OpenML
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 1788 Supervised Classification mushroom 327 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 1322.7257, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 1347.993, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, 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: 40611.0897, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, 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: 0.003, root_relative_squared_error: 0.006, scimark_benchmark: 1322.7257, usercpu_time_millis: 5190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40545.4257, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0161, scimark_benchmark: 1326.8946, usercpu_time_millis: 580, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 38992.3884, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1193, scimark_benchmark: 1371.9645, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9984, kb_relative_information_score: 40410.1093, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.9991, recall: 0.9992, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0497, scimark_benchmark: 1320.9387, usercpu_time_millis: 555010, usercpu_time_millis_testing: 62010, usercpu_time_millis_training: 493000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9554, kappa: 0.9106, kb_relative_information_score: 37081.1745, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9579, predictive_accuracy: 0.9555, prior_entropy: 0.9991, recall: 0.9555, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3615, scimark_benchmark: 918.0213, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9554, kappa: 0.9106, kb_relative_information_score: 37081.1745, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9579, predictive_accuracy: 0.9555, prior_entropy: 0.9991, recall: 0.9555, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3615, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 39491.5354, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9991, recall: 0.9978, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1065, scimark_benchmark: 1335.4072, 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: 0.9996, kappa: 0.9992, kb_relative_information_score: 40513.8022, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0416, scimark_benchmark: 882.7843, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9897, kappa: 0.9794, kb_relative_information_score: 39200.4364, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9899, predictive_accuracy: 0.9897, prior_entropy: 0.9991, recall: 0.9897, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2, scimark_benchmark: 1310.3951, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9996, kb_relative_information_score: 40589.6778, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0148, root_relative_squared_error: 0.0296, scimark_benchmark: 1325.2092, usercpu_time_millis: 1210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9981, kb_relative_information_score: 40464.0739, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.9991, recall: 0.9991, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.0577, scimark_benchmark: 942.6843, usercpu_time_millis: 760, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.9933, kb_relative_information_score: 40021.0907, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9991, recall: 0.9967, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1065, scimark_benchmark: 935.5075, usercpu_time_millis: 390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9837, kappa: 0.9673, kb_relative_information_score: 38620.023, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9838, predictive_accuracy: 0.9837, prior_entropy: 0.9991, recall: 0.9837, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.21, scimark_benchmark: 939.5088, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9711, kappa: 0.9422, kb_relative_information_score: 36855.4288, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9991, recall: 0.9711, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.289, scimark_benchmark: 1313.9994, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 40569.6424, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0181, root_relative_squared_error: 0.0362, scimark_benchmark: 924.3698, usercpu_time_millis: 11780, usercpu_time_millis_testing: 11780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40616.3523, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0027, scimark_benchmark: 1363.454, usercpu_time_millis: 11800, usercpu_time_millis_testing: 11800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9979, kappa: 0.9958, kb_relative_information_score: 40449.6642, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9991, recall: 0.9979, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.0915, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 40577.903, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0455, scimark_benchmark: 1363.454, usercpu_time_millis: 3380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9978, kappa: 0.9957, kb_relative_information_score: 40443.653, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9991, recall: 0.9978, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.0932, scimark_benchmark: 938.343, usercpu_time_millis: 49370, usercpu_time_millis_testing: 5780, usercpu_time_millis_training: 43590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40619.9813, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1321.527, usercpu_time_millis: 2230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 40351.2735, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0525, scimark_benchmark: 1304.9611, usercpu_time_millis: 9170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40619.9813, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1386.5717, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.995, kappa: 0.9899, kb_relative_information_score: 40211.2203, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9991, recall: 0.995, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.1418, scimark_benchmark: 1325.2092, usercpu_time_millis: 5490, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 3690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 1304.9611, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, 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: 40611.0897, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, 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: 0.003, root_relative_squared_error: 0.006, scimark_benchmark: 1355.9413, usercpu_time_millis: 5420, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9992, kappa: 0.9984, kb_relative_information_score: 40559.8614, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.9991, recall: 0.9992, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0501, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 40558.6475, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.021, root_relative_squared_error: 0.042, scimark_benchmark: 1319.9043, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9989, kappa: 0.9978, kb_relative_information_score: 40491.5875, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.9991, recall: 0.9989, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0658, scimark_benchmark: 1309.3173, usercpu_time_millis: 2280, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9998, kappa: 0.9997, kb_relative_information_score: 40605.9552, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.9991, recall: 0.9998, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0131, root_relative_squared_error: 0.0263, scimark_benchmark: 1315.395, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8259, kappa: 0.6521, kb_relative_information_score: 26447.593, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.8275, predictive_accuracy: 0.8259, prior_entropy: 0.9991, recall: 0.8259, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8351, scimark_benchmark: 1384.4418, 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: 40619.9813, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1466.6185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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