Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 4379 Supervised Classification mushroom 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 972.587, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78150.3743, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1148, scimark_benchmark: 934.3687, usercpu_time_millis: 6260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 916.0735, usercpu_time_millis: 6580, usercpu_time_millis_testing: 1830, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 90, 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: 81178.9535, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0098, root_relative_squared_error: 0.0196, scimark_benchmark: 941.6675, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 80992.8259, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0181, root_relative_squared_error: 0.0363, scimark_benchmark: 904.0772, usercpu_time_millis: 1263490, usercpu_time_millis_testing: 68860, usercpu_time_millis_training: 1194630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81223.1251, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 941.3847, usercpu_time_millis: 6430, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 936.3373, usercpu_time_millis: 5940, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 943.1009, usercpu_time_millis: 490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81239.9627, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78594.9003, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1054, scimark_benchmark: 908.9569, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 78150.3743, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1148, scimark_benchmark: 938.1282, usercpu_time_millis: 6580, usercpu_time_millis_training: 6580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 80919.3658, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 934.7923, usercpu_time_millis: 7020, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 5240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9622, kappa: 0.9243, kb_relative_information_score: 75101.8245, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9639, predictive_accuracy: 0.9623, prior_entropy: 0.9991, recall: 0.9623, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3287, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 930.404, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81178.9535, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0098, root_relative_squared_error: 0.0196, scimark_benchmark: 903.2737, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 944.0133, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81223.1251, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 936.3213, usercpu_time_millis: 4200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81195.142, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, 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: 0.0035, root_relative_squared_error: 0.0069, scimark_benchmark: 938.988, usercpu_time_millis: 470, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81230, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0046, scimark_benchmark: 933.3455, usercpu_time_millis: 109490, usercpu_time_millis_testing: 38150, usercpu_time_millis_training: 71340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 81229.6694, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0047, scimark_benchmark: 862.7006, usercpu_time_millis: 54960, usercpu_time_millis_testing: 16430, usercpu_time_millis_training: 38530,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.8923, kb_relative_information_score: 72600.1164, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9478, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3516, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.8923, kb_relative_information_score: 72600.1164, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9478, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3516, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.8923, kb_relative_information_score: 72600.1164, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9478, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3516, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.8923, kb_relative_information_score: 72600.1164, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9478, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3516, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9462, kappa: 0.8923, kb_relative_information_score: 72600.1164, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9478, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3516, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 76097.4634, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.9991, recall: 0.9912, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1899, scimark_benchmark: 941.9549, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.994, kb_relative_information_score: 80756.2396, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.9991, recall: 0.997, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.0984, scimark_benchmark: 938.3115, usercpu_time_millis: 1620, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1560,
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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: 81194.0551, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 81240, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0269, scimark_benchmark: 932.5646, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
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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