Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125918 Supervised Classification Australian 31 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 435.9714, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8366, kappa: 0.6705, kb_relative_information_score: 376.3606, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8383, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8511, kappa: 0.7025, kb_relative_information_score: 397.9392, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8468, kappa: 0.6916, kb_relative_information_score: 404.4441, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8496, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7671, kappa: 0.5275, kb_relative_information_score: 304.1394, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7747, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8292, kappa: 0.6547, kb_relative_information_score: 387.9954, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8296, predictive_accuracy: 0.829, prior_entropy: 0.9913, recall: 0.829, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 502.2076, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8117, kappa: 0.6188, kb_relative_information_score: 382.5839, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8117, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7081, kappa: 0.4185, kb_relative_information_score: 174.7291, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7502, predictive_accuracy: 0.7246, prior_entropy: 0.9913, recall: 0.7246, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8298, kappa: 0.6545, kb_relative_information_score: 393.3879, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8355, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 484.7519, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8496, kappa: 0.6964, kb_relative_information_score: 430.6485, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7052, kappa: 0.4161, kb_relative_information_score: 300.7475, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7583, predictive_accuracy: 0.7246, prior_entropy: 0.9913, recall: 0.7246, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.6931, kappa: 0.3936, kb_relative_information_score: 280.9285, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7488, predictive_accuracy: 0.7145, prior_entropy: 0.9913, recall: 0.7145, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.864, kappa: 0.7256, kb_relative_information_score: 452.1872, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8563, kappa: 0.7083, kb_relative_information_score: 325.8058, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.862, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8479, kappa: 0.6924, kb_relative_information_score: 427.7883, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8481, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8261, kappa: 0.6479, kb_relative_information_score: 403.1358, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8453, kappa: 0.6878, kb_relative_information_score: 418.1108, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8466, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 441.5676, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.7573, kappa: 0.5117, kb_relative_information_score: 371.5831, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.785, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6861, kappa: 0.3626, kb_relative_information_score: 191.6485, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6886, predictive_accuracy: 0.6899, prior_entropy: 0.9913, recall: 0.6899, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8352, kappa: 0.6677, kb_relative_information_score: 406.5977, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.837, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8741, kappa: 0.7455, kb_relative_information_score: 427.8675, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8745, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8633, kappa: 0.7226, kb_relative_information_score: 474.2542, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 441.5676, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7168, kappa: 0.4347, kb_relative_information_score: 309.5119, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7561, predictive_accuracy: 0.7319, prior_entropy: 0.9913, recall: 0.7319, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9682,

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    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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