task_categories:tabular-classification size_categories:10K<n<100K language:en license:cc-by-4.0 region:us
---
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
license: cc-by-4.0
task_categories:
- tabular-classification
language:
- en
pretty_name: Online Shoppers Purchasing Intention Dataset
size_categories:
- 10K<n<100K
---

# 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.





