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churn-uplift-orange

churn-uplift-orange

active ARFF CC BY-NC-ND Visibility: public Uploaded 06-07-2023 by Troy
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Anonymized dataset of churn and uplift modeling from a 2020 marketing campaign by Orange Belgium

180 features

y (target)numeric2 unique values
0 missing
PC1numeric11896 unique values
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PC2numeric11896 unique values
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PC51numeric11896 unique values
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PC77numeric11896 unique values
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PC82numeric11896 unique values
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PC89numeric11896 unique values
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PC90numeric11896 unique values
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PC92numeric11896 unique values
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PC93numeric11896 unique values
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PC94numeric11896 unique values
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PC95numeric11896 unique values
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PC102numeric11896 unique values
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PC103numeric11896 unique values
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PC104numeric11896 unique values
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PC105numeric11896 unique values
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PC106numeric11896 unique values
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PC107numeric11896 unique values
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PC108numeric11896 unique values
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PC109numeric11896 unique values
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PC110numeric11896 unique values
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PC111numeric11896 unique values
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PC117numeric11896 unique values
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PC118numeric11896 unique values
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PC120numeric11896 unique values
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PC129numeric11896 unique values
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PC130numeric11896 unique values
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PC136numeric11896 unique values
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PC151numeric11896 unique values
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PC158numeric11896 unique values
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PC160numeric11896 unique values
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FACTOR1string18 unique values
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FACTOR2string12 unique values
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FACTOR3string1 unique values
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FACTOR4string20 unique values
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FACTOR5string4 unique values
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FACTOR6string20 unique values
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FACTOR7string3 unique values
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FACTOR8string2 unique values
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FACTOR9string4 unique values
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FACTOR10string4 unique values
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FACTOR11string3 unique values
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FACTOR12string3 unique values
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FACTOR13string12 unique values
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FACTOR14string20 unique values
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FACTOR15string20 unique values
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FACTOR16string17 unique values
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FACTOR17string6 unique values
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FACTOR18string7 unique values
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tnumeric2 unique values
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Show first 100 features

19 properties

NumberOfInstances
11896
Number of instances (rows) of the dataset.
NumberOfFeatures
180
Number of attributes (columns) of the dataset.
NumberOfClasses
0
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
162
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
0.93
Average class difference between consecutive instances.
PercentageOfNumericFeatures
90
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0.02
Number of attributes divided by the number of instances.
Show all 19 properties

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