Datasets:
metadata
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
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.