OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.887, kappa: 0.0767, kb_relative_information_score: -0.1515, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8809, predictive_accuracy: 0.8936, prior_entropy: 0.3638, recall: 0.8936, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.887, kappa: 0.0767, kb_relative_information_score: -0.1515, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8809, predictive_accuracy: 0.8936, prior_entropy: 0.3638, recall: 0.8936, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.8969, kappa: 0.0416, kb_relative_information_score: 0.151, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8806, predictive_accuracy: 0.9216, prior_entropy: 0.3638, recall: 0.9216, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8655, kappa: -0.0343, kb_relative_information_score: -0.4638, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8663, predictive_accuracy: 0.8647, prior_entropy: 0.3638, recall: 0.8647, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3678, root_relative_squared_error: 1.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.887, kappa: 0.0767, kb_relative_information_score: -0.1515, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8809, predictive_accuracy: 0.8936, prior_entropy: 0.3638, recall: 0.8936, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.8655, kappa: -0.0343, kb_relative_information_score: -0.4638, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8663, predictive_accuracy: 0.8647, prior_entropy: 0.3638, recall: 0.8647, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3678, root_relative_squared_error: 1.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8786, kappa: 0.0636, kb_relative_information_score: -0.3174, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.879, predictive_accuracy: 0.8783, prior_entropy: 0.3638, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.887, kappa: 0.0767, kb_relative_information_score: -0.1515, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8809, predictive_accuracy: 0.8936, prior_entropy: 0.3638, recall: 0.8936, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.8722, kappa: -0.0477, kb_relative_information_score: -0.2979, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8645, predictive_accuracy: 0.8801, prior_entropy: 0.3638, recall: 0.8801, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.887, kappa: 0.0767, kb_relative_information_score: -0.1515, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8809, predictive_accuracy: 0.8936, prior_entropy: 0.3638, recall: 0.8936, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8786, kappa: 0.0636, kb_relative_information_score: -0.3174, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.879, predictive_accuracy: 0.8783, prior_entropy: 0.3638, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.8629, kappa: -0.0607, kb_relative_information_score: -0.4833, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8629, predictive_accuracy: 0.8629, prior_entropy: 0.3638, recall: 0.8629, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.1646, kappa: -0.0018, kb_relative_information_score: -8.222, mean_absolute_error: 0.8521, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8631, predictive_accuracy: 0.1479, prior_entropy: 0.3638, recall: 0.1479, relative_absolute_error: 6.5603, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.9231, root_relative_squared_error: 3.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.8629, kappa: -0.0607, kb_relative_information_score: -0.4833, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8629, predictive_accuracy: 0.8629, prior_entropy: 0.3638, recall: 0.8629, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4779, f_measure: 0.8712, kappa: -0.0492, kb_relative_information_score: -0.3174, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8643, predictive_accuracy: 0.8783, prior_entropy: 0.3638, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4779, f_measure: 0.8712, kappa: -0.0492, kb_relative_information_score: -0.3174, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8643, predictive_accuracy: 0.8783, prior_entropy: 0.3638, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.9176, kappa: 0.2361, kb_relative_information_score: 0.3169, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9242, predictive_accuracy: 0.9369, prior_entropy: 0.3638, recall: 0.9369, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4706, f_measure: 0.8639, kappa: -0.0594, kb_relative_information_score: -0.4638, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8631, predictive_accuracy: 0.8647, prior_entropy: 0.3638, recall: 0.8647, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3678, root_relative_squared_error: 1.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.8802, kappa: 0.0677, kb_relative_information_score: -0.2881, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8795, predictive_accuracy: 0.881, prior_entropy: 0.3638, recall: 0.881, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.345, root_relative_squared_error: 1.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, f_measure: 0.8768, kappa: 0.0497, kb_relative_information_score: -0.3369, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8772, predictive_accuracy: 0.8765, prior_entropy: 0.3638, recall: 0.8765, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.88, kappa: 0.0576, kb_relative_information_score: -0.2784, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8782, predictive_accuracy: 0.8819, prior_entropy: 0.3638, recall: 0.8819, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3437, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8786, kappa: 0.0636, kb_relative_information_score: -0.3174, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.879, predictive_accuracy: 0.8783, prior_entropy: 0.3638, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.88, kappa: 0.0576, kb_relative_information_score: -0.2784, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8782, predictive_accuracy: 0.8819, prior_entropy: 0.3638, recall: 0.8819, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3437, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, f_measure: 0.8634, kappa: -0.06, kb_relative_information_score: -0.4736, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.863, predictive_accuracy: 0.8638, prior_entropy: 0.3638, recall: 0.8638, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.369, root_relative_squared_error: 1.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.8763, kappa: 0.0485, kb_relative_information_score: -0.3467, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.877, predictive_accuracy: 0.8756, prior_entropy: 0.3638, recall: 0.8756, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3528, root_relative_squared_error: 1.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.9138, kappa: 0.2149, kb_relative_information_score: 0.2583, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9111, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.8797, kappa: 0.0663, kb_relative_information_score: -0.2979, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8793, predictive_accuracy: 0.8801, prior_entropy: 0.3638, recall: 0.8801, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.3624,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.917, kappa: 0.2324, kb_relative_information_score: 0.3071, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.936, prior_entropy: 0.3638, recall: 0.936, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.917, kappa: 0.2324, kb_relative_information_score: 0.3071, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.936, prior_entropy: 0.3638, recall: 0.936, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.9177, kappa: 0.2526, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.917, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.9177, kappa: 0.2526, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.917, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.9139, kappa: 0.2318, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9086, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2669, root_relative_squared_error: 1.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.9036, kappa: 0.1166, kb_relative_information_score: 0.1803, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8938, predictive_accuracy: 0.9243, prior_entropy: 0.3638, recall: 0.9243, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.8629, kappa: -0.0607, kb_relative_information_score: -0.4833, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8629, predictive_accuracy: 0.8629, prior_entropy: 0.3638, recall: 0.8629, relative_absolute_error: 1.0552, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3702, root_relative_squared_error: 1.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8786, kappa: 0.0636, kb_relative_information_score: -0.3174, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.879, predictive_accuracy: 0.8783, prior_entropy: 0.3638, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,

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

OpenML APIs