Data
Indian_pines

Indian_pines

active ARFF Public Domain (CC0) Visibility: public Uploaded 09-07-2019 by Arman Khudinyan
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Author: Manvel Khudinyan Source: [original](https://purr.purdue.edu/publications/1947/1) - The imagery was collected on 12 June 1992 and represents a 2.9 by 2.9 km area in Tippecanoe County, Indiana, USA Please cite: Data contains the information of 9144 samples form 220 spectral bands. The classes represent land-use types: alfalfa, corn, grass, hay, oats, soybeans, trees, and wheat.

221 features

Class (target)nominal8 unique values
0 missing
0numeric455 unique values
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1numeric476 unique values
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2numeric779 unique values
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3numeric692 unique values
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0 missing
Show first 100 features

62 properties

NumberOfInstances
9144
Number of instances (rows) of the dataset.
NumberOfFeatures
221
Number of attributes (columns) of the dataset.
NumberOfClasses
8
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
220
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MeanSkewnessOfNumericAtts
-0.35
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
2049.13
Second quartile (Median) of means among attributes of the numeric type.
MajorityClassPercentage
44.29
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
292.13
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassSize
4050
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
-0.4
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-0.84
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
199.51
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
0.74
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
1004.29
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
5988.66
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
0.12
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
8
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
99.55
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
4164.4
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
8
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
0.45
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
0.97
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
5.95
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
0.07
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1017.16
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
0.22
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-0.61
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
481.79
Third quartile of standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
20
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
1205.18
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
MeanKurtosisOfNumericAtts
-0.24
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
2596.07
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-0.92
First quartile of skewness among attributes of the numeric type.
AutoCorrelation
1
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
81.57
First quartile of standard deviation of attributes of the numeric type.
ClassEntropy
2.08
Entropy of the target attribute values.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
8
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
-0.43
Second quartile (Median) of kurtosis among attributes of the numeric type.
Show all 62 properties

11 tasks

Supervised Classification on Indian_pines
0 runs - estimation_procedure: 10% Holdout set - target_feature: Class
Supervised Classification on Indian_pines
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Supervised Classification on Indian_pines
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
Clustering on Indian_pines
0 runs - estimation_procedure: 50 times Clustering
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