_measure: 0.8717, kappa: 0.738, kb_relative_information_score: 367.4968, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7153, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, build_cpu_time: 2.9066, build_memory: 695129751.2, f_measure: 0.8621, kappa: 0.7193, kb_relative_information_score: 361.4899, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8623, predictive_accuracy: 0.862, prior_entropy: 0.9867, recall: 0.862, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7251, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, build_cpu_time: 1.2779, build_memory: 772891608, f_measure: 0.8636, kappa: 0.7213, kb_relative_information_score: 355.4797, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9867, recall: 0.864, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7331, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.687, build_memory: 1000121960, f_measure: 0.8315, kappa: 0.6558, kb_relative_information_score: 324.3554, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9867, recall: 0.832, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7703, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, build_cpu_time: 0.5223, build_memory: 2325382417.6, f_measure: 0.6284, kappa: 0.2437, kb_relative_information_score: 72.949, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6289, predictive_accuracy: 0.628, prior_entropy: 0.9867, recall: 0.628, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9895, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.6433, build_memory: 630225612.8, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 366.4274, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6659, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.0201, build_memory: 1737775653.6, f_measure: 0.8515, kappa: 0.6967, kb_relative_information_score: 299.8399, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9867, recall: 0.852, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6745, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 0.2078, build_memory: 477224064.8, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, build_cpu_time: 0.046, build_memory: 1219193380.8, f_measure: 0.8421, kappa: 0.6786, kb_relative_information_score: 304.0088, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7495, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, build_cpu_time: 0.0001, build_memory: 718721374.4, f_measure: 0.6141, kappa: 0.2139, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.614, prior_entropy: 0.9867, recall: 0.614, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6199, root_relative_squared_error: 1.2515, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0991, build_memory: 534310976, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, build_cpu_time: 0.0462, build_memory: 197708835.2, f_measure: 0.6687, kappa: 0.3219, kb_relative_information_score: 163.092, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6691, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1562, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, build_cpu_time: 0.076, build_memory: 831252639.2, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.0168, build_memory: 52402994.4, f_measure: 0.6804, kappa: 0.3466, kb_relative_information_score: 100.4427, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.682, prior_entropy: 0.9867, recall: 0.682, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9295, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, build_cpu_time: 0.0053, build_memory: 190662793.6, f_measure: 0.7759, kappa: 0.5431, kb_relative_information_score: 269.8994, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9555, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, build_cpu_time: 0.0056, build_memory: 751391564, f_measure: 0.7759, kappa: 0.5431, kb_relative_information_score: 269.8994, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9555, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, build_cpu_time: 0.0194, build_memory: 291330259.2, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, build_cpu_time: 0.0002, build_memory: 318179454.4, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, build_cpu_time: 0.0002, build_memory: 806952984.8, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, build_cpu_time: 0.0034, build_memory: 302599177.6, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, build_cpu_time: 0.0311, build_memory: 199980459.2, f_measure: 0.6352, kappa: 0.2604, kb_relative_information_score: 124.0662, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6375, predictive_accuracy: 0.634, prior_entropy: 0.9867, recall: 0.634, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2213, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.8888, build_memory: 1217132336.8, f_measure: 0.6716, kappa: 0.3302, kb_relative_information_score: 143.5797, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6713, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9988, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.6021, build_memory: 1047043749.6, f_measure: 0.6716, kappa: 0.3302, kb_relative_information_score: 143.5797, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6713, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9988, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, build_cpu_time: 0.4047, build_memory: 793458552, f_measure: 0.6663, kappa: 0.3205, kb_relative_information_score: 136.9268, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6666, predictive_accuracy: 0.666, prior_entropy: 0.9867, recall: 0.666, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0345, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, build_cpu_time: 0.7558, build_memory: 632096534.4, f_measure: 0.6544, kappa: 0.2936, kb_relative_information_score: 134.2835, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6538, predictive_accuracy: 0.656, prior_entropy: 0.9867, recall: 0.656, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0292, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, build_cpu_time: 1.4422, build_memory: 473080681.6, f_measure: 0.6621, kappa: 0.3092, kb_relative_information_score: 131.3449, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6617, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0315, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, build_cpu_time: 1.4217, build_memory: 1900476923.2, f_measure: 0.6621, kappa: 0.3092, kb_relative_information_score: 131.3449, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6617, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0315, scimark_benchmark: 939.8999,

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