Task
Supervised Classification on zoo

Supervised Classification on zoo

Task 1824 Supervised Classification zoo 40 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9043, kappa: 0.8899, kb_relative_information_score: 331.655, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.9058, predictive_accuracy: 0.9168, prior_entropy: 2.4427, recall: 0.9168, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8873, kappa: 0.8789, kb_relative_information_score: 323.4805, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8728, predictive_accuracy: 0.9089, prior_entropy: 2.4427, recall: 0.9089, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.904, kappa: 0.8897, kb_relative_information_score: 331.9961, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.9061, predictive_accuracy: 0.9168, prior_entropy: 2.4427, recall: 0.9168, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8916, kappa: 0.8812, kb_relative_information_score: 328.1622, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8889, predictive_accuracy: 0.9109, prior_entropy: 2.4427, recall: 0.9109, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9072, kappa: 0.8948, kb_relative_information_score: 337.5205, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.9125, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8986, kappa: 0.8867, kb_relative_information_score: 327.5399, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8962, predictive_accuracy: 0.9149, prior_entropy: 2.4427, recall: 0.9149, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.879, kappa: 0.8651, kb_relative_information_score: 332.3524, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8679, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8896, kappa: 0.8737, kb_relative_information_score: 334.2221, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8871, predictive_accuracy: 0.905, prior_entropy: 2.4427, recall: 0.905, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8922, kappa: 0.874, kb_relative_information_score: 340.1959, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8975, predictive_accuracy: 0.905, prior_entropy: 2.4427, recall: 0.905, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8949, kappa: 0.8741, kb_relative_information_score: 339.8132, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.893, predictive_accuracy: 0.905, prior_entropy: 2.4427, recall: 0.905, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8888, kappa: 0.8711, kb_relative_information_score: 336.0814, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8914, predictive_accuracy: 0.903, prior_entropy: 2.4427, recall: 0.903, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8866, kappa: 0.8684, kb_relative_information_score: 337.0743, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8841, predictive_accuracy: 0.901, prior_entropy: 2.4427, recall: 0.901, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8849, kappa: 0.8731, kb_relative_information_score: 329.4318, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8858, predictive_accuracy: 0.905, prior_entropy: 2.4427, recall: 0.905, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8854, kappa: 0.8659, kb_relative_information_score: 338.0023, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8887, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8884, kappa: 0.8707, kb_relative_information_score: 337.568, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.9005, predictive_accuracy: 0.903, prior_entropy: 2.4427, recall: 0.903, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8822, kappa: 0.8682, kb_relative_information_score: 331.1707, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8915, predictive_accuracy: 0.901, prior_entropy: 2.4427, recall: 0.901, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8838, kappa: 0.8656, kb_relative_information_score: 335.3358, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8789, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8879, kappa: 0.8686, kb_relative_information_score: 337.5138, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.887, predictive_accuracy: 0.901, prior_entropy: 2.4427, recall: 0.901, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8718, kappa: 0.8603, kb_relative_information_score: 327.6375, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8522, predictive_accuracy: 0.8951, prior_entropy: 2.4427, recall: 0.8951, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8871, kappa: 0.8707, kb_relative_information_score: 332.6613, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8861, predictive_accuracy: 0.903, prior_entropy: 2.4427, recall: 0.903, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8827, kappa: 0.8675, kb_relative_information_score: 331.8567, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8805, predictive_accuracy: 0.901, prior_entropy: 2.4427, recall: 0.901, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.878, kappa: 0.8576, kb_relative_information_score: 329.6017, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8811, predictive_accuracy: 0.8931, prior_entropy: 2.4427, recall: 0.8931, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.882, kappa: 0.8655, kb_relative_information_score: 330.9117, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8789, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8752, kappa: 0.8576, kb_relative_information_score: 329.9869, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8717, predictive_accuracy: 0.8931, prior_entropy: 2.4427, recall: 0.8931, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8803, kappa: 0.8657, kb_relative_information_score: 334.4675, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8817, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8861, kappa: 0.8662, kb_relative_information_score: 332.3813, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8846, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8883, kappa: 0.8662, kb_relative_information_score: 330.402, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.881, predictive_accuracy: 0.899, prior_entropy: 2.4427, recall: 0.899, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8768, kappa: 0.8625, kb_relative_information_score: 329.9928, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8895, predictive_accuracy: 0.897, prior_entropy: 2.4427, recall: 0.897, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8632, kappa: 0.8473, kb_relative_information_score: 327.61, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8454, predictive_accuracy: 0.8851, prior_entropy: 2.4427, recall: 0.8851, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8794, kappa: 0.8626, kb_relative_information_score: 331.7809, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8759, predictive_accuracy: 0.897, prior_entropy: 2.4427, recall: 0.897, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8812, kappa: 0.8631, kb_relative_information_score: 330.5351, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8836, predictive_accuracy: 0.897, prior_entropy: 2.4427, recall: 0.897, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8977, kappa: 0.877, kb_relative_information_score: 327.9994, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8946, predictive_accuracy: 0.9069, prior_entropy: 2.4427, recall: 0.9069, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8817, kappa: 0.8627, kb_relative_information_score: 326.4019, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.88, predictive_accuracy: 0.897, prior_entropy: 2.4427, recall: 0.897, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8935, kappa: 0.869, kb_relative_information_score: 329.7511, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.89, predictive_accuracy: 0.901, prior_entropy: 2.4427, recall: 0.901, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.889, kappa: 0.8687, kb_relative_information_score: 336.2766, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8827, predictive_accuracy: 0.901, prior_entropy: 2.4427, recall: 0.901, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.886, kappa: 0.8634, kb_relative_information_score: 328.381, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8855, predictive_accuracy: 0.897, prior_entropy: 2.4427, recall: 0.897, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8737, kappa: 0.8503, kb_relative_information_score: 325.5065, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8675, predictive_accuracy: 0.8871, prior_entropy: 2.4427, recall: 0.8871, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8932, kappa: 0.8714, kb_relative_information_score: 331.3751, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8882, predictive_accuracy: 0.903, prior_entropy: 2.4427, recall: 0.903, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8787, kappa: 0.8588, kb_relative_information_score: 320.5612, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.873, predictive_accuracy: 0.8931, prior_entropy: 2.4427, recall: 0.8931, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8521, kappa: 0.8169, kb_relative_information_score: 312.5668, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2188, number_of_instances: 505, precision: 0.8534, predictive_accuracy: 0.8614, prior_entropy: 2.4427, recall: 0.8614, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5877,

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    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)

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