EX6.CLICK: CLICK data for Exercise 2 in Chapter 6

In profpetrie/regclass: Tools for an Introductory Class in Regression and Modeling

Description

CLICK data for Exercise 2 in Chapter 6

Usage

data("EX6.CLICK")

Format

A data frame with 13594 observations on the following 15 variables.

Click

a factor with levels No Yes

BannerPosition

a factor with levels Pos1 Pos2, location of ad

SiteID

a factor with levels S1 S2 S3 S4 S5 S6 S7 S8

SiteDomain

a factor with levels SD1 SD2 SD3 SD4 SD5 SD6 SD7 SD8

SiteCategory

a factor with levels SCat1 SCat2 SCat3 SCat4 SCat5

AppDomain

a factor with levels AD1 AD2 AD3

AppCategory

a factor with levels AC1 AC2

DeviceModel

a factor with levels D1 D10 D11 D12 D13 D14 D15 D16 D17 D18 D2 D3 D4 D5 D6 D7 D8 D9

x1

a numeric vector

x2

a factor with levels A B C D E F G H I J K L M N O P Q R

x3

a factor with levels a b c d e f

x4

a factor with levels val1 val2 val3

x5

a factor with levels type1 type2 type3 type4

x6

a factor with levels class1 class2 class3 class4

x7

a factor with levels AA BB CC DD EE

Details

Inspired from a competition to predict the click-thru rates of ads displayed on mobile devices https://www.kaggle.com/c/avazu-ctr-prediction. Does the click-thru rate vary based on where the ad placed, what kind of site and device is used to view the ad, something else? All variables are anonymized.

profpetrie/regclass documentation built on May 26, 2019, 8:33 a.m.