Data
online_shoppers

online_shoppers

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Young Lee
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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

19 properties

12330
Number of instances (rows) of the dataset.
18
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
4
Number of numeric attributes.
14
Number of nominal attributes.
10422
Number of instances belonging to the most frequent class.
15.47
Percentage of instances belonging to the least frequent class.
1908
Number of instances belonging to the least frequent class.
2
Number of binary attributes.
11.11
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.74
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
22.22
Percentage of numeric attributes.
84.53
Percentage of instances belonging to the most frequent class.
77.78
Percentage of nominal attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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