Data
online_shoppers

online_shoppers

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
The dataset consists of feature vectors belonging to 12,330 sessions.The dataset was formed so that each sessionwould belong to a different user in a 1-year period to avoidany tendency to a specific campaign, special day, userprofile, or period.Source: https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset

18 features

class (target)nominal2 unique values
0 missing
BounceRatesnumeric1872 unique values
0 missing
ExitRatesnumeric4777 unique values
0 missing
PageValuesnumeric2704 unique values
0 missing
SpecialDaynumeric6 unique values
0 missing
Browsernominal13 unique values
0 missing
OperatingSystemsnominal8 unique values
0 missing
VisitorTypenominal3 unique values
0 missing
Administrative_Durationnominal3335 unique values
0 missing
Monthnominal10 unique values
0 missing
Regionnominal9 unique values
0 missing
ProductRelatednominal311 unique values
0 missing
ProductRelated_Durationnominal9551 unique values
0 missing
Informationalnominal17 unique values
0 missing
TrafficTypenominal20 unique values
0 missing
Informational_Durationnominal1258 unique values
0 missing
Weekendnominal2 unique values
0 missing
Administrativenominal27 unique values
0 missing
Show all 18 features

19 properties

NumberOfInstances
12330
Number of instances (rows) of the dataset.
NumberOfFeatures
18
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
4
Number of numeric attributes.
NumberOfSymbolicFeatures
14
Number of nominal attributes.
PercentageOfBinaryFeatures
11.11
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.74
Average class difference between consecutive instances.
PercentageOfNumericFeatures
22.22
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
77.78
Percentage of nominal attributes.
MajorityClassPercentage
84.53
Percentage of instances belonging to the most frequent class.
MajorityClassSize
10422
Number of instances belonging to the most frequent class.
MinorityClassPercentage
15.47
Percentage of instances belonging to the least frequent class.
MinorityClassSize
1908
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
2
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on online_shoppers
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Define a new task