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sylva_prior

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) Note: Derived from the covertype dataset 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. The "prior knowledge track" data is identical to the "agnostic learning track" data, except that the distracters are removed and the identity of the features is revealed. For that track, the forest cover original ids are revealed for training data. Data type: non-sparse Number of features: 108 Number of examples and check-sums: Pos_ex Neg_ex Tot_ex Check_sum Train 805 12281 13086 118996108.00 Valid 81 1228 1309 11904801.00

109 features

label (target)	nominal	2 unique values 0 missing
Elevation	numeric	801 unique values 0 missing
Aspect	numeric	360 unique values 0 missing
Slope	numeric	51 unique values 0 missing
Horizontal_Distance_To_Hydrology	numeric	354 unique values 0 missing
Vertical_Distance_To_Hydrology	numeric	427 unique values 0 missing
Horizontal_Distance_To_Roadways	numeric	919 unique values 0 missing
Hillshade_9am	numeric	165 unique values 0 missing
Hillshade_Noon	numeric	131 unique values 0 missing
Hillshade_3pm	numeric	244 unique values 0 missing
Horizontal_Distance_To_Fire_Points	numeric	906 unique values 0 missing
Rawah_Wilderness_Area	numeric	2 unique values 0 missing
Neota_Wilderness_Area	numeric	2 unique values 0 missing
Comanche_Peak_Wilderness_Area	numeric	2 unique values 0 missing
Cache_la_Poudre_Wilderness_Area	numeric	2 unique values 0 missing
Soil_Type_1	numeric	2 unique values 0 missing
Soil_Type_2	numeric	2 unique values 0 missing
Soil_Type_3	numeric	2 unique values 0 missing
Soil_Type_4	numeric	2 unique values 0 missing
Soil_Type_5	numeric	2 unique values 0 missing
Soil_Type_6	numeric	2 unique values 0 missing
Soil_Type_7	numeric	2 unique values 0 missing
Soil_Type_8	numeric	2 unique values 0 missing
Soil_Type_9	numeric	2 unique values 0 missing
Soil_Type_10	numeric	2 unique values 0 missing
Soil_Type_11	numeric	2 unique values 0 missing
Soil_Type_12	numeric	2 unique values 0 missing
Soil_Type_13	numeric	2 unique values 0 missing
Soil_Type_14	numeric	2 unique values 0 missing
Soil_Type_15	numeric	2 unique values 0 missing
Soil_Type_16	numeric	2 unique values 0 missing
Soil_Type_17	numeric	2 unique values 0 missing
Soil_Type_18	numeric	2 unique values 0 missing
Soil_Type_19	numeric	2 unique values 0 missing
Soil_Type_20	numeric	2 unique values 0 missing
Soil_Type_21	numeric	2 unique values 0 missing
Soil_Type_22	numeric	2 unique values 0 missing
Soil_Type_23	numeric	2 unique values 0 missing
Soil_Type_24	numeric	2 unique values 0 missing
Soil_Type_25	numeric	2 unique values 0 missing
Soil_Type_26	numeric	2 unique values 0 missing
Soil_Type_27	numeric	2 unique values 0 missing
Soil_Type_28	numeric	2 unique values 0 missing
Soil_Type_29	numeric	2 unique values 0 missing
Soil_Type_30	numeric	2 unique values 0 missing
Soil_Type_31	numeric	2 unique values 0 missing
Soil_Type_32	numeric	2 unique values 0 missing
Soil_Type_33	numeric	2 unique values 0 missing
Soil_Type_34	numeric	2 unique values 0 missing
Soil_Type_35	numeric	2 unique values 0 missing
Soil_Type_36	numeric	2 unique values 0 missing
Soil_Type_37	numeric	2 unique values 0 missing
Soil_Type_38	numeric	2 unique values 0 missing
Soil_Type_39	numeric	2 unique values 0 missing
Soil_Type_40	numeric	2 unique values 0 missing
dup_Elevation	numeric	803 unique values 0 missing
dup_Aspect	numeric	360 unique values 0 missing
dup_Slope	numeric	50 unique values 0 missing
dup_Horizontal_Distance_To_Hydrology	numeric	353 unique values 0 missing
dup_Vertical_Distance_To_Hydrology	numeric	430 unique values 0 missing
dup_Horizontal_Distance_To_Roadways	numeric	915 unique values 0 missing
dup_Hillshade_9am	numeric	170 unique values 0 missing
dup_Hillshade_Noon	numeric	128 unique values 0 missing
dup_Hillshade_3pm	numeric	239 unique values 0 missing
dup_Horizontal_Distance_To_Fire_Points	numeric	918 unique values 0 missing
dup_Rawah_Wilderness_Area	numeric	2 unique values 0 missing
dup_Neota_Wilderness_Area	numeric	2 unique values 0 missing
dup_Comanche_Peak_Wilderness_Area	numeric	2 unique values 0 missing
dup_Cache_la_Poudre_Wilderness_Area	numeric	2 unique values 0 missing
dup_Soil_Type_1	numeric	2 unique values 0 missing
dup_Soil_Type_2	numeric	2 unique values 0 missing
dup_Soil_Type_3	numeric	2 unique values 0 missing
dup_Soil_Type_4	numeric	2 unique values 0 missing
dup_Soil_Type_5	numeric	2 unique values 0 missing
dup_Soil_Type_6	numeric	2 unique values 0 missing
dup_Soil_Type_7	numeric	2 unique values 0 missing
dup_Soil_Type_8	numeric	2 unique values 0 missing
dup_Soil_Type_9	numeric	2 unique values 0 missing
dup_Soil_Type_10	numeric	2 unique values 0 missing
dup_Soil_Type_11	numeric	2 unique values 0 missing
dup_Soil_Type_12	numeric	2 unique values 0 missing
dup_Soil_Type_13	numeric	2 unique values 0 missing
dup_Soil_Type_14	numeric	2 unique values 0 missing
dup_Soil_Type_15	numeric	1 unique values 0 missing
dup_Soil_Type_16	numeric	2 unique values 0 missing
dup_Soil_Type_17	numeric	2 unique values 0 missing
dup_Soil_Type_18	numeric	2 unique values 0 missing
dup_Soil_Type_19	numeric	2 unique values 0 missing
dup_Soil_Type_20	numeric	2 unique values 0 missing
dup_Soil_Type_21	numeric	2 unique values 0 missing
dup_Soil_Type_22	numeric	2 unique values 0 missing
dup_Soil_Type_23	numeric	2 unique values 0 missing
dup_Soil_Type_24	numeric	2 unique values 0 missing
dup_Soil_Type_25	numeric	2 unique values 0 missing
dup_Soil_Type_26	numeric	2 unique values 0 missing
dup_Soil_Type_27	numeric	2 unique values 0 missing
dup_Soil_Type_28	numeric	2 unique values 0 missing
dup_Soil_Type_29	numeric	2 unique values 0 missing
dup_Soil_Type_30	numeric	2 unique values 0 missing
dup_Soil_Type_31	numeric	2 unique values 0 missing
dup_Soil_Type_32	numeric	2 unique values 0 missing
dup_Soil_Type_33	numeric	2 unique values 0 missing
dup_Soil_Type_34	numeric	2 unique values 0 missing
dup_Soil_Type_35	numeric	2 unique values 0 missing
dup_Soil_Type_36	numeric	2 unique values 0 missing
dup_Soil_Type_37	numeric	2 unique values 0 missing
dup_Soil_Type_38	numeric	2 unique values 0 missing
dup_Soil_Type_39	numeric	2 unique values 0 missing
dup_Soil_Type_40	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

14395

Number of instances (rows) of the dataset.

NumberOfFeatures

109

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

108

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

J48.001.Kappa

0.94

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

MeanSkewnessOfNumericAtts

15.05

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.06

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

REPTreeDepth2AUC

0.99

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

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

kNN1NAUC

0.96

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

MajorityClassPercentage

93.85

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

28.35

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.01

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

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

kNN1NErrRate

0.01

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

MajorityClassSize

13509

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

38.79

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

REPTreeDepth2Kappa

0.91

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

ClassEntropy

0.33

Entropy of the target attribute values.

kNN1NKappa

0.91

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.96

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.02

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

REPTreeDepth3AUC

0.99

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

DecisionStumpAUC

0.91

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

MaxKurtosisOfNumericAtts

14395

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.01

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

DecisionStumpErrRate

0.06

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

MaxMeansOfNumericAtts

878.7

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2SkewnessOfNumericAtts

6.39

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

REPTreeDepth3Kappa

0.91

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

DecisionStumpKappa

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

MaxMutualInformation

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

MinNominalAttDistinctValues

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

PercentageOfBinaryFeatures

0.92

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.15

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

RandomTreeDepth1AUC

0.9

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

Dimensionality

0.01

Number of attributes divided by the number of instances.

MaxNominalAttDistinctValues

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

MinSkewnessOfNumericAtts

-1.18

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.02

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

EquivalentNumberOfAtts

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

MaxSkewnessOfNumericAtts

119.98

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

283

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.88

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.8

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

J48.00001.AUC

0.97

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

MaxStdDevOfNumericAtts

309.83

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

6.15

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.08

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.1

Third quartile of means among attributes of the numeric type.

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

RandomTreeDepth2AUC

0.9

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

J48.00001.ErrRate

0.01

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

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

886

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.92

Percentage of nominal attributes.

Quartile3MutualInformation

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

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

RandomTreeDepth2ErrRate

0.02

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

J48.00001.Kappa

0.94

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

MeanKurtosisOfNumericAtts

784.38

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

16.88

Third quartile of skewness among attributes of the numeric type.

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

RandomTreeDepth2Kappa

0.8

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

J48.0001.AUC

0.97

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

MeanMeansOfNumericAtts

84.2

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.02

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

Quartile1KurtosisOfNumericAtts

5.6

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.3

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

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

RandomTreeDepth3AUC

0.9

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

J48.0001.ErrRate

0.01

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

MeanMutualInformation

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

NaiveBayesKappa

0.82

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

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.99

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

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

RandomTreeDepth3ErrRate

0.02

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

J48.0001.Kappa

0.94

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

MeanNoiseToSignalRatio

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

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

REPTreeDepth1ErrRate

0.01

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

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

RandomTreeDepth3Kappa

0.8

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

J48.001.AUC

0.97

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

MeanNominalAttDistinctValues

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

Quartile1SkewnessOfNumericAtts

2.65

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.91

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

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

StdvNominalAttDistinctValues

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

J48.001.ErrRate

0.01

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

Show all 107 properties

16 tasks

Supervised Classification on sylva_prior

286 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: label

Supervised Classification on sylva_prior

127 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: label

Supervised Classification on sylva_prior

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

Learning Curve on sylva_prior

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

Supervised Data Stream Classification on sylva_prior

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

Clustering on sylva_prior