Task
Supervised Classification on splice

Supervised Classification on splice

Task 45 Supervised Classification splice 20159 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_70 study_98 study_99 under100k under1m
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20159 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9693, kappa: 0.9501, kb_relative_information_score: 0.9314, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9693, number_of_instances: 3190, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 1.4802, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2846, unweighted_recall: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9621, kappa: 0.9385, kb_relative_information_score: 0.9135, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9621, number_of_instances: 3190, precision: 0.9623, predictive_accuracy: 0.9621, prior_entropy: 1.4802, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3152, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9693, kappa: 0.9501, kb_relative_information_score: 0.932, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9693, number_of_instances: 3190, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 1.4802, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.284, unweighted_recall: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.954, kappa: 0.9253, kb_relative_information_score: 0.8989, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9539, number_of_instances: 3190, precision: 0.9542, predictive_accuracy: 0.9539, prior_entropy: 1.4802, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3409, unweighted_recall: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9477, kappa: 0.9142, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9492, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3576, unweighted_recall: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.6465, kappa: 0.4049, kb_relative_information_score: 0.3732, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4101, weighted_recall: 0.6859, number_of_instances: 3190, precision: 0.8035, predictive_accuracy: 0.6859, prior_entropy: 1.4802, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8522, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9522, kappa: 0.9223, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4101, weighted_recall: 0.952, number_of_instances: 3190, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 1.4802, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3536, unweighted_recall: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8836, kappa: 0.8107, kb_relative_information_score: 0.7517, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8837, number_of_instances: 3190, precision: 0.8835, predictive_accuracy: 0.8837, prior_entropy: 1.4802, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5425, unweighted_recall: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.6696, kappa: 0.442, kb_relative_information_score: 0.502, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4101, weighted_recall: 0.7028, number_of_instances: 3190, precision: 0.8103, predictive_accuracy: 0.7028, prior_entropy: 1.4802, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.8118, unweighted_recall: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9593, kappa: 0.9339, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3258, unweighted_recall: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9602, kappa: 0.9353, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9602, number_of_instances: 3190, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 1.4802, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.143, root_relative_squared_error: 0.3158, unweighted_recall: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9693, kappa: 0.9501, kb_relative_information_score: 0.9305, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9693, number_of_instances: 3190, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 1.4802, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2861, unweighted_recall: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9458, kappa: 0.9126, kb_relative_information_score: 0.9, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9455, number_of_instances: 3190, precision: 0.948, predictive_accuracy: 0.9455, prior_entropy: 1.4802, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3647, unweighted_recall: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9534, kappa: 0.9243, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9533, number_of_instances: 3190, precision: 0.9536, predictive_accuracy: 0.9533, prior_entropy: 1.4802, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3434, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.959, kappa: 0.9334, kb_relative_information_score: 0.7711, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9591, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4153, unweighted_recall: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9587, kappa: 0.933, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9586, number_of_instances: 3190, precision: 0.959, predictive_accuracy: 0.9586, prior_entropy: 1.4802, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3381, unweighted_recall: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9237, kappa: 0.8759, kb_relative_information_score: 0.8668, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9238, number_of_instances: 3190, precision: 0.9237, predictive_accuracy: 0.9238, prior_entropy: 1.4802, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4615, unweighted_recall: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9218, kappa: 0.8727, kb_relative_information_score: 0.8643, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9219, number_of_instances: 3190, precision: 0.9218, predictive_accuracy: 0.9219, prior_entropy: 1.4802, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4672, unweighted_recall: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9301, kappa: 0.8864, kb_relative_information_score: 0.8882, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9301, number_of_instances: 3190, precision: 0.9301, predictive_accuracy: 0.9301, prior_entropy: 1.4802, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4474, unweighted_recall: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9468, kappa: 0.9136, kb_relative_information_score: 0.9021, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9467, number_of_instances: 3190, precision: 0.947, predictive_accuracy: 0.9467, prior_entropy: 1.4802, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3756, unweighted_recall: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.959, kappa: 0.9334, kb_relative_information_score: 0.7711, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9591, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4153, unweighted_recall: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9587, kappa: 0.933, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9586, number_of_instances: 3190, precision: 0.959, predictive_accuracy: 0.9586, prior_entropy: 1.4802, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.3381, unweighted_recall: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9361, kappa: 0.8962, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9361, number_of_instances: 3190, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 1.4802, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4199, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9487, kappa: 0.9166, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9486, number_of_instances: 3190, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 1.4802, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3886, unweighted_recall: 0.9437,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9591, kappa: 0.9335, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9594, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3661, unweighted_recall: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9591, kappa: 0.9335, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9594, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3661, unweighted_recall: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9591, kappa: 0.9335, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9594, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3661, unweighted_recall: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9594, kappa: 0.9341, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9592, number_of_instances: 3190, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 1.4802, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3609, unweighted_recall: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9288, kappa: 0.8843, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9288, number_of_instances: 3190, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 1.4802, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4442, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9288, kappa: 0.8843, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9288, number_of_instances: 3190, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 1.4802, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4442, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9288, kappa: 0.8843, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9288, number_of_instances: 3190, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 1.4802, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4442, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9288, kappa: 0.8843, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9288, number_of_instances: 3190, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 1.4802, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4442, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9288, kappa: 0.8843, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9288, number_of_instances: 3190, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 1.4802, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4442, unweighted_recall: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9572, kappa: 0.9304, kb_relative_information_score: 0.8897, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9571, number_of_instances: 3190, precision: 0.9574, predictive_accuracy: 0.9571, prior_entropy: 1.4802, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3613, unweighted_recall: 0.9542,

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