OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3094.9109, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1851.3986, total_cost: 672700, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1490.7705, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1849.447, total_cost: 672800, usercpu_time_millis: 0.514, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.8185, total_cost: 672800, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, total_cost: 672800, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, average_cost: 16.8301, f_measure: 0.7554, kappa: 0.0011, kb_relative_information_score: -3137.6049, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1846.2342, total_cost: 672330, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -338.6622, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9989, scimark_benchmark: 1853.9121, total_cost: 672800, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1855.5541, total_cost: 672800, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2583.6953, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.992, scimark_benchmark: 1849.7595, total_cost: 672800, usercpu_time_millis: 0.514, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, total_cost: 672800, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1854.3038, total_cost: 672800, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, total_cost: 672800, usercpu_time_millis: 0.484, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, total_cost: 672800, usercpu_time_millis: 0.46, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, total_cost: 672800, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1850.8185, total_cost: 672800, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, total_cost: 672800, usercpu_time_millis: 0.455, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, total_cost: 672800, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1753.5724, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9939, scimark_benchmark: 1850.2875, total_cost: 672800, usercpu_time_millis: 0.511, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, total_cost: 672800, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, total_cost: 672800, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1846.1643, total_cost: 672800, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, total_cost: 672800, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.401,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1848.3343, total_cost: 672800, usercpu_time_millis: 0.457, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1845.8884, total_cost: 672800, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9849, total_cost: 672800, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, total_cost: 672800, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2532.2569, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9917, scimark_benchmark: 1849.8294, total_cost: 672700, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, average_cost: 16.8394, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2948.2275, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9904, scimark_benchmark: 1849.8294, total_cost: 672700, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.557,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1842.2932, total_cost: 672800, usercpu_time_millis: 0.473, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2302.0386, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9928, scimark_benchmark: 1864.9656, total_cost: 672800, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1849.3014, total_cost: 672800, usercpu_time_millis: 0.401, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.354,

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

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From your own software

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

OpenML APIs