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sylva_agnostic

active ARFF Publicly available Visibility: public Uploaded 06-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch) Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php Modified by TunedIT (converted to ARFF format) SYLVA is the ecology database The task of SYLVA is to classify forest cover types. The forest cover type for 30 x 30 meter cells is obtained from US Forest Service (USFS) Region 2 Resource Information System (RIS) data. We brought it back to a two-class classification problem (classifying Ponderosa pine vs. everything else). The "agnostic learning track" data consists in 216 input variables. Each pattern is composed of 4 records: 2 true records matching the target and 2 records picked at random. Thus 1/2 of the features are distracters. Data type: non-sparse Number of features: 216 Number of examples and check-sums: Pos_ex Neg_ex Tot_ex Check_sum Train 805 12281 13086 238271607.00 Valid 81 1228 1309 23817234.00 This dataset contains samples from both training and validation datasets.

217 features

label (target)	nominal	2 unique values 0 missing
attr0	numeric	173 unique values 0 missing
attr1	numeric	2 unique values 0 missing
attr2	numeric	2 unique values 0 missing
attr3	numeric	2 unique values 0 missing
attr4	numeric	915 unique values 0 missing
attr5	numeric	2 unique values 0 missing
attr6	numeric	2 unique values 0 missing
attr7	numeric	2 unique values 0 missing
attr8	numeric	2 unique values 0 missing
attr9	numeric	923 unique values 0 missing
attr10	numeric	2 unique values 0 missing
attr11	numeric	354 unique values 0 missing
attr12	numeric	441 unique values 0 missing
attr13	numeric	2 unique values 0 missing
attr14	numeric	1 unique values 0 missing
attr15	numeric	2 unique values 0 missing
attr16	numeric	2 unique values 0 missing
attr17	numeric	2 unique values 0 missing
attr18	numeric	2 unique values 0 missing
attr19	numeric	2 unique values 0 missing
attr20	numeric	353 unique values 0 missing
attr21	numeric	2 unique values 0 missing
attr22	numeric	165 unique values 0 missing
attr23	numeric	167 unique values 0 missing
attr24	numeric	2 unique values 0 missing
attr25	numeric	2 unique values 0 missing
attr26	numeric	2 unique values 0 missing
attr27	numeric	2 unique values 0 missing
attr28	numeric	2 unique values 0 missing
attr29	numeric	2 unique values 0 missing
attr30	numeric	2 unique values 0 missing
attr31	numeric	2 unique values 0 missing
attr32	numeric	2 unique values 0 missing
attr33	numeric	2 unique values 0 missing
attr34	numeric	2 unique values 0 missing
attr35	numeric	2 unique values 0 missing
attr36	numeric	2 unique values 0 missing
attr37	numeric	2 unique values 0 missing
attr38	numeric	2 unique values 0 missing
attr39	numeric	2 unique values 0 missing
attr40	numeric	2 unique values 0 missing
attr41	numeric	2 unique values 0 missing
attr42	numeric	2 unique values 0 missing
attr43	numeric	2 unique values 0 missing
attr44	numeric	2 unique values 0 missing
attr45	numeric	2 unique values 0 missing
attr46	numeric	2 unique values 0 missing
attr47	numeric	2 unique values 0 missing
attr48	numeric	129 unique values 0 missing
attr49	numeric	2 unique values 0 missing
attr50	numeric	2 unique values 0 missing
attr51	numeric	361 unique values 0 missing
attr52	numeric	2 unique values 0 missing
attr53	numeric	909 unique values 0 missing
attr54	numeric	803 unique values 0 missing
attr55	numeric	2 unique values 0 missing
attr56	numeric	2 unique values 0 missing
attr57	numeric	2 unique values 0 missing
attr58	numeric	2 unique values 0 missing
attr59	numeric	361 unique values 0 missing
attr60	numeric	2 unique values 0 missing
attr61	numeric	2 unique values 0 missing
attr62	numeric	245 unique values 0 missing
attr63	numeric	2 unique values 0 missing
attr64	numeric	2 unique values 0 missing
attr65	numeric	2 unique values 0 missing
attr66	numeric	2 unique values 0 missing
attr67	numeric	2 unique values 0 missing
attr68	numeric	2 unique values 0 missing
attr69	numeric	239 unique values 0 missing
attr70	numeric	2 unique values 0 missing
attr71	numeric	2 unique values 0 missing
attr72	numeric	2 unique values 0 missing
attr73	numeric	2 unique values 0 missing
attr74	numeric	131 unique values 0 missing
attr75	numeric	2 unique values 0 missing
attr76	numeric	2 unique values 0 missing
attr77	numeric	2 unique values 0 missing
attr78	numeric	2 unique values 0 missing
attr79	numeric	2 unique values 0 missing
attr80	numeric	2 unique values 0 missing
attr81	numeric	2 unique values 0 missing
attr82	numeric	2 unique values 0 missing
attr83	numeric	2 unique values 0 missing
attr84	numeric	2 unique values 0 missing
attr85	numeric	2 unique values 0 missing
attr86	numeric	2 unique values 0 missing
attr87	numeric	2 unique values 0 missing
attr88	numeric	2 unique values 0 missing
attr89	numeric	2 unique values 0 missing
attr90	numeric	2 unique values 0 missing
attr91	numeric	915 unique values 0 missing
attr92	numeric	1 unique values 0 missing
attr93	numeric	2 unique values 0 missing
attr94	numeric	2 unique values 0 missing
attr95	numeric	2 unique values 0 missing
attr96	numeric	799 unique values 0 missing
attr97	numeric	360 unique values 0 missing
attr98	numeric	2 unique values 0 missing
attr99	numeric	2 unique values 0 missing
attr100	numeric	2 unique values 0 missing
attr101	numeric	427 unique values 0 missing
attr102	numeric	2 unique values 0 missing
attr103	numeric	2 unique values 0 missing
attr104	numeric	2 unique values 0 missing
attr105	numeric	2 unique values 0 missing
attr106	numeric	916 unique values 0 missing
attr107	numeric	2 unique values 0 missing
attr108	numeric	2 unique values 0 missing
attr109	numeric	801 unique values 0 missing
attr110	numeric	2 unique values 0 missing
attr111	numeric	353 unique values 0 missing
attr112	numeric	2 unique values 0 missing
attr113	numeric	2 unique values 0 missing
attr114	numeric	2 unique values 0 missing
attr115	numeric	1 unique values 0 missing
attr116	numeric	2 unique values 0 missing
attr117	numeric	2 unique values 0 missing
attr118	numeric	2 unique values 0 missing
attr119	numeric	2 unique values 0 missing
attr120	numeric	2 unique values 0 missing
attr121	numeric	2 unique values 0 missing
attr122	numeric	2 unique values 0 missing
attr123	numeric	2 unique values 0 missing
attr124	numeric	2 unique values 0 missing
attr125	numeric	2 unique values 0 missing
attr126	numeric	2 unique values 0 missing
attr127	numeric	2 unique values 0 missing
attr128	numeric	2 unique values 0 missing
attr129	numeric	2 unique values 0 missing
attr130	numeric	2 unique values 0 missing
attr131	numeric	2 unique values 0 missing
attr132	numeric	2 unique values 0 missing
attr133	numeric	2 unique values 0 missing
attr134	numeric	2 unique values 0 missing
attr135	numeric	2 unique values 0 missing
attr136	numeric	2 unique values 0 missing
attr137	numeric	2 unique values 0 missing
attr138	numeric	2 unique values 0 missing
attr139	numeric	2 unique values 0 missing
attr140	numeric	2 unique values 0 missing
attr141	numeric	2 unique values 0 missing
attr142	numeric	242 unique values 0 missing
attr143	numeric	2 unique values 0 missing
attr144	numeric	2 unique values 0 missing
attr145	numeric	2 unique values 0 missing
attr146	numeric	340 unique values 0 missing
attr147	numeric	2 unique values 0 missing
attr148	numeric	906 unique values 0 missing
attr149	numeric	2 unique values 0 missing
attr150	numeric	2 unique values 0 missing
attr151	numeric	48 unique values 0 missing
attr152	numeric	49 unique values 0 missing
attr153	numeric	429 unique values 0 missing
attr154	numeric	2 unique values 0 missing
attr155	numeric	2 unique values 0 missing
attr156	numeric	2 unique values 0 missing
attr157	numeric	2 unique values 0 missing
attr158	numeric	2 unique values 0 missing
attr159	numeric	2 unique values 0 missing
attr160	numeric	2 unique values 0 missing
attr161	numeric	50 unique values 0 missing
attr162	numeric	2 unique values 0 missing
attr163	numeric	128 unique values 0 missing
attr164	numeric	51 unique values 0 missing
attr165	numeric	918 unique values 0 missing
attr166	numeric	2 unique values 0 missing
attr167	numeric	170 unique values 0 missing
attr168	numeric	2 unique values 0 missing
attr169	numeric	2 unique values 0 missing
attr170	numeric	2 unique values 0 missing
attr171	numeric	2 unique values 0 missing
attr172	numeric	2 unique values 0 missing
attr173	numeric	2 unique values 0 missing
attr174	numeric	2 unique values 0 missing
attr175	numeric	2 unique values 0 missing
attr176	numeric	360 unique values 0 missing
attr177	numeric	430 unique values 0 missing
attr178	numeric	2 unique values 0 missing
attr179	numeric	919 unique values 0 missing
attr180	numeric	2 unique values 0 missing
attr181	numeric	2 unique values 0 missing
attr182	numeric	2 unique values 0 missing
attr183	numeric	2 unique values 0 missing
attr184	numeric	2 unique values 0 missing
attr185	numeric	2 unique values 0 missing
attr186	numeric	2 unique values 0 missing
attr187	numeric	2 unique values 0 missing
attr188	numeric	2 unique values 0 missing
attr189	numeric	2 unique values 0 missing
attr190	numeric	2 unique values 0 missing
attr191	numeric	2 unique values 0 missing
attr192	numeric	2 unique values 0 missing
attr193	numeric	2 unique values 0 missing
attr194	numeric	133 unique values 0 missing
attr195	numeric	2 unique values 0 missing
attr196	numeric	2 unique values 0 missing
attr197	numeric	2 unique values 0 missing
attr198	numeric	2 unique values 0 missing
attr199	numeric	2 unique values 0 missing
attr200	numeric	2 unique values 0 missing
attr201	numeric	801 unique values 0 missing
attr202	numeric	2 unique values 0 missing
attr203	numeric	244 unique values 0 missing
attr204	numeric	2 unique values 0 missing
attr205	numeric	2 unique values 0 missing
attr206	numeric	2 unique values 0 missing
attr207	numeric	2 unique values 0 missing
attr208	numeric	1 unique values 0 missing
attr209	numeric	2 unique values 0 missing
attr210	numeric	2 unique values 0 missing
attr211	numeric	2 unique values 0 missing
attr212	numeric	2 unique values 0 missing
attr213	numeric	2 unique values 0 missing
attr214	numeric	2 unique values 0 missing
attr215	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

14395

Number of instances (rows) of the dataset.

NumberOfFeatures

217

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

216

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

AutoCorrelation

0.88

Average class difference between consecutive instances.

CfsSubsetEval_DecisionStumpAUC

0.97

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

0.01

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

0.92

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

0.97

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

0.01

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

0.92

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

0.97

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

0.01

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

0.92

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

0.33

Entropy of the target attribute values.

DecisionStumpAUC

0.92

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

DecisionStumpErrRate

0.06

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

DecisionStumpKappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

Dimensionality

0.02

Number of attributes divided by the number of instances.

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

J48.00001.AUC

0.96

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

J48.00001.ErrRate

0.01

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

0.96

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

J48.0001.ErrRate

0.01

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

0.96

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

J48.001.ErrRate

0.01

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

93.85

Percentage of instances belonging to the most frequent class.

MajorityClassSize

13509

Number of instances belonging to the most frequent class.

MaxAttributeEntropy

Maximum entropy among attributes.

MaxKurtosisOfNumericAtts

14395

Maximum kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

879.13

Maximum of means among attributes of the numeric type.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MaxSkewnessOfNumericAtts

119.98

Maximum skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

312.04

Maximum standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MeanKurtosisOfNumericAtts

560.67

Mean kurtosis among attributes of the numeric type.

MeanMeansOfNumericAtts

84.29

Mean of means among attributes of the numeric type.

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

MeanSkewnessOfNumericAtts

13.35

Mean skewness among attributes of the numeric type.

MeanStdDevOfNumericAtts

28.4

Mean standard deviation of attributes of the numeric type.

MinAttributeEntropy

Minimal entropy among attributes.

MinKurtosisOfNumericAtts

-1.97

Minimum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-1.18

Minimum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

MinorityClassPercentage

6.15

Percentage of instances belonging to the least frequent class.

MinorityClassSize

886

Number of instances belonging to the least frequent class.

NaiveBayesAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

NaiveBayesErrRate

0.02

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

NaiveBayesKappa

0.82

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

NumberOfBinaryFeatures

Number of binary attributes.

PercentageOfBinaryFeatures

0.46

Percentage of binary attributes.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

PercentageOfMissingValues

Percentage of missing values.

PercentageOfNumericFeatures

99.54

Percentage of numeric attributes.

PercentageOfSymbolicFeatures

0.46

Percentage of nominal attributes.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile1KurtosisOfNumericAtts

5.41

First quartile of kurtosis among attributes of the numeric type.

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

Quartile1SkewnessOfNumericAtts

2.62

First quartile of skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.06

First quartile of standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

36.96

Second quartile (Median) of kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.02

Second quartile (Median) of means among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

6.24

Second quartile (Median) of skewness among attributes of the numeric type.

Quartile2StdDevOfNumericAtts

0.15

Second quartile (Median) of standard deviation of attributes of the numeric type.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

Quartile3KurtosisOfNumericAtts

274.69

Third quartile of kurtosis among attributes of the numeric type.

Quartile3MeansOfNumericAtts

0.1

Third quartile of means among attributes of the numeric type.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

Quartile3SkewnessOfNumericAtts

16.63

Third quartile of skewness among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.3

Third quartile of standard deviation of attributes of the numeric type.

REPTreeDepth1AUC

0.98

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

REPTreeDepth1ErrRate

0.01

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

REPTreeDepth1Kappa

0.92

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

REPTreeDepth2AUC

0.98

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

REPTreeDepth2ErrRate

0.01

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

REPTreeDepth2Kappa

0.92

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

REPTreeDepth3AUC

0.98

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

REPTreeDepth3ErrRate

0.01

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

REPTreeDepth3Kappa

0.92

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

RandomTreeDepth1AUC

0.84

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

RandomTreeDepth1ErrRate

0.04

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

RandomTreeDepth1Kappa

0.67

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

RandomTreeDepth2AUC

0.84

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

RandomTreeDepth2ErrRate

0.04

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

RandomTreeDepth2Kappa

0.67

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

RandomTreeDepth3AUC

0.84

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

RandomTreeDepth3ErrRate

0.04

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

RandomTreeDepth3Kappa

0.67

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

kNN1NAUC

0.89

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

kNN1NErrRate

0.02

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

kNN1NKappa

0.79

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

Show all 107 properties

11 tasks

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: Leave one out - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: Test on Training Data - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: 33% Holdout set - target_feature: label

Supervised Classification on sylva_agnostic

0 runs - estimation_procedure: 10% Holdout set - target_feature: label

Learning Curve on sylva_agnostic

0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: label

Learning Curve on sylva_agnostic

0 runs - estimation_procedure: 10 times 10-fold Learning Curve - target_feature: label

Supervised Data Stream Classification on sylva_agnostic

0 runs - estimation_procedure: Interleaved Test then Train - target_feature: label

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sylva_agnostic

217 features

107 properties

11 tasks