Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 11 Supervised Classification kr-vs-kp 132 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.056, f_measure: 0.0543, kappa: -0.8782, kb_relative_information_score: -0.8985, mean_absolute_error: 0.945, mean_prior_absolute_error: 0.4984, weighted_recall: 0.055, number_of_instances: 1054, precision: 0.0543, predictive_accuracy: 0.055, prior_entropy: 0.9969, relative_absolute_error: 1.8959, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.9721, root_relative_squared_error: 1.9484, unweighted_recall: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.056, f_measure: 0.0543, kappa: -0.8782, kb_relative_information_score: -0.8985, mean_absolute_error: 0.945, mean_prior_absolute_error: 0.4984, weighted_recall: 0.055, number_of_instances: 1054, precision: 0.0543, predictive_accuracy: 0.055, prior_entropy: 0.9969, relative_absolute_error: 1.8959, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.9721, root_relative_squared_error: 1.9484, unweighted_recall: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.056, f_measure: 0.0543, kappa: -0.8782, kb_relative_information_score: -0.8985, mean_absolute_error: 0.945, mean_prior_absolute_error: 0.4984, weighted_recall: 0.055, number_of_instances: 1054, precision: 0.0543, predictive_accuracy: 0.055, prior_entropy: 0.9969, relative_absolute_error: 1.8959, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.9721, root_relative_squared_error: 1.9484, unweighted_recall: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0456, f_measure: 0.0457, kappa: -0.9001, kb_relative_information_score: -0.9175, mean_absolute_error: 0.9545, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0455, number_of_instances: 1054, precision: 0.0462, predictive_accuracy: 0.0455, prior_entropy: 0.9969, relative_absolute_error: 1.9149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.977, root_relative_squared_error: 1.9581, unweighted_recall: 0.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0327, f_measure: 0.0976, kappa: -0.8019, kb_relative_information_score: -0.4894, mean_absolute_error: 0.7141, mean_prior_absolute_error: 0.4984, weighted_recall: 0.0968, number_of_instances: 1054, precision: 0.099, predictive_accuracy: 0.0968, prior_entropy: 0.9969, relative_absolute_error: 1.4327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4644, unweighted_recall: 0.096,

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