Task
Supervised Classification on labor

Supervised Classification on labor

Task 4 Supervised Classification labor 6412 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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6412 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 40.4017, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.759, kappa: 0.4639, kb_relative_information_score: 29.5246, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.841, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 38.6319, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 39.3761, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 38.5091, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8723, kappa: 0.714, kb_relative_information_score: 37.5474, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8839, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 0.681, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9349, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 38.6867, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9476, kappa: 0.8858, kb_relative_information_score: 43.0819, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 38.2371, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 38.7514, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 38.6037, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9127, kappa: 0.8096, kb_relative_information_score: 41.3953, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9138, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8452, kappa: 0.6722, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8612, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 35.4732, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 39.1478, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9476, kappa: 0.8858, kb_relative_information_score: 41.7649, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 40.5077, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9476, kappa: 0.8858, kb_relative_information_score: 41.914, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9289, kappa: 0.8423, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9306, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 41.1615, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8916, kappa: 0.7578, kb_relative_information_score: 32.5653, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8989, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.7949, kappa: 0.5393, kb_relative_information_score: 31.8503, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8132, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9204, usercpu_time_millis: 1.82, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 39.7661, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.9104, kappa: 0.8006, kb_relative_information_score: 43.2584, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9144, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8723, kappa: 0.714, kb_relative_information_score: 38.4176, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8839, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 38.9454, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 39.7537, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 36.0446, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 42.0941, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 47.5087, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 39.909, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9481, kappa: 0.8883, kb_relative_information_score: 44.4307, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9542, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.221, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 41.7761, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9135, kappa: 0.8138, kb_relative_information_score: 44.8466, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9199, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 34.4424, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9645, kappa: 0.9212, kb_relative_information_score: 45.3253, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9667, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 23.6842, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 27.1744, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -0.1249, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 38.1935, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8796, kappa: 0.745, kb_relative_information_score: 33.2769, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8955, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8965, kappa: 0.7791, kb_relative_information_score: 35.1855, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9072, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 44.4377, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8246, kappa: 0.6149, kb_relative_information_score: 34.0056, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8246, predictive_accuracy: 0.8246, prior_entropy: 0.9393, recall: 0.8246, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7832, kappa: 0.5156, kb_relative_information_score: 22.9496, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.7856, predictive_accuracy: 0.7895, prior_entropy: 0.9393, recall: 0.7895, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9117, kappa: 0.8052, kb_relative_information_score: 45.6649, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8746, kappa: 0.7208, kb_relative_information_score: 32.7011, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8776, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9128, kappa: 0.8096, kb_relative_information_score: 45.4251, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9138, predictive_accuracy: 0.9123, prior_entropy: 0.9393, recall: 0.9123, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 43.1627, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9305, kappa: 0.8494, kb_relative_information_score: 47.6876, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9336, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.947, kappa: 0.8831, kb_relative_information_score: 47.7067, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9477, kappa: 0.8858, kb_relative_information_score: 48.0618, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9486, predictive_accuracy: 0.9474, prior_entropy: 0.9393, recall: 0.9474, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.189, root_relative_squared_error: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 48.4634, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8578, kappa: 0.6846, kb_relative_information_score: 8.7441, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8583, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8596, kappa: 0.6919, kb_relative_information_score: 19.5785, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8789, kappa: 0.7394, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8855, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8947, kappa: 0.7689, kb_relative_information_score: 41.6593, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 20.2099, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8778, kappa: 0.7335, kb_relative_information_score: 40.9002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8791, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8958, kappa: 0.7741, kb_relative_information_score: 21.51, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8991, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.862, kappa: 0.7054, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8729, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8443, kappa: 0.6649, kb_relative_information_score: 36.3752, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8512, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8764, kappa: 0.7273, kb_relative_information_score: 18.7392, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8763, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 38.6377, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.861, kappa: 0.6988, kb_relative_information_score: 18.9098, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8646, predictive_accuracy: 0.8596, prior_entropy: 0.9393, recall: 0.8596, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7761,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs