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test4

test4

active ARFF Public Domain (CC0) Visibility: public Uploaded 02-10-2020 by Dr.Jagruti Shah
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testing temperature and ph

8 features

temperaturenumeric6 unique values
0 missing
pHnumeric3 unique values
0 missing
conductivitynumeric19 unique values
0 missing
bodnumeric14 unique values
0 missing
faecialcolinumeric9 unique values
0 missing
totalcolinumeric11 unique values
0 missing
nitratenumeric19 unique values
0 missing
classnominal2 unique values
0 missing
Show all 8 features

19 properties

NumberOfInstances
26
Number of instances (rows) of the dataset.
NumberOfFeatures
8
Number of attributes (columns) of the dataset.
NumberOfClasses
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
7
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0.31
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
87.5
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
12.5
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
12.5
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

5 tasks

Supervised Classification on test4
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
Learning Curve on test4
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on test4
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on test4
0 runs - estimation_procedure: 50 times Clustering
Clustering on test4
0 runs - estimation_procedure: 50 times Clustering
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