Data
product-relevance

product-relevance

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context The "goal" for this dataset is to predict how relevant each product are to each customer, to ensure that future recommendations and sales are relevant to the customer. Content This database contains 22 attributes, which are some of the most common attributes collected when a company sells a product to a customer.

21 features

user-idstring3754 unique values
0 missing
user-agenumeric52 unique values
0 missing
user-genderstring2 unique values
0 missing
user-nationalitystring2 unique values
0 missing
user-knowledgestring3 unique values
0 missing
user-loyaltystring3 unique values
0 missing
user-loanstring2 unique values
0 missing
user-incomenumeric3298 unique values
0 missing
user-savingsnumeric3702 unique values
0 missing
user-propertiesnumeric10 unique values
0 missing
user-riskAversionstring2 unique values
0 missing
user-maritalstring3 unique values
0 missing
user-dependentsnumeric10 unique values
0 missing
user-pensionnumeric3719 unique values
0 missing
product-typestring3 unique values
0 missing
product-riskstring3 unique values
0 missing
product-termnumeric5 unique values
0 missing
product-yieldstring3 unique values
0 missing
transaction-id (ignore)string11385 unique values
0 missing
yearnumeric5 unique values
0 missing
monthnumeric12 unique values
0 missing
scorenumeric10456 unique values
0 missing
Show all 21 features

19 properties

NumberOfInstances
11385
Number of instances (rows) of the dataset.
NumberOfFeatures
21
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
10
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
47.62
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
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
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
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

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