Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 21697 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

21697 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: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8261, kappa: 0.805, kb_relative_information_score: 0.8327, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8286, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7939, kappa: 0.7717, kb_relative_information_score: 0.8172, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7975, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.717, kappa: 0.6833, kb_relative_information_score: 0.7306, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7222, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7594, kappa: 0.7311, kb_relative_information_score: 0.7469, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7614, predictive_accuracy: 0.758, prior_entropy: 3.3219, recall: 0.758, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.22, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.7904, kappa: 0.7694, kb_relative_information_score: 0.7083, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7899, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8261, kappa: 0.805, kb_relative_information_score: 0.8327, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8286, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7594, kappa: 0.7311, kb_relative_information_score: 0.7469, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7614, predictive_accuracy: 0.758, prior_entropy: 3.3219, recall: 0.758, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.22, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.717, kappa: 0.6833, kb_relative_information_score: 0.7306, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7222, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7939, kappa: 0.7717, kb_relative_information_score: 0.8172, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7975, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.7904, kappa: 0.7694, kb_relative_information_score: 0.7083, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7899, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.6169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8528, kappa: 0.8361, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8542, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8499, kappa: 0.8328, kb_relative_information_score: 0.8563, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8512, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8528, kappa: 0.8361, kb_relative_information_score: 0.8411, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8542, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.852, kappa: 0.8356, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8526, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, kappa: 0.1011, kb_relative_information_score: 0.1224, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.191, prior_entropy: 3.3219, recall: 0.191, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8333, kappa: 0.8161, kb_relative_information_score: 0.7557, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8332, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.828, kappa: 0.81, kb_relative_information_score: 0.7549, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8283, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.7576, kappa: 0.7322, kb_relative_information_score: 0.7597, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.759, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 0.7661, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.7947, kappa: 0.7711, kb_relative_information_score: 0.8022, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7961, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8494, kappa: 0.8328, kb_relative_information_score: 0.2895, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8498, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.7764, kappa: 0.7522, kb_relative_information_score: 0.2792, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.782, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, kappa: 0.0128, kb_relative_information_score: 0.0708, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1115, prior_entropy: 3.3219, recall: 0.1115, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8049, kappa: 0.7833, kb_relative_information_score: 0.7961, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7817, kappa: 0.7567, kb_relative_information_score: 0.771, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7879, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7631, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7716, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8306, kappa: 0.8128, kb_relative_information_score: 0.8238, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8049, kappa: 0.7833, kb_relative_information_score: 0.7961, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8477, kappa: 0.8317, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8476, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8501, kappa: 0.8339, kb_relative_information_score: 0.8437, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8503, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.5392, kappa: 0.4889, kb_relative_information_score: 0.519, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6158, predictive_accuracy: 0.54, prior_entropy: 3.3219, recall: 0.54, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8501, kappa: 0.8339, kb_relative_information_score: 0.8437, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8503, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7817, kappa: 0.7567, kb_relative_information_score: 0.771, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7879, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, kappa: 0.0128, kb_relative_information_score: 0.0708, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1115, prior_entropy: 3.3219, recall: 0.1115, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8487, kappa: 0.8322, kb_relative_information_score: 0.8421, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8489, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8577, kappa: 0.8422, kb_relative_information_score: 0.8515, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8477, kappa: 0.8317, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8476, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7852, kappa: 0.76, kb_relative_information_score: 0.7741, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.5277, kappa: 0.4417, kb_relative_information_score: 0.4745, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6265, predictive_accuracy: 0.4975, prior_entropy: 3.3219, recall: 0.4975, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.317, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7631, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7716, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8446, kappa: 0.8278, kb_relative_information_score: 0.8379, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8511, kappa: 0.835, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8513, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8367, kappa: 0.8194, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8373, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8487, kappa: 0.8322, kb_relative_information_score: 0.8421, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8489, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8464, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4772, kappa: -0.0456, kb_relative_information_score: 0.0159, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.059, prior_entropy: 3.3219, recall: 0.059, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4772, kappa: -0.0456, kb_relative_information_score: 0.0159, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.059, prior_entropy: 3.3219, recall: 0.059, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8464, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8149, kappa: 0.795, kb_relative_information_score: 0.8071, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.862, kappa: 0.8461, kb_relative_information_score: 0.8552, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.863, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7719, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8483, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.85, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8444, kappa: 0.8267, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8705, 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: 0.8707, 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: 0.6956, f_measure: 0.4588, kappa: 0.3911, kb_relative_information_score: 0.4269, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5769, predictive_accuracy: 0.452, prior_entropy: 3.3219, recall: 0.452, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.1035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8149, kappa: 0.795, kb_relative_information_score: 0.8071, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8367, kappa: 0.8194, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8373, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8577, kappa: 0.8422, kb_relative_information_score: 0.8515, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8617, kappa: 0.8461, kb_relative_information_score: 0.8552, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8628, predictive_accuracy: 0.8615, prior_entropy: 3.3219, recall: 0.8615, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, kappa: 0.0128, kb_relative_information_score: 0.0708, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1115, prior_entropy: 3.3219, recall: 0.1115, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8473, kappa: 0.8311, kb_relative_information_score: 0.841, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8475, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8477, kappa: 0.8317, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8476, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8738, kappa: 0.8594, kb_relative_information_score: 0.8677, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8744, predictive_accuracy: 0.8735, prior_entropy: 3.3219, recall: 0.8735, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8692, kappa: 0.8544, kb_relative_information_score: 0.863, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8699, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7632, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.772, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8692, kappa: 0.8544, kb_relative_information_score: 0.863, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8699, predictive_accuracy: 0.869, prior_entropy: 3.3219, recall: 0.869, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, kappa: 0.0128, kb_relative_information_score: 0.0708, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1115, prior_entropy: 3.3219, recall: 0.1115, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7455, kappa: 0.7189, kb_relative_information_score: 0.7354, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7592, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.4763, kappa: 0.3694, kb_relative_information_score: 0.4065, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6184, predictive_accuracy: 0.4325, prior_entropy: 3.3219, recall: 0.4325, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8417, kappa: 0.825, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7631, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7716, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7631, kappa: 0.7372, kb_relative_information_score: 0.7527, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7716, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4508, f_measure: 0.0217, kappa: -0.0983, kb_relative_information_score: -0.0337, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3275, predictive_accuracy: 0.0115, prior_entropy: 3.3219, recall: 0.0115, relative_absolute_error: 1.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.4821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4661, kappa: -0.0678, kb_relative_information_score: -0.005, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.039, prior_entropy: 3.3219, recall: 0.039, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8446, kappa: 0.8278, kb_relative_information_score: 0.8379, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8448, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8261, kappa: 0.8078, kb_relative_information_score: 0.8191, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8279, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8574, kappa: 0.8417, kb_relative_information_score: 0.851, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8582, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7637, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,

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