OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35040 runs submitted
2 likes downloaded by 2 people , 5 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

35040 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: 0.9997, f_measure: 0.9705, kappa: 0.9693, kb_relative_information_score: 0.9752, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9706, predictive_accuracy: 0.9705, prior_entropy: 4.6998, recall: 0.9705, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9039, kappa: 0.9, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9042, predictive_accuracy: 0.9039, prior_entropy: 4.6998, recall: 0.9039, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9039, kappa: 0.9, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9042, predictive_accuracy: 0.9039, prior_entropy: 4.6998, recall: 0.9039, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9705, kappa: 0.9693, kb_relative_information_score: 0.9752, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9706, predictive_accuracy: 0.9705, prior_entropy: 4.6998, recall: 0.9705, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9039, kappa: 0.9, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9042, predictive_accuracy: 0.9039, prior_entropy: 4.6998, recall: 0.9039, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9591, kappa: 0.9575, kb_relative_information_score: 18734.6208, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 4.6998, recall: 0.9592, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.2932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.7169, kappa: 0.7049, kb_relative_information_score: 14079.1048, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7239, predictive_accuracy: 0.7163, prior_entropy: 4.6998, recall: 0.7163, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.5232, kappa: 0.4798, kb_relative_information_score: 8877.3701, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.612, predictive_accuracy: 0.4999, prior_entropy: 4.6998, recall: 0.4999, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.7272, kappa: 0.7159, kb_relative_information_score: 14451.0361, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7311, predictive_accuracy: 0.7268, prior_entropy: 4.6998, recall: 0.7268, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.6387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9622, kappa: 0.9607, kb_relative_information_score: 18897.9472, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.9622, prior_entropy: 4.6998, recall: 0.9622, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.2736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.5431, kappa: 0.5382, kb_relative_information_score: 11069.5081, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5878, predictive_accuracy: 0.5559, prior_entropy: 4.6998, recall: 0.5559, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8223, kappa: 0.8136, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8278, predictive_accuracy: 0.8208, prior_entropy: 4.6998, recall: 0.8208, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9713, kappa: 0.9701, kb_relative_information_score: 0.9753, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9714, predictive_accuracy: 0.9713, prior_entropy: 4.6998, recall: 0.9713, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9731, kappa: 0.972, kb_relative_information_score: 0.9772, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9732, predictive_accuracy: 0.9731, prior_entropy: 4.6998, recall: 0.9731, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.2121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.6532, kappa: 0.6416, kb_relative_information_score: 0.7317, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6551, predictive_accuracy: 0.6555, prior_entropy: 4.6998, recall: 0.6555, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8078, kappa: 0.7734, kb_relative_information_score: 0.7835, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.873, predictive_accuracy: 0.7821, prior_entropy: 4.6998, recall: 0.7821, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.0983, kappa: 0.0623, kb_relative_information_score: 0.0874, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.1031, predictive_accuracy: 0.0984, prior_entropy: 4.6998, recall: 0.0984, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2634, root_relative_squared_error: 1.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.6528, kappa: 0.6415, kb_relative_information_score: 0.7325, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6547, predictive_accuracy: 0.6553, prior_entropy: 4.6998, recall: 0.6553, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.3272, kappa: 0.3001, kb_relative_information_score: 0.3186, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.3334, predictive_accuracy: 0.3271, prior_entropy: 4.6998, recall: 0.3271, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2275, root_relative_squared_error: 1.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.6762, kappa: 0.5786, kb_relative_information_score: 0.5917, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.879, predictive_accuracy: 0.5947, prior_entropy: 4.6998, recall: 0.5947, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9738, kappa: 0.9728, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 4.6998, recall: 0.9738, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9707, kappa: 0.9695, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 4.6998, recall: 0.9707, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9723, kappa: 0.9712, kb_relative_information_score: 0.977, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 4.6998, recall: 0.9723, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.2127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9732, kappa: 0.9721, kb_relative_information_score: 0.9777, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 4.6998, recall: 0.9732, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.2112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.1733, kappa: 0.1409, kb_relative_information_score: 0.1639, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.1753, predictive_accuracy: 0.174, prior_entropy: 4.6998, recall: 0.174, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2521, root_relative_squared_error: 1.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.8219, kappa: 0.7695, kb_relative_information_score: 0.7792, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9117, predictive_accuracy: 0.7784, prior_entropy: 4.6998, recall: 0.7784, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.6382, kappa: 0.6286, kb_relative_information_score: 0.705, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.644, predictive_accuracy: 0.643, prior_entropy: 4.6998, recall: 0.643, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.6945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8334, kappa: 0.8267, kb_relative_information_score: 0.8314, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8336, predictive_accuracy: 0.8334, prior_entropy: 4.6998, recall: 0.8334, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9702, kappa: 0.969, kb_relative_information_score: 0.975, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 4.6998, recall: 0.9702, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9444, kappa: 0.9421, kb_relative_information_score: 0.9399, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9448, predictive_accuracy: 0.9444, prior_entropy: 4.6998, recall: 0.9444, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kappa: 0.0105, kb_relative_information_score: 0.0374, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.049, prior_entropy: 4.6998, recall: 0.049, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2705, root_relative_squared_error: 1.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0386, prior_entropy: 4.6998, recall: 0.0386, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9738, kappa: 0.9727, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 4.6998, recall: 0.9738, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9727, kappa: 0.9716, kb_relative_information_score: 0.9769, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 4.6998, recall: 0.9727, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.6622, kappa: 0.652, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6658, predictive_accuracy: 0.6654, prior_entropy: 4.6998, recall: 0.6654, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.6714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9505, kappa: 0.9484, kb_relative_information_score: 0.9444, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9507, predictive_accuracy: 0.9504, prior_entropy: 4.6998, recall: 0.9504, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0275, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0393, prior_entropy: 4.6998, recall: 0.0393, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 0.0283, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0397, prior_entropy: 4.6998, recall: 0.0397, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9092, kappa: 0.9055, kb_relative_information_score: 0.9165, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9094, predictive_accuracy: 0.9091, prior_entropy: 4.6998, recall: 0.9091, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.842, kappa: 0.8346, kb_relative_information_score: 0.8069, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8461, predictive_accuracy: 0.841, prior_entropy: 4.6998, recall: 0.841, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8892, kappa: 0.8651, kb_relative_information_score: 0.8687, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9273, predictive_accuracy: 0.8703, prior_entropy: 4.6998, recall: 0.8703, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9654, kappa: 0.9641, kb_relative_information_score: 0.965, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 4.6998, recall: 0.9655, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9661, kappa: 0.9648, kb_relative_information_score: 0.9657, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9663, predictive_accuracy: 0.9662, prior_entropy: 4.6998, recall: 0.9662, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8262, kappa: 0.8181, kb_relative_information_score: 0.7936, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8305, predictive_accuracy: 0.8252, prior_entropy: 4.6998, recall: 0.8252, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.6609, kappa: 0.6502, kb_relative_information_score: 0.7424, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6633, predictive_accuracy: 0.6637, prior_entropy: 4.6998, recall: 0.6637, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.7915, kappa: 0.7822, kb_relative_information_score: 0.7499, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7973, predictive_accuracy: 0.7906, prior_entropy: 4.6998, recall: 0.7906, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9697, kappa: 0.9685, kb_relative_information_score: 0.9748, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9699, predictive_accuracy: 0.9697, prior_entropy: 4.6998, recall: 0.9697, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.967, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 4.6998, recall: 0.9657, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.045, root_relative_squared_error: 0.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8423, kappa: 0.835, kb_relative_information_score: 0.807, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8464, predictive_accuracy: 0.8414, prior_entropy: 4.6998, recall: 0.8414, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.099, root_relative_squared_error: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9507, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 4.6998, recall: 0.9526, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9714, kappa: 0.9703, kb_relative_information_score: 0.9761, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 4.6998, recall: 0.9714, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8522, kappa: 0.8462, kb_relative_information_score: 0.8512, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8524, predictive_accuracy: 0.8521, prior_entropy: 4.6998, recall: 0.8521, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8186, kappa: 0.7767, kb_relative_information_score: 0.7872, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8965, predictive_accuracy: 0.7854, prior_entropy: 4.6998, recall: 0.7854, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.8186, kappa: 0.7767, kb_relative_information_score: 0.7872, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8965, predictive_accuracy: 0.7854, prior_entropy: 4.6998, recall: 0.7854, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0267, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, predictive_accuracy: 0.0382, prior_entropy: 4.6998, recall: 0.0382, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9176, kappa: 0.9141, kb_relative_information_score: 0.9, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9186, predictive_accuracy: 0.9175, prior_entropy: 4.6998, recall: 0.9175, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9176, kappa: 0.9141, kb_relative_information_score: 0.9, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9186, predictive_accuracy: 0.9175, prior_entropy: 4.6998, recall: 0.9175, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9317, kappa: 0.9289, kb_relative_information_score: 0.9272, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9321, predictive_accuracy: 0.9316, prior_entropy: 4.6998, recall: 0.9316, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9317, kappa: 0.9289, kb_relative_information_score: 0.9272, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9321, predictive_accuracy: 0.9316, prior_entropy: 4.6998, recall: 0.9316, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.963, kappa: 0.9615, kb_relative_information_score: 0.968, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9632, predictive_accuracy: 0.963, prior_entropy: 4.6998, recall: 0.963, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.966, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 4.6998, recall: 0.9596, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9496, kappa: 0.9475, kb_relative_information_score: 0.9377, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9499, predictive_accuracy: 0.9496, prior_entropy: 4.6998, recall: 0.9496, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.7745, kappa: 0.7627, kb_relative_information_score: 0.7076, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7855, predictive_accuracy: 0.7718, prior_entropy: 4.6998, recall: 0.7718, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9699, kappa: 0.9686, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 4.6998, recall: 0.9699, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.2167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 0.9634, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.048, root_relative_squared_error: 0.2498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9518, kappa: 0.9499, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 4.6998, recall: 0.9518, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.964, kappa: 0.9625, kb_relative_information_score: 0.967, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9641, predictive_accuracy: 0.964, prior_entropy: 4.6998, recall: 0.964, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9518, kappa: 0.9499, kb_relative_information_score: 0.9594, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 4.6998, recall: 0.9518, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9736, kappa: 0.9725, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 4.6998, recall: 0.9736, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9736, kappa: 0.9725, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 4.6998, recall: 0.9736, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7142, kappa: 0.7016, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7236, predictive_accuracy: 0.7131, prior_entropy: 4.6998, recall: 0.7131, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9643, kappa: 0.9628, kb_relative_information_score: 0.9689, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 4.6998, recall: 0.9643, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9643, kappa: 0.9628, kb_relative_information_score: 0.9689, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 4.6998, recall: 0.9643, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9706, kappa: 0.9694, kb_relative_information_score: 0.975, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 4.6998, recall: 0.9706, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.2225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8997, kappa: 0.8702, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9433, predictive_accuracy: 0.8752, prior_entropy: 4.6998, recall: 0.8752, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8997, kappa: 0.8702, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9433, predictive_accuracy: 0.8752, prior_entropy: 4.6998, recall: 0.8752, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9706, kappa: 0.9694, kb_relative_information_score: 0.975, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 4.6998, recall: 0.9706, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.2225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9569, kappa: 0.9552, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.957, predictive_accuracy: 0.9569, prior_entropy: 4.6998, recall: 0.9569, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9569, kappa: 0.9552, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.957, predictive_accuracy: 0.9569, prior_entropy: 4.6998, recall: 0.9569, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9569, kappa: 0.9552, kb_relative_information_score: 0.9609, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.957, predictive_accuracy: 0.9569, prior_entropy: 4.6998, recall: 0.9569, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9664, kappa: 0.965, kb_relative_information_score: 0.9699, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9665, predictive_accuracy: 0.9664, prior_entropy: 4.6998, recall: 0.9664, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8419, kappa: 0.8345, kb_relative_information_score: 0.807, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8459, predictive_accuracy: 0.8409, prior_entropy: 4.6998, recall: 0.8409, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.099, root_relative_squared_error: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9664, kappa: 0.965, kb_relative_information_score: 0.9699, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9665, predictive_accuracy: 0.9664, prior_entropy: 4.6998, recall: 0.9664, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.044, root_relative_squared_error: 0.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8419, kappa: 0.8345, kb_relative_information_score: 0.807, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8459, predictive_accuracy: 0.8409, prior_entropy: 4.6998, recall: 0.8409, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.099, root_relative_squared_error: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.838, kappa: 0.8316, kb_relative_information_score: 0.8498, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.838, predictive_accuracy: 0.8381, prior_entropy: 4.6998, recall: 0.8381, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7483, kappa: 0.6767, kb_relative_information_score: 0.689, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8859, predictive_accuracy: 0.6891, prior_entropy: 4.6998, recall: 0.6891, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7483, kappa: 0.6767, kb_relative_information_score: 0.689, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8859, predictive_accuracy: 0.6891, prior_entropy: 4.6998, recall: 0.6891, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.959, kappa: 0.9574, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9592, predictive_accuracy: 0.959, prior_entropy: 4.6998, recall: 0.959, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8949, kappa: 0.8903, kb_relative_information_score: 0.8927, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8968, predictive_accuracy: 0.8945, prior_entropy: 4.6998, recall: 0.8945, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.959, kappa: 0.9574, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9592, predictive_accuracy: 0.959, prior_entropy: 4.6998, recall: 0.959, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8799, kappa: 0.8749, kb_relative_information_score: 0.8663, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8814, predictive_accuracy: 0.8798, prior_entropy: 4.6998, recall: 0.8798, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8799, kappa: 0.8749, kb_relative_information_score: 0.8663, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8814, predictive_accuracy: 0.8798, prior_entropy: 4.6998, recall: 0.8798, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8949, kappa: 0.8903, kb_relative_information_score: 0.8927, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8968, predictive_accuracy: 0.8945, prior_entropy: 4.6998, recall: 0.8945, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.0509, kappa: 0.0215, kb_relative_information_score: 0.0478, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0648, predictive_accuracy: 0.0592, prior_entropy: 4.6998, recall: 0.0592, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.269, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8988, kappa: 0.8723, kb_relative_information_score: 0.8809, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9404, predictive_accuracy: 0.8772, prior_entropy: 4.6998, recall: 0.8772, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8988, kappa: 0.8723, kb_relative_information_score: 0.8809, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9404, predictive_accuracy: 0.8772, prior_entropy: 4.6998, recall: 0.8772, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9526, kappa: 0.9507, kb_relative_information_score: 0.9586, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 4.6998, recall: 0.9526, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.2819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9714, kappa: 0.9703, kb_relative_information_score: 0.9761, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 4.6998, recall: 0.9714, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.2174,

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