Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 3674 Supervised Classification mushroom 483 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9991, recall: 0.998, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.0888, scimark_benchmark: 1357.7543, usercpu_time_millis: 9490, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 7800,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8117.7231, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0101, root_relative_squared_error: 0.0203, scimark_benchmark: 1347.993, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9929, kappa: 0.9857, kb_relative_information_score: 7972.2731, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9991, recall: 0.9929, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1558, scimark_benchmark: 899.5042, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8116.6005, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0134, scimark_benchmark: 1386.5717, usercpu_time_millis: 17680, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 17640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8050.2118, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0214, root_relative_squared_error: 0.0428, scimark_benchmark: 1363.454, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 7909.4185, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9991, recall: 0.998, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1027, scimark_benchmark: 925.4974, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8117.7231, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0101, root_relative_squared_error: 0.0203, scimark_benchmark: 1331.6907, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9901, kappa: 0.9803, kb_relative_information_score: 7853.0211, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9903, predictive_accuracy: 0.9902, prior_entropy: 0.9991, recall: 0.9902, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.1958, scimark_benchmark: 869.6028, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8118.2634, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0102, root_relative_squared_error: 0.0204, scimark_benchmark: 1318.1432, usercpu_time_millis: 1080, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8074.772, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.0699, scimark_benchmark: 918.0213, usercpu_time_millis: 750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9958, kb_relative_information_score: 7972.7352, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9991, recall: 0.9979, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1195, scimark_benchmark: 935.5075, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9815, kappa: 0.963, kb_relative_information_score: 7669.0016, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 0.9991, recall: 0.9815, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2308, scimark_benchmark: 942.9518, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.962, kappa: 0.9239, kb_relative_information_score: 7249.3776, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 0.9991, recall: 0.962, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3213, scimark_benchmark: 1336.3256, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.8301, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 916.6405, usercpu_time_millis: 20520, usercpu_time_millis_testing: 20520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.8282, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 942.9518, usercpu_time_millis: 17540, usercpu_time_millis_testing: 17530, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 869.6028, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1325.2092, usercpu_time_millis: 3620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9988, kappa: 0.9975, kb_relative_information_score: 8103.959, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.9991, recall: 0.9988, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0702, scimark_benchmark: 1333.5799, usercpu_time_millis: 26300, usercpu_time_millis_testing: 4110, usercpu_time_millis_training: 22190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1250.8301, usercpu_time_millis: 2080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9995, kb_relative_information_score: 8105.8872, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.027, scimark_benchmark: 1335.643, usercpu_time_millis: 16100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 16050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 942.9518, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 8099.562, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0178, root_relative_squared_error: 0.0357, scimark_benchmark: 942.9518, usercpu_time_millis: 1264170, usercpu_time_millis_testing: 67760, usercpu_time_millis_training: 1196410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 8091.9366, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9991, recall: 0.998, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.0888, scimark_benchmark: 1306.6379, usercpu_time_millis: 6300, usercpu_time_millis_testing: 1790, usercpu_time_millis_training: 4510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8122.426, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0021, root_relative_squared_error: 0.0042, scimark_benchmark: 1304.6687, usercpu_time_millis: 5230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8119.3105, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0034, root_relative_squared_error: 0.0067, scimark_benchmark: 1315.0767, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

How to submit runs

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

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