OpenML

Supervised Classification on AccelerometerData

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 6

Supervised Classification on BNG(mfeat-karhunen)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 6

Supervised Classification on BNG(mfeat-zernike)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 6

Supervised Classification on BNG(sonar)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 6

Supervised Regression on pyrim

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : activity - reuse : 6

Supervised Classification on witmer_census_1980

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : binaryClass - reuse : 6

Supervised Classification on ldpa

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 6

Supervised Classification on Test_vectors_1500_repaired

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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : confusion_matrix, predictive_accuracy, recall - target_feature : trans - reuse : 6

Supervised Regression on auto_price

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : price - reuse : 5

Supervised Classification on blood-transfusion-service-center

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : Class - reuse : 2

Supervised Classification on vehicle

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : Class

Supervised Classification on BNG(spambase)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 5

Supervised Classification on BNG(mfeat-zernike,nominal,1000000)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 5

Supervised Classification on BNG(page-blocks,nominal,295245)

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 5

Supervised Regression on boston

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : MEDV - reuse : 5

Supervised Regression on ERA

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : out1 - reuse : 5

Supervised Regression on libras_move

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 5

Supervised Regression on cristalli

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : oz1143 - reuse : 5

Supervised Regression on topo_2_1

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : oz267 - reuse : 5

Supervised Regression on wisconsin

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : time - reuse : 5

Supervised Regression on triazines

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : activity - reuse : 5

Supervised Data Stream Classification on mnist_784

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uploader_id : 1 - estimation_procedure : Interleaved Test then Train - target_feature : class

Supervised Classification on Test_vectors_1500_repaired

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estimation_procedure : 5 times 2-fold Crossvalidation - target_feature : trans - reuse : 5

Supervised Classification on Test_vectors_trans_posneg2

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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : confusion_matrix, recall, f_measure - target_feature : hate - reuse : 5

Supervised Classification on data-v3.en-es-lit.clean.anno_without_14top.uniform.arff

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Annotation - reuse : 5

Supervised Regression on liver-disorders

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estimation_procedure : 33% Holdout set - evaluation_measures : root_mean_squared_error - target_feature : drinks - reuse : 4

Supervised Regression on stock

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : company10 - reuse : 5

Supervised Regression on cloud

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : TE - reuse : 5

Supervised Regression on cpu_small

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : usr - reuse : 5

Supervised Classification on kits-subset

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uploader_id : 9186 - estimation_procedure : 10-fold Crossvalidation - target_feature : label

Supervised Classification on iris_reproduced

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uploader_id : 30495 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class

Supervised Regression on diamonds

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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : root_mean_squared_error - target_feature : price

Supervised Classification on cnae-9

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : Class

Supervised Classification on dilbert

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on Australian

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : A15

Supervised Classification on covertype

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 5

Supervised Classification on IndoorScenes

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uploader_id : 38960 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class_name

Supervised Classification on BNG(sonar,nominal,1000000)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : Class - reuse : 4

Supervised Classification on BNG(mfeat-fourier,nominal,1000000)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 4

Supervised Classification on BNG(page-blocks,nominal,295245)

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uploader_id : 1 - estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 4

Supervised Regression on space_ga

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : ln(VOTES/POP) - reuse : 4

Supervised Classification on BNG(mfeat-fourier)

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 4

Supervised Regression on elusage

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : average_electricity_usage - reuse : 4

Supervised Classification on UNIX_user_data

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uploader_id : 1 - estimation_procedure : 10 times 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : user - reuse : 3

Learning Curve on KDDCup09_appetency

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uploader_id : 1 - estimation_procedure : 10-fold Learning Curve - number_samples : 20 - target_feature : APPETENCY

Supervised Classification on InterferenceSeperation

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : confusion_matrix - target_feature : Status - reuse : 4

Supervised Classification on covertype

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 4

Supervised Classification on ex1-features-holiday-person-en-201610

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : label - reuse : 4

Supervised Classification on ex1-features-holiday-person-es-201610

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : label - reuse : 4

Supervised Classification on qType_2prev

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - target_feature : class - reuse : 3

Supervised Regression on auto_price

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estimation_procedure : 33% Holdout set - evaluation_measures : root_mean_squared_error - target_feature : price - reuse : 4

Supervised Classification on art_daily_nojump4

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uploader_id : 26700 - estimation_procedure : 10-fold Crossvalidation - target_feature : Class

Supervised Regression on NASA_PHM2008_1

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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 4

Supervised Regression on NASA_PHM2008

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estimation_procedure : 5 times 2-fold Crossvalidation - evaluation_measures : Mean absolute error - target_feature : class - reuse : 4

Supervised Regression on fruitfly

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 4

Supervised Regression on lowbwt

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : mean_absolute_error - target_feature : class - reuse : 4

Supervised Classification on christine

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estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : class - reuse : 3

Supervised Classification on pokerhand

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uploader_id : 1 - estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class - reuse : 4

Supervised Classification on Iris

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uploader_id : 30495 - estimation_procedure : 10-fold Crossvalidation - target_feature : class

Supervised Classification on robert

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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class

Supervised Classification on riccardo

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estimation_procedure : 33% Holdout set - evaluation_measures : predictive_accuracy - target_feature : class

Supervised Classification on segment

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on mfeat-factors

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on jasmine

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on phoneme

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : Class

Supervised Classification on sylvine

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on fabert

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on christine

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class

Supervised Classification on Fashion-MNIST

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uploader_id : 86 - estimation_procedure : 33% Holdout set - target_feature : class - reuse : 2

Supervised Classification on numerai28.6

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uploader_id : 1 - estimation_procedure : 33% Holdout set - target_feature : attribute_21 - reuse : 2

Supervised Classification on creditcard

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uploader_id : 1 - estimation_procedure : 10-fold Crossvalidation - evaluation_measures : area_under_roc_curve - target_feature : Class - reuse : 2

Supervised Classification on airlines

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estimation_procedure : 10-fold Crossvalidation - target_feature : Delay - reuse : 4

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4980