Task
Supervised Classification on fertility

Supervised Classification on fertility

Task 9984 Supervised Classification fertility 419 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -23.2701, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: 1.5647, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.8238, kb_relative_information_score: -23.6753, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4801, f_measure: 0.8086, kappa: -0.0504, kb_relative_information_score: -28.7313, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7711, predictive_accuracy: 0.85, prior_entropy: 0.5504, recall: 0.85, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3517, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -2.5887, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.8138, kappa: -0.0355, kb_relative_information_score: -2.5887, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3545, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.8238, kb_relative_information_score: -20.878, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3456, root_relative_squared_error: 1.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.8035, kappa: -0.0638, kb_relative_information_score: -32.3914, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.77, predictive_accuracy: 0.84, prior_entropy: 0.5504, recall: 0.84, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3509, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8238, kb_relative_information_score: 27.1592, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: -22.1133, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.816, kappa: 0.0338, kb_relative_information_score: -21.5864, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.797, predictive_accuracy: 0.84, prior_entropy: 0.5504, recall: 0.84, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3601, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: 1.5859, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: 1.5859, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.8238, kb_relative_information_score: 8.8275, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.8238, kb_relative_information_score: 8.8275, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.8238, kb_relative_information_score: 8.8275, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3256, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.8238, kb_relative_information_score: -8.6558, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.9958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: 1.5859, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.8128, kappa: 0.0816, kb_relative_information_score: -134.8481, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8062, predictive_accuracy: 0.82, prior_entropy: 0.5504, recall: 0.82, relative_absolute_error: 1.5116, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.1669,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.8238, kb_relative_information_score: 1.5859, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3255, root_relative_squared_error: 1.0015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.7983, kappa: -0.0759, kb_relative_information_score: -26.1632, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7688, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0901, scimark_benchmark: 1254.1389,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.8547, kappa: 0.2494, kb_relative_information_score: -14.0905, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8463, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.7983, kappa: -0.0759, kb_relative_information_score: -26.1631, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7688, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0901,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.8693, kappa: 0.3363, kb_relative_information_score: 27.8335, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8635, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3301, root_relative_squared_error: 1.0154, scimark_benchmark: 478.5633, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.8128, kappa: 0.0816, kb_relative_information_score: -7.3827, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8062, predictive_accuracy: 0.82, prior_entropy: 0.5504, recall: 0.82, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.3052, usercpu_time_millis: 350.147, usercpu_time_millis_testing: 4.299, usercpu_time_millis_training: 345.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: -9.8973, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.0843, scimark_benchmark: 1231.8424, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.8268, kappa: 0.165, kb_relative_information_score: -3.5165, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8237, predictive_accuracy: 0.83, prior_entropy: 0.5504, recall: 0.83, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.255, scimark_benchmark: 1209.4392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.8238, kb_relative_information_score: 19.734, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7744, predictive_accuracy: 0.88, prior_entropy: 0.5504, recall: 0.88, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3355, root_relative_squared_error: 1.0323, scimark_benchmark: 1243.5473, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8547, kappa: 0.2494, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8463, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 10.428, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 8.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.8547, kappa: 0.2494, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8463, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 12.589, usercpu_time_millis_testing: 2.246, usercpu_time_millis_training: 10.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.8188, kappa: -0.0188, kb_relative_information_score: 21.4022, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.7733, predictive_accuracy: 0.87, prior_entropy: 0.5504, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3606, root_relative_squared_error: 1.1092, usercpu_time_millis: 0.518, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.498,

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