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Uploaded 11-02-2024 by
Iwo Godzwon
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Predicting forest cover ...
4 features
Place
(target)
string
2 unique values
0 missing
Product
string
5 unique values
0 missing
Stock
numeric
73500 unique values
0 missing
Price
numeric
73503 unique values
0 missing
Show all 4 features
19 properties
NumberOfInstances
73503
Number of instances (rows) of the dataset.
NumberOfFeatures
4
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
2
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
50
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
62.27
Percentage of instances belonging to the most frequent class.
MajorityClassSize
45770
Number of instances belonging to the most frequent class.
MinorityClassPercentage
37.73
Percentage of instances belonging to the least frequent class.
MinorityClassSize
27733
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties
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