OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24423 runs submitted
0 likes downloaded by 0 people , 0 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_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24423 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: 0.9464, f_measure: 0.9028, kappa: 0.8928, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9063, predictive_accuracy: 0.9035, prior_entropy: 3.3219, recall: 0.9035, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8779, kappa: 0.8644, kb_relative_information_score: 0.8724, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8847, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8709, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9638, kappa: 0.9589, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9669, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9651, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9676, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9673, kappa: 0.9633, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9686, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7139, kappa: 0.6067, kb_relative_information_score: 0.6298, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9204, predictive_accuracy: 0.646, prior_entropy: 3.3219, recall: 0.646, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9724, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6751, kappa: 0.625, kb_relative_information_score: 0.6471, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7174, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.955, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9606, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9368, kappa: 0.925, kb_relative_information_score: 0.9294, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9503, predictive_accuracy: 0.9325, prior_entropy: 3.3219, recall: 0.9325, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.825, kappa: 0.8033, kb_relative_information_score: 0.8149, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8293, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9611, kappa: 0.9567, kb_relative_information_score: 0.9592, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9614, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9631, kappa: 0.9589, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9635, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.915, kappa: 0.8967, kb_relative_information_score: 0.9027, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9409, predictive_accuracy: 0.907, prior_entropy: 3.3219, recall: 0.907, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9557, kappa: 0.9506, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9563, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9551, kappa: 0.95, kb_relative_information_score: 0.9529, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.6046, kappa: 0.5606, kb_relative_information_score: 0.5864, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6096, predictive_accuracy: 0.6045, prior_entropy: 3.3219, recall: 0.6045, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9651, kappa: 0.9606, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9676, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9547, kappa: 0.9494, kb_relative_information_score: 0.9524, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9553, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.959, kappa: 0.9544, kb_relative_information_score: 0.9571, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9593, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9552, kappa: 0.95, kb_relative_information_score: 0.9529, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9711, kappa: 0.9678, kb_relative_information_score: 0.9697, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9161, kappa: 0.9067, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.917, predictive_accuracy: 0.916, prior_entropy: 3.3219, recall: 0.916, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 0.9759, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.0714, kappa: 0.0306, kb_relative_information_score: 0.0876, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9103, predictive_accuracy: 0.1275, prior_entropy: 3.3219, recall: 0.1275, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9665, kappa: 0.9628, kb_relative_information_score: 0.965, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.0547, kappa: 0.0206, kb_relative_information_score: 0.0782, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1185, prior_entropy: 3.3219, recall: 0.1185, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8713, kappa: 0.8572, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8787, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9561, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8713, kappa: 0.8572, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8787, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.0518, kappa: 0.0189, kb_relative_information_score: 0.0766, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.117, prior_entropy: 3.3219, recall: 0.117, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0538, kappa: 0.02, kb_relative_information_score: 0.0776, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.118, prior_entropy: 3.3219, recall: 0.118, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.42, root_relative_squared_error: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8704, kappa: 0.8561, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8775, predictive_accuracy: 0.8705, prior_entropy: 3.3219, recall: 0.8705, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8786, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0566, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1195, prior_entropy: 3.3219, recall: 0.1195, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8708, kappa: 0.8567, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8781, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9566, kappa: 0.9517, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.957, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9511, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9567, predictive_accuracy: 0.956, prior_entropy: 3.3219, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9538, kappa: 0.9478, kb_relative_information_score: 0.9508, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.958, predictive_accuracy: 0.953, prior_entropy: 3.3219, recall: 0.953, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.6501, kappa: 0.5689, kb_relative_information_score: 0.5942, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8648, predictive_accuracy: 0.612, prior_entropy: 3.3219, recall: 0.612, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.873, kappa: 0.8378, kb_relative_information_score: 0.8473, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9291, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8862, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8919, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.1132, kappa: 0.0733, kb_relative_information_score: 0.1278, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6085, predictive_accuracy: 0.166, prior_entropy: 3.3219, recall: 0.166, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9737, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8713, kappa: 0.8572, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.878, predictive_accuracy: 0.8715, prior_entropy: 3.3219, recall: 0.8715, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.9728, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9742, predictive_accuracy: 0.974, prior_entropy: 3.3219, recall: 0.974, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.0489, kappa: 0.0172, kb_relative_information_score: 0.075, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1155, prior_entropy: 3.3219, recall: 0.1155, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9537, kappa: 0.9483, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0566, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1195, prior_entropy: 3.3219, recall: 0.1195, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.241, kappa: 0.1522, kb_relative_information_score: 0.2021, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9116, predictive_accuracy: 0.237, prior_entropy: 3.3219, recall: 0.237, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3906, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.4793, kappa: 0.3506, kb_relative_information_score: 0.3888, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9133, predictive_accuracy: 0.4155, prior_entropy: 3.3219, recall: 0.4155, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3419, root_relative_squared_error: 1.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8506, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9276, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.0905, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9104, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9735, kappa: 0.9706, kb_relative_information_score: 0.9723, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9738, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7212, kappa: 0.6167, kb_relative_information_score: 0.6392, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.655, prior_entropy: 3.3219, recall: 0.655, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.6853, kappa: 0.5706, kb_relative_information_score: 0.5958, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9197, predictive_accuracy: 0.6135, prior_entropy: 3.3219, recall: 0.6135, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9542, kappa: 0.9489, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9638, kappa: 0.9589, kb_relative_information_score: 0.9613, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9669, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.953, kappa: 0.9456, kb_relative_information_score: 0.9488, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9597, predictive_accuracy: 0.951, prior_entropy: 3.3219, recall: 0.951, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9235, kappa: 0.9072, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9449, predictive_accuracy: 0.9165, prior_entropy: 3.3219, recall: 0.9165, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9607, kappa: 0.955, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9651, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 0.978, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9701, kappa: 0.9667, kb_relative_information_score: 0.9686, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9707, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9696, kappa: 0.9661, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9701, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9696, kappa: 0.9661, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9701, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9696, kappa: 0.9661, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9701, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.07, root_relative_squared_error: 0.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.0585, kappa: 0.0228, kb_relative_information_score: 0.0803, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1205, prior_entropy: 3.3219, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0566, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1195, prior_entropy: 3.3219, recall: 0.1195, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.966, kappa: 0.9617, kb_relative_information_score: 0.9639, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.968, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.0585, kappa: 0.0228, kb_relative_information_score: 0.0803, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1205, prior_entropy: 3.3219, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 0.9702, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9719, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.0469, kappa: 0.0161, kb_relative_information_score: 0.074, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.1145, prior_entropy: 3.3219, recall: 0.1145, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.4028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.1031, kappa: 0.0522, kb_relative_information_score: 0.108, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9105, predictive_accuracy: 0.147, prior_entropy: 3.3219, recall: 0.147, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.413, root_relative_squared_error: 1.3768,

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