OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9675, kappa: 0.7368, kb_relative_information_score: 0.4355, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9653, number_of_instances: 3772, precision: 0.9716, predictive_accuracy: 0.9653, prior_entropy: 0.3324, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.6725, unweighted_recall: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.981, kappa: 0.8318, kb_relative_information_score: 0.681, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9814, number_of_instances: 3772, precision: 0.9809, predictive_accuracy: 0.9814, prior_entropy: 0.3324, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.4741, unweighted_recall: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9802, kappa: 0.8259, kb_relative_information_score: 0.6191, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9804, number_of_instances: 3772, precision: 0.98, predictive_accuracy: 0.9804, prior_entropy: 0.3324, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5262, unweighted_recall: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4961, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9863, kappa: 0.882, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9862, number_of_instances: 3772, precision: 0.9865, predictive_accuracy: 0.9862, prior_entropy: 0.3324, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4897, unweighted_recall: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9866, kappa: 0.8845, kb_relative_information_score: 0.8326, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9865, number_of_instances: 3772, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 0.3324, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.485, unweighted_recall: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, kb_relative_information_score: -7.8708, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 4.2345, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4883, root_relative_squared_error: 2.0364, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0005, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 0.4947, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9655, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3324, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.6617, unweighted_recall: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.3123, kappa: 0.021, kb_relative_information_score: -8.4095, mean_absolute_error: 0.76, mean_prior_absolute_error: 0.1152, weighted_recall: 0.2402, number_of_instances: 3772, precision: 0.927, predictive_accuracy: 0.2402, prior_entropy: 0.3324, relative_absolute_error: 6.5983, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.8717, root_relative_squared_error: 3.6354, unweighted_recall: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 0.0006, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, kb_relative_information_score: -6.1725, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 3.1218, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.5746, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0038, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3854, f_measure: 0.7553, kappa: -0.0883, kb_relative_information_score: -3.2077, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.1152, weighted_recall: 0.6723, number_of_instances: 3772, precision: 0.8649, predictive_accuracy: 0.6723, prior_entropy: 0.3324, relative_absolute_error: 3.1342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.5654, root_relative_squared_error: 2.3582, unweighted_recall: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, kb_relative_information_score: -0.4951, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.238, root_relative_squared_error: 0.9926, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0005, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0005, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, kb_relative_information_score: 0.0015, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, kb_relative_information_score: -0.3951, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.9931, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, kb_relative_information_score: -0.0159, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.9995, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: -0.0149, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: -0.0149, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -5.622, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 2.5806, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3172, root_relative_squared_error: 1.323, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, kb_relative_information_score: -0.3963, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.9931, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 0.0004, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, kb_relative_information_score: -0.9433, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 1.027, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.9932, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.0009, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9388, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1, unweighted_recall: 0.5,

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