Task
Supervised Classification on Titanic

Supervised Classification on Titanic

Task 146230 Supervised Classification Titanic 35 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7635, kappa: 0.4456, kb_relative_information_score: -0.1262, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7653, predictive_accuracy: 0.7733, prior_entropy: 0.9077, recall: 0.7733, relative_absolute_error: 1.0575, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: -0.1307, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9077, recall: 0.776, relative_absolute_error: 1.0603, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7635, kappa: 0.4456, kb_relative_information_score: -0.1262, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7653, predictive_accuracy: 0.7733, prior_entropy: 0.9077, recall: 0.7733, relative_absolute_error: 1.0575, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: -0.1307, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9077, recall: 0.776, relative_absolute_error: 1.0603, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7496, kappa: 0.4099, kb_relative_information_score: 582.037, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8031, predictive_accuracy: 0.781, prior_entropy: 0.9078, recall: 0.781, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7593, kappa: 0.434, kb_relative_information_score: 572.7057, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7636, predictive_accuracy: 0.7715, prior_entropy: 0.9078, recall: 0.7715, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7666, kappa: 0.4496, kb_relative_information_score: 618.0466, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7778, predictive_accuracy: 0.7819, prior_entropy: 0.9078, recall: 0.7819, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7541, kappa: 0.4195, kb_relative_information_score: 563.0568, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7928, predictive_accuracy: 0.781, prior_entropy: 0.9078, recall: 0.781, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7604, kappa: 0.4371, kb_relative_information_score: 642.8985, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7639, predictive_accuracy: 0.7719, prior_entropy: 0.9078, recall: 0.7719, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7595, kappa: 0.4334, kb_relative_information_score: 685.7624, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8215, predictive_accuracy: 0.7906, prior_entropy: 0.9078, recall: 0.7906, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7565, kappa: 0.4256, kb_relative_information_score: 676.0612, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8058, predictive_accuracy: 0.7856, prior_entropy: 0.9078, recall: 0.7856, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7369, kappa: 0.3824, kb_relative_information_score: 564.0117, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8125, predictive_accuracy: 0.7756, prior_entropy: 0.9078, recall: 0.7756, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 425.3479, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7547, kappa: 0.431, kb_relative_information_score: 561.6538, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7528, predictive_accuracy: 0.7592, prior_entropy: 0.9078, recall: 0.7592, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 1009.3149, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.7576, kappa: 0.4285, kb_relative_information_score: 693.3548, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8111, predictive_accuracy: 0.7874, prior_entropy: 0.9078, recall: 0.7874, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 556.6397, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 556.6397, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.7624, kappa: 0.4387, kb_relative_information_score: 656.4339, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7915, predictive_accuracy: 0.7851, prior_entropy: 0.9078, recall: 0.7851, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 521.9523, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5466, kb_relative_information_score: -0.1284, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.4583, predictive_accuracy: 0.677, prior_entropy: 0.9078, recall: 0.677, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4676, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7595, kappa: 0.4334, kb_relative_information_score: 689.6529, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8215, predictive_accuracy: 0.7906, prior_entropy: 0.9078, recall: 0.7906, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 522.8575, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 522.8575, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 551.4428, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 1009.8172, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7502, kappa: 0.4252, kb_relative_information_score: 632.929, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7489, predictive_accuracy: 0.7519, prior_entropy: 0.9078, recall: 0.7519, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7595, kappa: 0.4334, kb_relative_information_score: 669.4642, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8215, predictive_accuracy: 0.7906, prior_entropy: 0.9078, recall: 0.7906, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7502, kappa: 0.4252, kb_relative_information_score: 632.929, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7489, predictive_accuracy: 0.7519, prior_entropy: 0.9078, recall: 0.7519, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7595, kappa: 0.4334, kb_relative_information_score: 689.1337, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8215, predictive_accuracy: 0.7906, prior_entropy: 0.9078, recall: 0.7906, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7504, kappa: 0.4252, kb_relative_information_score: 636.3447, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7489, predictive_accuracy: 0.7524, prior_entropy: 0.9078, recall: 0.7524, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.7649, kappa: 0.4463, kb_relative_information_score: 616.2279, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7728, predictive_accuracy: 0.7787, prior_entropy: 0.9078, recall: 0.7787, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 1009.8172, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7615, kappa: 0.4381, kb_relative_information_score: 1009.8172, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.7699, predictive_accuracy: 0.776, prior_entropy: 0.9078, recall: 0.776, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7595, kappa: 0.4334, kb_relative_information_score: 669.4642, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4374, number_of_instances: 2201, precision: 0.8215, predictive_accuracy: 0.7906, prior_entropy: 0.9078, recall: 0.7906, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8495,

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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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