
# Dataset Card for Online Shoppers Purchasing Intention Dataset

## Dataset Description

- **Homepage**: https://archive-beta.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset 

### Dataset Summary

This dataset is a reupload of the Online Shoppers Purchasing Intention Dataset from the [UCI Machine Learning Repository](https://archive-beta.ics.uci.edu/).

> **NOTE:** The information below is from the original dataset description from UCI's website.
>
> ### Overview
>
> Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping,
> and the rest (1908) were positive class samples ending with shopping.
>
> #### Additional Information
>
> The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that 
> each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, 
> special day, user profile, or period.






task_categories:tabular-classification size_categories:10K<n<100K language:en license:cc-by-4.0 region:us
{"language": ["en"], "license": "cc-by-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["tabular-classification"], "pretty_name": "Online Shoppers Purchasing Intention Dataset", "dataset_info": {"features": [{"name": "Administrative", "dtype": "int64"}, {"name": "Administrative_Duration", "dtype": "float64"}, {"name": "Informational", "dtype": "int64"}, {"name": "Informational_Duration", "dtype": "float64"}, {"name": "ProductRelated", "dtype": "int64"}, {"name": "ProductRelated_Duration", "dtype": "float64"}, {"name": "BounceRates", "dtype": "float64"}, {"name": "ExitRates", "dtype": "float64"}, {"name": "PageValues", "dtype": "float64"}, {"name": "SpecialDay", "dtype": "float64"}, {"name": "Month", "dtype": "string"}, {"name": "OperatingSystems", "dtype": "int64"}, {"name": "Browser", "dtype": "int64"}, {"name": "Region", "dtype": "int64"}, {"name": "TrafficType", "dtype": "int64"}, {"name": "VisitorType", "dtype": "string"}, {"name": "Weekend", "dtype": "bool"}, {"name": "Revenue", "dtype": {"class_label": {"names": {"0": "False", "1": "True"}}}}], "splits": [{"name": "train", "num_bytes": 1815486, "num_examples": 12330}], "download_size": 425014, "dataset_size": 1815486}}
TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us 


# Dataset Card for Online Shoppers Purchasing Intention Dataset

## Dataset Description

- Homepage: URL 

### Dataset Summary

This dataset is a reupload of the Online Shoppers Purchasing Intention Dataset from the UCI Machine Learning Repository.

> NOTE: The information below is from the original dataset description from UCI's website.
>
> ### Overview
>
> Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping,
> and the rest (1908) were positive class samples ending with shopping.
>
> #### Additional Information
>
> The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that 
> each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, 
> special day, user profile, or period.






# Dataset Card for Online Shoppers Purchasing Intention Dataset ## Dataset Description

- Homepage: URL ### Dataset Summary

This dataset is a reupload of the Online Shoppers Purchasing Intention Dataset from the UCI Machine Learning Repository.

> NOTE: The information below is from the original dataset description from UCI's website.
>
> ### Overview
>
> Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping,
> and the rest (1908) were positive class samples ending with shopping.
>
> #### Additional Information
>
> The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that 
> each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, 
> special day, user profile, or period.
TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us 
 # Dataset Card for Online Shoppers Purchasing Intention Dataset ## Dataset Description

- Homepage: URL ### Dataset Summary

This dataset is a reupload of the Online Shoppers Purchasing Intention Dataset from the UCI Machine Learning Repository.

> NOTE: The information below is from the original dataset description from UCI's website.
>
> ### Overview
>
> Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping,
> and the rest (1908) were positive class samples ending with shopping.
>
> #### Additional Information
>
> The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that 
> each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, 
> special day, user profile, or period.
passage: TAGS
#task_categories-tabular-classification #size_categories-10K<n<100K #language-English #license-cc-by-4.0 #region-us 
# Dataset Card for Online Shoppers Purchasing Intention Dataset## Dataset Description

- Homepage: URL### Dataset Summary

This dataset is a reupload of the Online Shoppers Purchasing Intention Dataset from the UCI Machine Learning Repository.

> NOTE: The information below is from the original dataset description from UCI's website.
>
> ### Overview
>
> Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping,
> and the rest (1908) were positive class samples ending with shopping.
>
> #### Additional Information
>
> The dataset consists of feature vectors belonging to 12,330 sessions. The dataset was formed so that 
> each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, 
> special day, user profile, or period.