OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.5269, kappa: -0.0108, kb_relative_information_score: -1.0323, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5221, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6401, kappa: 0.1823, kb_relative_information_score: 45.0135, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6365, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.677, kappa: 0.2712, kb_relative_information_score: 101.5385, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7261, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7458, kappa: 0.4264, kb_relative_information_score: 205.9198, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7451, predictive_accuracy: 0.7521, prior_entropy: 0.9279, recall: 0.7521, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.7877, kappa: 0.5306, kb_relative_information_score: 274.5943, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7886, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8265, kappa: 0.6055, kb_relative_information_score: 325.6094, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8406, predictive_accuracy: 0.8353, prior_entropy: 0.9279, recall: 0.8353, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6424, kappa: 0.1857, kb_relative_information_score: 45.8438, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6431, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.6133, kappa: 0.1239, kb_relative_information_score: 24.3234, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6239, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8833, kappa: 0.7403, kb_relative_information_score: 414.2605, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8831, predictive_accuracy: 0.8835, prior_entropy: 0.9279, recall: 0.8835, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8831, kappa: 0.7397, kb_relative_information_score: 414.999, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8829, predictive_accuracy: 0.8835, prior_entropy: 0.9279, recall: 0.8835, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 273.8558, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.727, kappa: 0.384, kb_relative_information_score: 180.5308, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7996, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7679, kappa: 0.4721, kb_relative_information_score: 230.5694, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7781, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7751, kappa: 0.497, kb_relative_information_score: 260.9317, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.774, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5948, kappa: 0.1052, kb_relative_information_score: 13.6035, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6513, predictive_accuracy: 0.6722, prior_entropy: 0.9279, recall: 0.6722, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 273.8558, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5598, kappa: 0.0262, kb_relative_information_score: 3.1432, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.574, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9239, kappa: 0.8321, kb_relative_information_score: 498.2384, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9248, predictive_accuracy: 0.9235, prior_entropy: 0.9279, recall: 0.9235, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8848, kappa: 0.7437, kb_relative_information_score: 416.5766, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8846, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.28, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7842, kappa: 0.5221, kb_relative_information_score: 274.5213, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7847, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5948, kappa: 0.1052, kb_relative_information_score: 13.6035, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6513, predictive_accuracy: 0.6722, prior_entropy: 0.9279, recall: 0.6722, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.6329, kappa: 0.1651, kb_relative_information_score: 43.8341, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9769, kappa: 0.949, kb_relative_information_score: 570.5694, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9778, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2698,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5926, kappa: 0.0798, kb_relative_information_score: 9.5109, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6002, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.8695, kb_relative_information_score: 513.1192, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9425, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5402, kappa: -0.0127, kb_relative_information_score: -4.7808, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7418, kappa: 0.4232, kb_relative_information_score: 210.6066, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7405, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8431,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7659, kappa: 0.4681, kb_relative_information_score: 233.176, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.773, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8244,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6081, kappa: 0.1089, kb_relative_information_score: 24.1534, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6092, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7049, kappa: 0.3302, kb_relative_information_score: 131.3047, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7053, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9239, kappa: 0.8321, kb_relative_information_score: 498.2384, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9248, predictive_accuracy: 0.9235, prior_entropy: 0.9279, recall: 0.9235, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.8695, kb_relative_information_score: 513.1192, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9425, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6864, kappa: 0.2968, kb_relative_information_score: 131.2544, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6839, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.957, kappa: 0.9053, kb_relative_information_score: 537.9244, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9581, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8537, kappa: 0.6688, kb_relative_information_score: 373.912, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8603, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,

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