How do you describe the architecture and dataset of the following

Dataset Information:

The dataset contains data points of $12,330$ customer session visits to the website. The dataset was designed so that every single session would fit in a different user in a $1-$year gap to avoid any trend to a particular day, precise campaign, user profile, or specific period $($Sahu$,2021).$

Attribute Information:

The dataset entails of ten $(10)$ numerical and eight $(8)$ categorical attributes.

Revenue: Class level. Possible values: False and True.

Administrative, Administrative Duration: Represent the administrative pages stop at by the visitor in that session and the total time spent in each of this page category.

Informational, Informational Duration: Represent the information related pages visited by the visitor in that session and total time spent in each of this page category.

Product Related and Product Related Duration: Represent the product related pages visited by the visitor in that session and total time spent in each of this page category.

Bounce Rate denotes to the percentage of visitors who enter the site from that page and then leave without activating any other requests to the analytics server during that session.

Exit Rate portrays the percentage of exits on a page.

Page Value part signifies the average value for a web page that a user visited before finalising an e$-$commerce transaction.

Special Day part shows the closeness of the site visiting time to a precise special day $($Sahu$,2021).$

The dataset also comprises of some other structures such as browser, operating system, region, traffic type, visitor type as returning or new visitor, a Boolean value representing whether the date of the visit is month and weekend of the year.