Task
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
Issue #Downvotes for this reason By


Metric:

60368 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: 0.9854, f_measure: 0.9896, kappa: 0.9098, kb_relative_information_score: 12388.3596, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9898, kappa: 0.9127, kb_relative_information_score: 12037.1498, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9893, kappa: 0.9074, kb_relative_information_score: 12363.2396, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.989, kappa: 0.9045, kb_relative_information_score: 12278.4759, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.4043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.99, kappa: 0.913, kb_relative_information_score: 12172.9422, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.3338, recall: 0.99, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.088, root_relative_squared_error: 0.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9899, kappa: 0.9126, kb_relative_information_score: 12377.3661, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9897, kappa: 0.9117, kb_relative_information_score: 12076.6387, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9886, kappa: 0.9015, kb_relative_information_score: 12331.5808, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.3338, recall: 0.9886, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9889, kappa: 0.9037, kb_relative_information_score: 12334.6212, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9897, kappa: 0.9107, kb_relative_information_score: 12613.6726, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9897, kappa: 0.9109, kb_relative_information_score: 12243.176, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.989, kappa: 0.9055, kb_relative_information_score: 12130.7084, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9896, kappa: 0.91, kb_relative_information_score: 12043.0313, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9891, kappa: 0.9056, kb_relative_information_score: 12291.1241, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.99, kappa: 0.9136, kb_relative_information_score: 12186.689, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9895, kappa: 0.9096, kb_relative_information_score: 12087.3137, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9905, kappa: 0.9172, kb_relative_information_score: 12307.6021, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9888, kappa: 0.9035, kb_relative_information_score: 12378.2864, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9893, kappa: 0.9078, kb_relative_information_score: 12083.7007, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9895, kappa: 0.9094, kb_relative_information_score: 12014.3664, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.989, kappa: 0.9051, kb_relative_information_score: 12105.6934, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9898, kappa: 0.9123, kb_relative_information_score: 12048.2589, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9897, kappa: 0.9114, kb_relative_information_score: 12252.9373, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9895, kappa: 0.9094, kb_relative_information_score: 12002.4888, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.991, kappa: 0.9217, kb_relative_information_score: 12801.4389, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9896, kappa: 0.9099, kb_relative_information_score: 12507.9501, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9891, kappa: 0.9055, kb_relative_information_score: 12435.0394, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.3338, recall: 0.9891, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9897, kappa: 0.9117, kb_relative_information_score: 12049.5599, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9892, kappa: 0.9069, kb_relative_information_score: 12396.1132, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.989, kappa: 0.9051, kb_relative_information_score: 12135.7097, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9893, kappa: 0.908, kb_relative_information_score: 11965.5299, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9896, kappa: 0.91, kb_relative_information_score: 12053.8739, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9883, kappa: 0.8993, kb_relative_information_score: 12260.381, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9897, kappa: 0.9117, kb_relative_information_score: 12037.8253, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9904, kappa: 0.9166, kb_relative_information_score: 12274.2298, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.3338, recall: 0.9904, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9894, kappa: 0.9082, kb_relative_information_score: 12515.7216, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 11968.3793, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9897, kappa: 0.9114, kb_relative_information_score: 12032.231, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9889, kappa: 0.9037, kb_relative_information_score: 12470.4433, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9887, kappa: 0.9021, kb_relative_information_score: 12410.0374, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.99, kappa: 0.9136, kb_relative_information_score: 12240.5342, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.99, kappa: 0.9136, kb_relative_information_score: 12196.6704, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.99, kappa: 0.9135, kb_relative_information_score: 12294.7792, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9895, kappa: 0.9089, kb_relative_information_score: 12586.8925, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9896, kappa: 0.9097, kb_relative_information_score: 12590.0368, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 12013.5754, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9896, kappa: 0.9096, kb_relative_information_score: 12055.5428, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.089, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9892, kappa: 0.9064, kb_relative_information_score: 12312.9743, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9895, kappa: 0.9092, kb_relative_information_score: 12034.2635, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 11966.1517, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9895, kappa: 0.9098, kb_relative_information_score: 12019.6543, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9895, kappa: 0.909, kb_relative_information_score: 12218.7888, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9898, kappa: 0.9127, kb_relative_information_score: 12085.8528, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9905, kappa: 0.9172, kb_relative_information_score: 12283.2897, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9891, kappa: 0.9058, kb_relative_information_score: 11901.7436, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9904, kappa: 0.9174, kb_relative_information_score: 12331.8118, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9905, predictive_accuracy: 0.9904, prior_entropy: 0.3338, recall: 0.9904, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9895, kappa: 0.9096, kb_relative_information_score: 12371.4885, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.99, kappa: 0.9127, kb_relative_information_score: 12122.9337, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.3338, recall: 0.99, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9893, kappa: 0.9076, kb_relative_information_score: 12316.4672, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9895, kappa: 0.9094, kb_relative_information_score: 12007.3593, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.3338, recall: 0.9895, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9891, kappa: 0.9058, kb_relative_information_score: 11906.8715, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9897, kappa: 0.911, kb_relative_information_score: 12168.3271, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9894, kappa: 0.9088, kb_relative_information_score: 12077.7899, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9888, kappa: 0.9026, kb_relative_information_score: 12438.0553, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9889, kappa: 0.9033, kb_relative_information_score: 12461.0745, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.102, root_relative_squared_error: 0.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.99, kappa: 0.9133, kb_relative_information_score: 12135.3817, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9887, kappa: 0.902, kb_relative_information_score: 12423.9277, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9898, kappa: 0.911, kb_relative_information_score: 12314.4046, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 12065.9676, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9897, kappa: 0.9108, kb_relative_information_score: 12333.3467, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9883, kappa: 0.898, kb_relative_information_score: 12429.8624, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.99, kappa: 0.9141, kb_relative_information_score: 12380.8051, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.3338, recall: 0.99, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9897, kappa: 0.9103, kb_relative_information_score: 12049.3909, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9899, kappa: 0.9128, kb_relative_information_score: 12342.5166, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9893, kappa: 0.908, kb_relative_information_score: 12169.1674, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 0.3338, recall: 0.9892, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9895, kappa: 0.9105, kb_relative_information_score: 12048.7926, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9884, kappa: 0.8992, kb_relative_information_score: 12452.4741, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.3338, recall: 0.9884, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9898, kappa: 0.9112, kb_relative_information_score: 12324.0769, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9896, kappa: 0.91, kb_relative_information_score: 12033.4158, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9883, kappa: 0.8985, kb_relative_information_score: 12367.0379, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9893, kappa: 0.9068, kb_relative_information_score: 12617.818, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9898, kappa: 0.9119, kb_relative_information_score: 12041.1051, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9898, predictive_accuracy: 0.9897, prior_entropy: 0.3338, recall: 0.9897, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.99, kappa: 0.9133, kb_relative_information_score: 12294.0964, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 11994.9243, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.3811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9894, kappa: 0.9087, kb_relative_information_score: 12178.6805, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9894, kappa: 0.9086, kb_relative_information_score: 12025.5315, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9891, kappa: 0.9058, kb_relative_information_score: 11910.7728, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.093, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9894, kappa: 0.9091, kb_relative_information_score: 12043.0999, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9897, kappa: 0.9117, kb_relative_information_score: 12037.0319, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9896, kappa: 0.9095, kb_relative_information_score: 12066.3633, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.089, root_relative_squared_error: 0.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.989, kappa: 0.9053, kb_relative_information_score: 12305.3249, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9891, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9891, kappa: 0.9061, kb_relative_information_score: 12252.9696, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.3338, recall: 0.9891, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.99, kappa: 0.9133, kb_relative_information_score: 12142.8537, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9886, kappa: 0.9013, kb_relative_information_score: 12349.9985, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.3338, recall: 0.9886, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9898, kappa: 0.9123, kb_relative_information_score: 12223.461, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9894, kappa: 0.9087, kb_relative_information_score: 12178.581, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9897, kappa: 0.9106, kb_relative_information_score: 12317.5489, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9888, kappa: 0.9028, kb_relative_information_score: 12339.6703, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9899, kappa: 0.9128, kb_relative_information_score: 12304.0522, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.3338, recall: 0.9899, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9895, kappa: 0.9087, kb_relative_information_score: 12539.1766, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 0.3338, recall: 0.9896, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3776,

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