Task
Supervised Classification on adult

Supervised Classification on adult

Task 2071 Supervised Classification adult 992 runs submitted
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  • at2 mythbusting_1 study_1 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.8363, kappa: 0.5357, kb_relative_information_score: 25070.3601, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8351, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.8365, kappa: 0.5333, kb_relative_information_score: 25358.2815, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8366, predictive_accuracy: 0.8447, prior_entropy: 0.7939, recall: 0.8447, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.8059, kappa: 0.4293, kb_relative_information_score: 23157.0759, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8273, predictive_accuracy: 0.8301, prior_entropy: 0.7939, recall: 0.8301, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8365, kappa: 0.5339, kb_relative_information_score: 17540.7742, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8363, predictive_accuracy: 0.8443, prior_entropy: 0.7939, recall: 0.8443, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8071, kappa: 0.4337, kb_relative_information_score: 16758.9242, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8248, predictive_accuracy: 0.8298, prior_entropy: 0.7939, recall: 0.8298, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8338, kappa: 0.5243, kb_relative_information_score: 18875.0143, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8344, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8359, kappa: 0.5316, kb_relative_information_score: 17270.6886, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.836, predictive_accuracy: 0.8441, prior_entropy: 0.7939, recall: 0.8441, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8377, kappa: 0.5398, kb_relative_information_score: 17875.3042, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8365, predictive_accuracy: 0.844, prior_entropy: 0.7939, recall: 0.844, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8347, kappa: 0.5285, kb_relative_information_score: 18027.8096, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8345, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8362, kappa: 0.5335, kb_relative_information_score: 18146.8422, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8358, predictive_accuracy: 0.8438, prior_entropy: 0.7939, recall: 0.8438, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.7726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8366, kappa: 0.5353, kb_relative_information_score: 18249.4298, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.836, predictive_accuracy: 0.8439, prior_entropy: 0.7939, recall: 0.8439, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8361, kappa: 0.533, kb_relative_information_score: 18163.6741, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8357, predictive_accuracy: 0.8437, prior_entropy: 0.7939, recall: 0.8437, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8364, kappa: 0.5341, kb_relative_information_score: 18201.0027, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8358, predictive_accuracy: 0.8438, prior_entropy: 0.7939, recall: 0.8438, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8366, kappa: 0.5353, kb_relative_information_score: 18249.4684, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.836, predictive_accuracy: 0.8439, prior_entropy: 0.7939, recall: 0.8439, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8493, kappa: 0.5726, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8488, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.7644, kappa: 0.3016, kb_relative_information_score: 19804.1847, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8148, predictive_accuracy: 0.808, prior_entropy: 0.7939, recall: 0.808, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.0271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.8363, kappa: 0.5358, kb_relative_information_score: 25073.4561, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8351, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.8365, kappa: 0.5364, kb_relative_information_score: 25076.552, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8352, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.8357, kappa: 0.5329, kb_relative_information_score: 25076.552, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8349, predictive_accuracy: 0.8428, prior_entropy: 0.7939, recall: 0.8428, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.8358, kappa: 0.5259, kb_relative_information_score: 25788.6157, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8405, predictive_accuracy: 0.8475, prior_entropy: 0.7939, recall: 0.8475, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.8349, kappa: 0.5304, kb_relative_information_score: 24980.5782, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8341, predictive_accuracy: 0.8422, prior_entropy: 0.7939, recall: 0.8422, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.835, kappa: 0.5299, kb_relative_information_score: 25051.7846, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8345, predictive_accuracy: 0.8427, prior_entropy: 0.7939, recall: 0.8427, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8353, kappa: 0.5299, kb_relative_information_score: 17359.1899, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8352, predictive_accuracy: 0.8435, prior_entropy: 0.7939, recall: 0.8435, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8346, kappa: 0.5276, kb_relative_information_score: 16461.6397, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8348, predictive_accuracy: 0.8431, prior_entropy: 0.7939, recall: 0.8431, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8344, kappa: 0.5273, kb_relative_information_score: 16277.2298, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8342, predictive_accuracy: 0.8425, prior_entropy: 0.7939, recall: 0.8425, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8358, kappa: 0.5317, kb_relative_information_score: 17473.7682, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8356, predictive_accuracy: 0.8438, prior_entropy: 0.7939, recall: 0.8438, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8351, kappa: 0.5291, kb_relative_information_score: 16530.7594, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8352, predictive_accuracy: 0.8434, prior_entropy: 0.7939, recall: 0.8434, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8264, kappa: 0.4999, kb_relative_information_score: 23971.8894, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8288, predictive_accuracy: 0.838, prior_entropy: 0.7939, recall: 0.838, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.869,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6573, kb_relative_information_score: 12658.7802, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.5787, predictive_accuracy: 0.7607, prior_entropy: 0.7939, recall: 0.7607, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.1465, scimark_benchmark: 1650.1517, usercpu_time_millis: 432530, usercpu_time_millis_testing: 201670, usercpu_time_millis_training: 230860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.8492, kappa: 0.5724, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919, scimark_benchmark: 1387.2894, usercpu_time_millis: 1773450, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1773330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.8492, kappa: 0.5724, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919, scimark_benchmark: 1380.8212, usercpu_time_millis: 1764230, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1764110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.8492, kappa: 0.5724, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919, scimark_benchmark: 1582.3057, usercpu_time_millis: 1717490, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1717380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.8492, kappa: 0.5724, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919, scimark_benchmark: 1378.0241, usercpu_time_millis: 1809790, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1809650,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.8492, kappa: 0.5724, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919, scimark_benchmark: 1381.4112, usercpu_time_millis: 1765200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1765080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.8492, kappa: 0.5724, kb_relative_information_score: 26946.4932, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8487, predictive_accuracy: 0.8552, prior_entropy: 0.7939, recall: 0.8552, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8919, scimark_benchmark: 1380.3758, usercpu_time_millis: 1785170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1785040,
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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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs