Datasets:
File size: 2,034 Bytes
93fe02a 8cb8d78 93fe02a 8cb8d78 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
---
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: bool
splits:
- name: train
num_bytes: 1718388
num_examples: 12330
download_size: 422794
dataset_size: 1718388
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.
|