OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25333 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1366.9779, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1280.2425, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1366.4522, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1906.7029, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1176.1737, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1276.6804, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1326.6643, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1064.5826, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1229.639, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1343.5975, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1256.0978, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1257.5436, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1154.0051, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 944.0574, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1041.4978, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1115.6847, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1312.9364, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1100.352, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1317.4531, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1321.1436, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1956.1905, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1870.0624, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1309.0587, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1005.1438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1211.0409, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1770.5855, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1833.1445, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 945.3905, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1145.6017, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1379.5935, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 972.3019, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1288.7336, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1246.7953, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 993.5575, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 1565.2961, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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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