DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

Message: mysqli::real_connect(): (HY000/2002): Connection refused

Filename: mysqli/mysqli_driver.php

Line Number: 203

Backtrace:

File: /var/www/openml/openml_OS/core/MY_Loader.php
Line: 258
Function: database

File: /var/www/openml/openml_OS/core/MY_Loader.php
Line: 165
Function: ci_autoloader

File: /var/www/openml/openml_OS/core/MY_Loader.php
Line: 78
Function: initialize

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 6
Function: __construct

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: mysqli::real_connect(): (HY000/2002): Connection refused

Filename: mysqli/mysqli_driver.php

Line Number: 203

Backtrace:

File: /var/www/openml/openml_OS/models/Database_singleton.php
Line: 7
Function: database

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 11
Function: model

File: /var/www/openml/openml_OS/core/MY_Database_Write_Model.php
Line: 6
Function: __construct

File: /var/www/openml/openml_OS/core/MY_Community_Model.php
Line: 8
Function: __construct

File: /var/www/openml/openml_OS/models/File.php
Line: 6
Function: __construct

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 8
Function: model

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: mysqli::real_connect(): (HY000/2002): Connection refused

Filename: mysqli/mysqli_driver.php

Line Number: 203

Backtrace:

File: /var/www/openml/openml_OS/models/Database_singleton.php
Line: 8
Function: database

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 11
Function: model

File: /var/www/openml/openml_OS/core/MY_Database_Write_Model.php
Line: 6
Function: __construct

File: /var/www/openml/openml_OS/core/MY_Community_Model.php
Line: 8
Function: __construct

File: /var/www/openml/openml_OS/models/File.php
Line: 6
Function: __construct

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 8
Function: model

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: mysqli::real_connect(): (HY000/2002): Connection refused

Filename: mysqli/mysqli_driver.php

Line Number: 203

Backtrace:

File: /var/www/openml/openml_OS/models/Database_singleton.php
Line: 9
Function: database

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 11
Function: model

File: /var/www/openml/openml_OS/core/MY_Database_Write_Model.php
Line: 6
Function: __construct

File: /var/www/openml/openml_OS/core/MY_Community_Model.php
Line: 8
Function: __construct

File: /var/www/openml/openml_OS/models/File.php
Line: 6
Function: __construct

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 8
Function: model

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 282

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_set_cookie_params(): Cannot change session cookie parameters when headers already sent

Filename: Session/Session.php

Line Number: 294

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 304

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 314

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 315

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 316

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 317

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: Session/Session.php

Line Number: 375

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: ini_set(): Headers already sent. You cannot change the session module's ini settings at this time

Filename: drivers/Session_files_driver.php

Line Number: 108

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_set_save_handler(): Cannot change save handler when headers already sent

Filename: Session/Session.php

Line Number: 110

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Cannot start session when headers already sent

Filename: Session/Session.php

Line Number: 143

Backtrace:

File: /var/www/openml/openml_OS/libraries/Ion_auth.php
Line: 72
Function: library

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 41
Function: library

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Cannot start session when headers already sent

Filename: views/frontend_main.php

Line Number: 2

Backtrace:

File: /var/www/openml/openml_OS/views/frontend_main.php
Line: 2
Function: session_start

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 101
Function: view

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Data
BNG(anneal)

BNG(anneal)

active ARFF Publicly available Visibility: public Uploaded 28-04-2014 by unknown
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit

39 features

class (target)nominal6 unique values
0 missing
phosnominal2 unique values
0 missing
chromnominal2 unique values
0 missing
cbondnominal2 unique values
0 missing
marvinominal2 unique values
0 missing
exptlnominal2 unique values
0 missing
ferronominal2 unique values
0 missing
corrnominal2 unique values
0 missing
blue%2Fbright%2Fvarn%2Fcleannominal5 unique values
0 missing
lustrenominal2 unique values
0 missing
jurofmnominal2 unique values
0 missing
snominal2 unique values
0 missing
pnominal2 unique values
0 missing
shapenominal2 unique values
0 missing
thicknumeric720607 unique values
0 missing
widthnumeric586468 unique values
0 missing
lennumeric194388 unique values
0 missing
oilnominal3 unique values
0 missing
borenominal4 unique values
0 missing
packingnominal4 unique values
0 missing
surface-finishnominal3 unique values
0 missing
product-typenominal3 unique values
0 missing
steelnominal9 unique values
0 missing
carbonnumeric94197 unique values
0 missing
hardnessnumeric119264 unique values
0 missing
temper_rollingnominal2 unique values
0 missing
conditionnominal4 unique values
0 missing
formabilitynominal6 unique values
0 missing
strengthnumeric74930 unique values
0 missing
non-ageingnominal2 unique values
0 missing
familynominal10 unique values
0 missing
surface-qualitynominal5 unique values
0 missing
enamelabilitynominal6 unique values
0 missing
bcnominal2 unique values
0 missing
bfnominal2 unique values
0 missing
btnominal2 unique values
0 missing
bw%2Fmenominal3 unique values
0 missing
blnominal2 unique values
0 missing
mnominal2 unique values
0 missing
Show all 39 features

107 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
39
Number of attributes (columns) of the dataset.
NumberOfClasses
6
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
6
Number of numeric attributes.
NumberOfSymbolicFeatures
33
Number of nominal attributes.
AutoCorrelation
0.6
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpErrRate
0.09
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_DecisionStumpKappa
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesAUC
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesErrRate
0.09
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_NaiveBayesKappa
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NAUC
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NErrRate
0.09
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
CfsSubsetEval_kNN1NKappa
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
ClassEntropy
1.2
Entropy of the target attribute values.
DecisionStumpAUC
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.17
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.41
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
19.63
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.92
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.92
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.98
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.92
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
75.97
Percentage of instances belonging to the most frequent class.
MajorityClassSize
759652
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
2.17
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
7.43
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
1341.59
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.39
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
10
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
2.97
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1891.67
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0.57
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
2.57
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
365.88
Mean of means among attributes of the numeric type.
MeanMutualInformation
0.06
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
8.29
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
3.3
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
1.69
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
413.68
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.03
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-0.88
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
1.2
Minimum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
0.08
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.88
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
0.06
Percentage of instances belonging to the least frequent class.
MinorityClassSize
555
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.95
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.15
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.67
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
19
Number of binary attributes.
PercentageOfBinaryFeatures
48.72
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
15.38
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
84.62
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.05
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-0.47
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
4.28
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
0.91
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
12.42
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.38
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
0.99
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
30.26
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.02
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
1.46
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
82.88
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
0.8
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
7.28
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
925.4
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.08
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
2.96
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
778.56
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.91
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.91
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.91
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.94
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.05
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.87
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.94
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.05
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.87
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.94
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.05
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.87
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
2.08
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.94
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.05
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.88
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

25 tasks

Supervised Classification on BNG(anneal)
17 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(anneal)
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(anneal)
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(anneal)
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(anneal)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on BNG(anneal)
189 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on BNG(anneal)
0 runs
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(anneal)
0 runs - estimation_procedure: 50 times Clustering
Define a new task