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mfeat-pixel

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Author: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Multiple+Features) - 1998 Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Multiple Features Dataset: Pixel One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. The maps were scanned in 8 bit grey value at density of 400dpi, scanned, sharpened, and thresholded. Corresponding patterns in different datasets correspond to the same original character. 200 instances per class (for a total of 2,000 instances) have been digitized in binary images. Using this dataset, sampled versions of the original images may be obtained (15 x 16 pixels). ### Attribute Information The mfeatures represent 240 (15 x 16) pixel averages in 2 x 3 windows. ### Relevant Papers A slightly different version of the database is used in M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386. The database as is is used in: A.K. Jain, R.P.W. Duin, J. Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence archive, Volume 22 Issue 1, January 2000

241 features

class (target)	nominal	10 unique values 0 missing
att1	nominal	6 unique values 0 missing
att2	nominal	7 unique values 0 missing
att3	nominal	7 unique values 0 missing
att4	nominal	7 unique values 0 missing
att5	nominal	7 unique values 0 missing
att6	nominal	7 unique values 0 missing
att7	nominal	7 unique values 0 missing
att8	nominal	7 unique values 0 missing
att9	nominal	7 unique values 0 missing
att10	nominal	7 unique values 0 missing
att11	nominal	7 unique values 0 missing
att12	nominal	7 unique values 0 missing
att13	nominal	7 unique values 0 missing
att14	nominal	7 unique values 0 missing
att15	nominal	6 unique values 0 missing
att16	nominal	7 unique values 0 missing
att17	nominal	7 unique values 0 missing
att18	nominal	7 unique values 0 missing
att19	nominal	7 unique values 0 missing
att20	nominal	7 unique values 0 missing
att21	nominal	7 unique values 0 missing
att22	nominal	7 unique values 0 missing
att23	nominal	7 unique values 0 missing
att24	nominal	7 unique values 0 missing
att25	nominal	7 unique values 0 missing
att26	nominal	7 unique values 0 missing
att27	nominal	7 unique values 0 missing
att28	nominal	7 unique values 0 missing
att29	nominal	7 unique values 0 missing
att30	nominal	7 unique values 0 missing
att31	nominal	7 unique values 0 missing
att32	nominal	7 unique values 0 missing
att33	nominal	7 unique values 0 missing
att34	nominal	7 unique values 0 missing
att35	nominal	7 unique values 0 missing
att36	nominal	7 unique values 0 missing
att37	nominal	7 unique values 0 missing
att38	nominal	7 unique values 0 missing
att39	nominal	7 unique values 0 missing
att40	nominal	7 unique values 0 missing
att41	nominal	7 unique values 0 missing
att42	nominal	7 unique values 0 missing
att43	nominal	7 unique values 0 missing
att44	nominal	7 unique values 0 missing
att45	nominal	7 unique values 0 missing
att46	nominal	7 unique values 0 missing
att47	nominal	7 unique values 0 missing
att48	nominal	7 unique values 0 missing
att49	nominal	7 unique values 0 missing
att50	nominal	7 unique values 0 missing
att51	nominal	7 unique values 0 missing
att52	nominal	7 unique values 0 missing
att53	nominal	7 unique values 0 missing
att54	nominal	7 unique values 0 missing
att55	nominal	7 unique values 0 missing
att56	nominal	7 unique values 0 missing
att57	nominal	7 unique values 0 missing
att58	nominal	7 unique values 0 missing
att59	nominal	7 unique values 0 missing
att60	nominal	7 unique values 0 missing
att61	nominal	7 unique values 0 missing
att62	nominal	7 unique values 0 missing
att63	nominal	7 unique values 0 missing
att64	nominal	7 unique values 0 missing
att65	nominal	7 unique values 0 missing
att66	nominal	7 unique values 0 missing
att67	nominal	7 unique values 0 missing
att68	nominal	7 unique values 0 missing
att69	nominal	7 unique values 0 missing
att70	nominal	7 unique values 0 missing
att71	nominal	7 unique values 0 missing
att72	nominal	7 unique values 0 missing
att73	nominal	7 unique values 0 missing
att74	nominal	7 unique values 0 missing
att75	nominal	7 unique values 0 missing
att76	nominal	7 unique values 0 missing
att77	nominal	7 unique values 0 missing
att78	nominal	7 unique values 0 missing
att79	nominal	7 unique values 0 missing
att80	nominal	7 unique values 0 missing
att81	nominal	7 unique values 0 missing
att82	nominal	7 unique values 0 missing
att83	nominal	7 unique values 0 missing
att84	nominal	7 unique values 0 missing
att85	nominal	7 unique values 0 missing
att86	nominal	7 unique values 0 missing
att87	nominal	7 unique values 0 missing
att88	nominal	7 unique values 0 missing
att89	nominal	7 unique values 0 missing
att90	nominal	7 unique values 0 missing
att91	nominal	7 unique values 0 missing
att92	nominal	7 unique values 0 missing
att93	nominal	7 unique values 0 missing
att94	nominal	7 unique values 0 missing
att95	nominal	7 unique values 0 missing
att96	nominal	7 unique values 0 missing
att97	nominal	7 unique values 0 missing
att98	nominal	7 unique values 0 missing
att99	nominal	7 unique values 0 missing
att100	nominal	7 unique values 0 missing
att101	nominal	7 unique values 0 missing
att102	nominal	7 unique values 0 missing
att103	nominal	7 unique values 0 missing
att104	nominal	7 unique values 0 missing
att105	nominal	7 unique values 0 missing
att106	nominal	7 unique values 0 missing
att107	nominal	7 unique values 0 missing
att108	nominal	7 unique values 0 missing
att109	nominal	7 unique values 0 missing
att110	nominal	7 unique values 0 missing
att111	nominal	7 unique values 0 missing
att112	nominal	7 unique values 0 missing
att113	nominal	7 unique values 0 missing
att114	nominal	7 unique values 0 missing
att115	nominal	7 unique values 0 missing
att116	nominal	7 unique values 0 missing
att117	nominal	7 unique values 0 missing
att118	nominal	7 unique values 0 missing
att119	nominal	7 unique values 0 missing
att120	nominal	7 unique values 0 missing
att121	nominal	7 unique values 0 missing
att122	nominal	7 unique values 0 missing
att123	nominal	7 unique values 0 missing
att124	nominal	7 unique values 0 missing
att125	nominal	7 unique values 0 missing
att126	nominal	7 unique values 0 missing
att127	nominal	7 unique values 0 missing
att128	nominal	7 unique values 0 missing
att129	nominal	7 unique values 0 missing
att130	nominal	7 unique values 0 missing
att131	nominal	7 unique values 0 missing
att132	nominal	7 unique values 0 missing
att133	nominal	7 unique values 0 missing
att134	nominal	7 unique values 0 missing
att135	nominal	7 unique values 0 missing
att136	nominal	7 unique values 0 missing
att137	nominal	7 unique values 0 missing
att138	nominal	7 unique values 0 missing
att139	nominal	7 unique values 0 missing
att140	nominal	7 unique values 0 missing
att141	nominal	7 unique values 0 missing
att142	nominal	7 unique values 0 missing
att143	nominal	7 unique values 0 missing
att144	nominal	7 unique values 0 missing
att145	nominal	7 unique values 0 missing
att146	nominal	7 unique values 0 missing
att147	nominal	7 unique values 0 missing
att148	nominal	7 unique values 0 missing
att149	nominal	7 unique values 0 missing
att150	nominal	7 unique values 0 missing
att151	nominal	7 unique values 0 missing
att152	nominal	7 unique values 0 missing
att153	nominal	7 unique values 0 missing
att154	nominal	7 unique values 0 missing
att155	nominal	7 unique values 0 missing
att156	nominal	7 unique values 0 missing
att157	nominal	7 unique values 0 missing
att158	nominal	7 unique values 0 missing
att159	nominal	7 unique values 0 missing
att160	nominal	7 unique values 0 missing
att161	nominal	7 unique values 0 missing
att162	nominal	7 unique values 0 missing
att163	nominal	7 unique values 0 missing
att164	nominal	7 unique values 0 missing
att165	nominal	7 unique values 0 missing
att166	nominal	7 unique values 0 missing
att167	nominal	7 unique values 0 missing
att168	nominal	7 unique values 0 missing
att169	nominal	7 unique values 0 missing
att170	nominal	7 unique values 0 missing
att171	nominal	7 unique values 0 missing
att172	nominal	7 unique values 0 missing
att173	nominal	7 unique values 0 missing
att174	nominal	7 unique values 0 missing
att175	nominal	7 unique values 0 missing
att176	nominal	7 unique values 0 missing
att177	nominal	7 unique values 0 missing
att178	nominal	7 unique values 0 missing
att179	nominal	7 unique values 0 missing
att180	nominal	7 unique values 0 missing
att181	nominal	7 unique values 0 missing
att182	nominal	7 unique values 0 missing
att183	nominal	7 unique values 0 missing
att184	nominal	7 unique values 0 missing
att185	nominal	7 unique values 0 missing
att186	nominal	7 unique values 0 missing
att187	nominal	7 unique values 0 missing
att188	nominal	7 unique values 0 missing
att189	nominal	7 unique values 0 missing
att190	nominal	7 unique values 0 missing
att191	nominal	7 unique values 0 missing
att192	nominal	7 unique values 0 missing
att193	nominal	7 unique values 0 missing
att194	nominal	7 unique values 0 missing
att195	nominal	7 unique values 0 missing
att196	nominal	7 unique values 0 missing
att197	nominal	7 unique values 0 missing
att198	nominal	7 unique values 0 missing
att199	nominal	7 unique values 0 missing
att200	nominal	7 unique values 0 missing
att201	nominal	7 unique values 0 missing
att202	nominal	7 unique values 0 missing
att203	nominal	7 unique values 0 missing
att204	nominal	7 unique values 0 missing
att205	nominal	7 unique values 0 missing
att206	nominal	7 unique values 0 missing
att207	nominal	7 unique values 0 missing
att208	nominal	7 unique values 0 missing
att209	nominal	7 unique values 0 missing
att210	nominal	7 unique values 0 missing
att211	nominal	7 unique values 0 missing
att212	nominal	7 unique values 0 missing
att213	nominal	7 unique values 0 missing
att214	nominal	7 unique values 0 missing
att215	nominal	7 unique values 0 missing
att216	nominal	7 unique values 0 missing
att217	nominal	7 unique values 0 missing
att218	nominal	7 unique values 0 missing
att219	nominal	7 unique values 0 missing
att220	nominal	7 unique values 0 missing
att221	nominal	7 unique values 0 missing
att222	nominal	7 unique values 0 missing
att223	nominal	7 unique values 0 missing
att224	nominal	7 unique values 0 missing
att225	nominal	7 unique values 0 missing
att226	nominal	5 unique values 0 missing
att227	nominal	5 unique values 0 missing
att228	nominal	5 unique values 0 missing
att229	nominal	5 unique values 0 missing
att230	nominal	5 unique values 0 missing
att231	nominal	5 unique values 0 missing
att232	nominal	5 unique values 0 missing
att233	nominal	5 unique values 0 missing
att234	nominal	5 unique values 0 missing
att235	nominal	5 unique values 0 missing
att236	nominal	5 unique values 0 missing
att237	nominal	5 unique values 0 missing
att238	nominal	5 unique values 0 missing
att239	nominal	5 unique values 0 missing
att240	nominal	5 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

2000

Number of instances (rows) of the dataset.

NumberOfFeatures

241

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

Number of numeric attributes.

NumberOfSymbolicFeatures

241

Number of nominal attributes.

MaxStdDevOfNumericAtts

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.89

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

RandomTreeDepth2AUC

0.8

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

J48.00001.ErrRate

0.25

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

1.78

Average entropy of the attributes.

MinorityClassSize

200

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

100

Percentage of nominal attributes.

Quartile3MutualInformation

0.42

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

CfsSubsetEval_DecisionStumpErrRate

0.24

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

RandomTreeDepth2ErrRate

0.41

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

J48.00001.Kappa

0.73

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanKurtosisOfNumericAtts

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.99

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

Quartile1AttributeEntropy

1.63

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.74

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

RandomTreeDepth2Kappa

0.55

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

J48.0001.AUC

0.89

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

MeanMeansOfNumericAtts

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.07

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

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

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

CfsSubsetEval_NaiveBayesAUC

0.89

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

RandomTreeDepth3AUC

0.8

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

J48.0001.ErrRate

0.25

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

0.35

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

NaiveBayesKappa

0.92

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

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.89

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

CfsSubsetEval_NaiveBayesErrRate

0.24

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

RandomTreeDepth3ErrRate

0.41

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

J48.0001.Kappa

0.73

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanNoiseToSignalRatio

4.13

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

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

0.27

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

REPTreeDepth1ErrRate

0.29

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

CfsSubsetEval_NaiveBayesKappa

0.74

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

RandomTreeDepth3Kappa

0.55

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

J48.001.AUC

0.89

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

MeanNominalAttDistinctValues

6.88

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

Quartile1SkewnessOfNumericAtts

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.67

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

CfsSubsetEval_kNN1NAUC

0.89

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

StdvNominalAttDistinctValues

0.53

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

J48.001.ErrRate

0.25

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

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

REPTreeDepth2AUC

0.89

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

CfsSubsetEval_kNN1NErrRate

0.24

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

kNN1NAUC

0.98

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

J48.001.Kappa

0.73

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanStdDevOfNumericAtts

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

1.79

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.29

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

CfsSubsetEval_kNN1NKappa

0.74

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

kNN1NErrRate

0.05

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

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MinAttributeEntropy

0.53

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

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

REPTreeDepth2Kappa

0.67

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

ClassEntropy

3.32

Entropy of the target attribute values.

kNN1NKappa

0.95

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

MajorityClassSize

200

Number of instances belonging to the most frequent class.

MinKurtosisOfNumericAtts

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

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

REPTreeDepth3AUC

0.89

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

DecisionStumpAUC

0.72

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

MaxAttributeEntropy

2.49

Maximum entropy among attributes.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

0.35

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

REPTreeDepth3ErrRate

0.29

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

DecisionStumpErrRate

0.81

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

MaxKurtosisOfNumericAtts

Maximum kurtosis among attributes of the numeric type.

MinMutualInformation

0.04

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

Quartile2SkewnessOfNumericAtts

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

REPTreeDepth3Kappa

0.67

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

DecisionStumpKappa

0.1

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

MaxMeansOfNumericAtts

Maximum of means among attributes of the numeric type.

MinNominalAttDistinctValues

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

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

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

RandomTreeDepth1AUC

0.8

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

Dimensionality

0.12

Number of attributes divided by the number of instances.

MaxMutualInformation

0.7

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

MinSkewnessOfNumericAtts

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

1.96

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.41

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

EquivalentNumberOfAtts

9.55

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

MaxNominalAttDistinctValues

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

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.55

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

J48.00001.AUC

0.89

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

MaxSkewnessOfNumericAtts

Maximum skewness among attributes of the numeric type.

Show all 107 properties

71 tasks

Supervised Classification on mfeat-pixel

12158 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class

Supervised Classification on mfeat-pixel

305 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Classification on mfeat-pixel

282 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Classification on mfeat-pixel

181 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Classification on mfeat-pixel

31 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class

Supervised Classification on mfeat-pixel

1 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: class

Supervised Classification on mfeat-pixel

0 runs - estimation_procedure: Leave one out - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Classification on mfeat-pixel

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

Learning Curve on mfeat-pixel

323 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class

Learning Curve on mfeat-pixel

191 runs - estimation_procedure: 10 times 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Learning Curve on mfeat-pixel

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

Supervised Data Stream Classification on mfeat-pixel

25 runs - estimation_procedure: Interleaved Test then Train - target_feature: class

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - target_feature: class

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Clustering on mfeat-pixel

0 runs - estimation_procedure: 50 times Clustering

Subgroup Discovery on mfeat-pixel

1308 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1308 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1305 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1304 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1303 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1303 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1303 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1303 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1303 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

1301 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

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Subgroup Discovery on mfeat-pixel

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Subgroup Discovery on mfeat-pixel

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Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

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Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

Subgroup Discovery on mfeat-pixel

0 runs - target_feature: class

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mfeat-pixel

241 features

107 properties

71 tasks