Task
Supervised Classification on volcanoes-e2

Supervised Classification on volcanoes-e2

Task 145908 Supervised Classification volcanoes-e2 31 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.8687, kappa: 0.0152, kb_relative_information_score: 10.1056, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8315, predictive_accuracy: 0.9093, prior_entropy: 0.6024, recall: 0.9093, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.8687, kb_relative_information_score: -1430.3882, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 1.4996, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1834, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.8687, kb_relative_information_score: -0.055, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.8707, kappa: 0.0443, kb_relative_information_score: 3.0574, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8422, predictive_accuracy: 0.9074, prior_entropy: 0.6024, recall: 0.9074, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1842, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.8687, kb_relative_information_score: -9.1624, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1828, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.8766, kappa: 0.143, kb_relative_information_score: -613.6113, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8551, predictive_accuracy: 0.9037, prior_entropy: 0.6024, recall: 0.9037, relative_absolute_error: 1.3104, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1913, root_relative_squared_error: 1.0469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.8784, kappa: 0.2252, kb_relative_information_score: 112.7293, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8703, predictive_accuracy: 0.8889, prior_entropy: 0.6024, recall: 0.8889, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.202, root_relative_squared_error: 1.1053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.8834, kappa: 0.1704, kb_relative_information_score: -1.7368, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8689, predictive_accuracy: 0.9148, prior_entropy: 0.6024, recall: 0.9148, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8687, kb_relative_information_score: -37.4358, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.874, kappa: 0.1475, kb_relative_information_score: -1262.5749, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.852, predictive_accuracy: 0.8981, prior_entropy: 0.6024, recall: 0.8981, relative_absolute_error: 1.44, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1898, root_relative_squared_error: 1.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.8687, kb_relative_information_score: -4001.674, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 3.6267, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.3244, root_relative_squared_error: 1.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.8762, kappa: 0.1457, kb_relative_information_score: -76.3795, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.9019, prior_entropy: 0.6024, recall: 0.9019, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8727, kappa: 0.1431, kb_relative_information_score: -49.5507, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8509, predictive_accuracy: 0.8963, prior_entropy: 0.6024, recall: 0.8963, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.9649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.8687, kb_relative_information_score: -9.1624, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1828, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.8708, kappa: 0.1199, kb_relative_information_score: 3.9076, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8459, predictive_accuracy: 0.8981, prior_entropy: 0.6024, recall: 0.8981, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.8687, kb_relative_information_score: -27.6092, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.8687, kb_relative_information_score: -9.1624, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1828, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.8766, kappa: 0.143, kb_relative_information_score: -146.6146, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8551, predictive_accuracy: 0.9037, prior_entropy: 0.6024, recall: 0.9037, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.8687, kb_relative_information_score: 8.2894, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1828, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.8733, kappa: 0.0791, kb_relative_information_score: -297.6134, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8451, predictive_accuracy: 0.9083, prior_entropy: 0.6024, recall: 0.9083, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1855, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.8687, kb_relative_information_score: -1620.9684, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 1.581, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1868, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.8732, kappa: 0.1349, kb_relative_information_score: -5.4517, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8526, predictive_accuracy: 0.8991, prior_entropy: 0.6024, recall: 0.8991, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1874, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.874, kappa: 0.1475, kb_relative_information_score: -24.1584, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.852, predictive_accuracy: 0.8981, prior_entropy: 0.6024, recall: 0.8981, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8757, kappa: 0.1662, kb_relative_information_score: -14.8582, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8543, predictive_accuracy: 0.8991, prior_entropy: 0.6024, recall: 0.8991, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.8687, kb_relative_information_score: -4005.28, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 3.6259, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.3263, root_relative_squared_error: 1.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.874, kappa: 0.1475, kb_relative_information_score: -24.164, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.852, predictive_accuracy: 0.8981, prior_entropy: 0.6024, recall: 0.8981, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.882, kappa: 0.204, kb_relative_information_score: -69.2141, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8675, predictive_accuracy: 0.9046, prior_entropy: 0.6024, recall: 0.9046, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8687, kb_relative_information_score: -4006.9399, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 3.6264, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.3263, root_relative_squared_error: 1.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.8687, kb_relative_information_score: -3996.9805, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 3.6231, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.326, root_relative_squared_error: 1.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.8732, kappa: 0.1349, kb_relative_information_score: -5.4517, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8526, predictive_accuracy: 0.8991, prior_entropy: 0.6024, recall: 0.8991, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1874, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8687, kb_relative_information_score: -160.3186, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.9581,

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    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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