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---
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.