Task
Supervised Classification on higgs

Supervised Classification on higgs

Task 52950 Supervised Classification higgs 33 runs submitted
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Matthias Schartner 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7241, kappa: 0.4461, kb_relative_information_score: 0.2423, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4984, weighted_recall: 0.7243, number_of_instances: 98050, precision: 0.724, predictive_accuracy: 0.7243, prior_entropy: 0.9976, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8609, unweighted_recall: 0.7228,
Luís Miguel Matos 1 year ago
ran flow sklearn.pipeline.Pipeline(Prep ... GradientBoostingClassifier)(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7186, kappa: 0.4353, kb_relative_information_score: 0.2845, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, weighted_recall: 0.7187, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7187, prior_entropy: 0.9976, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571, unweighted_recall: 0.7175,
Hilde Weerts 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7112, kappa: 0.4201, kb_relative_information_score: 17889.4542, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7121, predictive_accuracy: 0.7122, prior_entropy: 0.9976, recall: 0.7122, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8879,
Hilde Weerts 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... est.RandomForestClassifier)(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7193, kappa: 0.4363, kb_relative_information_score: 21129.2715, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8719,
Giuseppe Casalicchio 7 years ago
ran flow mlr.classif.rpart(47) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6535, kappa: 0.3106, kb_relative_information_score: 29826.8914, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.1788, usercpu_time_millis: 15.55, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 15.36,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.636, kappa: 0.2715, kb_relative_information_score: 11599.9091, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6412, predictive_accuracy: 0.6405, prior_entropy: 0.9976, recall: 0.6405, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(4) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6257, kappa: 0.249, kb_relative_information_score: 24316.9584, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6257, predictive_accuracy: 0.6258, prior_entropy: 0.9976, recall: 0.6258, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2255,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(4) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.6259, kappa: 0.2494, kb_relative_information_score: 24345.0908, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6259, predictive_accuracy: 0.6259, prior_entropy: 0.9976, recall: 0.6259, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2253,
Jan van Rijn 7 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(4) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.627, kappa: 0.2514, kb_relative_information_score: 24554.0744, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6269, predictive_accuracy: 0.627, prior_entropy: 0.9976, recall: 0.627, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6108, root_relative_squared_error: 1.2235,
Hugues Fontenelle 8 years ago
ran flow xgboost.sklearn.XGBClassifier(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : XML document structures must start and end within the same entity.
Hugues Fontenelle 8 years ago
ran flow xgboost.sklearn.XGBClassifier(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : XML document structures must start and end within the same entity.
Hugues Fontenelle 8 years ago
ran flow xgboost.sklearn.XGBClassifier(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641889/4641889.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Hugues Fontenelle 8 years ago
ran flow xgboost.sklearn.XGBClassifier(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: https://www.openml.org/data/v1/download/4641885/4641885.arff?api_key=48830dd663e41d5cb689016a072e6ec1
Hugues Fontenelle 8 years ago
ran flow xgboost.sklearn.XGBClassifier(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: : The element type "oml:tag" must be terminated by the matching end-tag "".
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.PART.preproc.preproc(3) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6811, kappa: 0.3597, kb_relative_information_score: 24762.9663, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6811, predictive_accuracy: 0.6815, prior_entropy: 0.9976, recall: 0.6815, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9073, usercpu_time_millis: 3472.64, usercpu_time_millis_testing: 1.894, usercpu_time_millis_training: 3470.746,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.randomForest.preproc.preproc(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7232, kappa: 0.4443, kb_relative_information_score: 23747.2779, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7231, predictive_accuracy: 0.7233, prior_entropy: 0.9976, recall: 0.7233, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8614, usercpu_time_millis: 3107.134, usercpu_time_millis_testing: 22.669, usercpu_time_millis_training: 3084.465,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.mlp.preproc.preproc(3) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6846, kappa: 0.3666, kb_relative_information_score: 21257.7814, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6846, predictive_accuracy: 0.6851, prior_entropy: 0.9976, recall: 0.6851, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9069, usercpu_time_millis: 2129.445, usercpu_time_millis_testing: 157.953, usercpu_time_millis_training: 1971.492,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.kknn.preproc.preproc(9) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6141, kappa: 0.225, kb_relative_information_score: 17028.4278, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6144, predictive_accuracy: 0.6154, prior_entropy: 0.9976, recall: 0.6154, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0082, usercpu_time_millis: 850.467, usercpu_time_millis_testing: 797.029, usercpu_time_millis_training: 53.438,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.logreg.preproc.preproc(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6362, kappa: 0.272, kb_relative_information_score: 11621.2417, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6415, predictive_accuracy: 0.6408, prior_entropy: 0.9976, recall: 0.6408, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9476, usercpu_time_millis: 74.189, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 72.901,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(3) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5717, kappa: 0.1745, kb_relative_information_score: 14510.8817, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6123, predictive_accuracy: 0.5992, prior_entropy: 0.9976, recall: 0.5992, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0072, usercpu_time_millis: 143.001, usercpu_time_millis_testing: 86.923, usercpu_time_millis_training: 56.078,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.rpart.preproc.preproc(3) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3106, kb_relative_information_score: 12399.5906, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 67.718, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 67.089,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.mlp.preproc.preproc(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6846, kappa: 0.3666, kb_relative_information_score: 21257.7814, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6846, predictive_accuracy: 0.6851, prior_entropy: 0.9976, recall: 0.6851, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9069, usercpu_time_millis: 2257.833, usercpu_time_millis_testing: 190.463, usercpu_time_millis_training: 2067.37,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.kknn.preproc.preproc(8) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6141, kappa: 0.225, kb_relative_information_score: 17028.4278, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6144, predictive_accuracy: 0.6154, prior_entropy: 0.9976, recall: 0.6154, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0082, usercpu_time_millis: 406.335, usercpu_time_millis_testing: 355.487, usercpu_time_millis_training: 50.848,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.rpart.preproc.preproc(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3106, kb_relative_information_score: 12399.5906, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 75.758, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 75.157,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5717, kappa: 0.1745, kb_relative_information_score: 14510.8817, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6123, predictive_accuracy: 0.5992, prior_entropy: 0.9976, recall: 0.5992, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0072, usercpu_time_millis: 131.005, usercpu_time_millis_testing: 75.7, usercpu_time_millis_training: 55.305,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.PART.preproc.preproc(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in .jnew("weka/core/Attribute", attname[i], .jcast(levels, "java/util/List")) : java.lang.UnsupportedClassVersionError: weka/core/Attribute : Unsupported major.minor version 51.0 Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.0).
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.mlp.preproc.preproc(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6846, kappa: 0.3666, kb_relative_information_score: 21257.7814, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6846, predictive_accuracy: 0.6851, prior_entropy: 0.9976, recall: 0.6851, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9069, usercpu_time_millis: 26185.506, usercpu_time_millis_testing: 2383.786, usercpu_time_millis_training: 23801.72,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.kknn.preproc.preproc(7) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6141, kappa: 0.225, kb_relative_information_score: 17028.4278, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6144, predictive_accuracy: 0.6154, prior_entropy: 0.9976, recall: 0.6154, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0082, usercpu_time_millis: 532.02, usercpu_time_millis_testing: 471.252, usercpu_time_millis_training: 60.768,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.rpart.preproc.preproc(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6535, kappa: 0.3106, kb_relative_information_score: 12399.5906, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9477, usercpu_time_millis: 89.926, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 89.396,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5717, kappa: 0.1745, kb_relative_information_score: 14510.8817, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6123, predictive_accuracy: 0.5992, prior_entropy: 0.9976, recall: 0.5992, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0072, usercpu_time_millis: 154.672, usercpu_time_millis_testing: 83.376, usercpu_time_millis_training: 71.296,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(1) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.5717, kappa: 0.1745, kb_relative_information_score: 14510.8817, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6123, predictive_accuracy: 0.5992, prior_entropy: 0.9976, recall: 0.5992, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0072, usercpu_time_millis: 153.046, usercpu_time_millis_testing: 81.104, usercpu_time_millis_training: 71.942,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.rpart(6) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6535, kappa: 0.3106, kb_relative_information_score: 29826.8914, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6593, predictive_accuracy: 0.6537, prior_entropy: 0.9976, recall: 0.6537, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.1788, usercpu_time_millis: 23.085, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 22.833,
Rafael Gomes Mantovani 9 years ago
ran flow mlr.classif.naiveBayes(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5717, kappa: 0.1745, kb_relative_information_score: 19084.3305, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6123, predictive_accuracy: 0.5992, prior_entropy: 0.9976, recall: 0.5992, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6331, root_relative_squared_error: 1.2682, usercpu_time_millis: 90.524, usercpu_time_millis_testing: 79.426, usercpu_time_millis_training: 11.098,

    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

    estimation_procedure 10-fold Crossvalidation
    source_data higgs (2)
    target_feature class

    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

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