auto: Automobile Data Set

In MixtureMissing: Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random

Automobile Data Set

Description

This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. The second rating corresponds to the degree to which the auto is more risky than its price indicates. Cars are initially assigned a risk factor symbol associated with its price. Then, if it is more risky (or less), this symbol is adjusted by moving it up (or down) the scale. Actuarians call this process "symboling". A value of +3 indicates that the auto is risky, -3 that it is probably pretty safe.

Usage

auto

Format

A data frame with 205 rows and 26 variables. The first 15 variables are continuous, while the last 11 variables are categorical. There are 45 rows with missing values.

normalized_losses

continuous from 65 to 256.

wheel_base

continuous from 86.6 120.9.

length

continuous from 141.1 to 208.1.

width

continuous from 60.3 to 72.3.

height

continuous from 47.8 to 59.8.

curb_weight

continuous from 1488 to 4066.

engine_size

continuous from 61 to 326.

bore

continuous from 2.54 to 3.94.

stroke

continuous from 2.07 to 4.17.

compression_ratio

continuous from 7 to 23.

horsepower

continuous from 48 to 288.

peak_rpm

continuous from 4150 to 6600.

city_mpg

continuous from 13 to 49.

highway_mpg

continuous from 16 to 54.

price

continuous from 5118 to 45400.

symboling

-3, -2, -1, 0, 1, 2, 3.

make

alfa-romero, audi, bmw, chevrolet, dodge, honda, isuzu, jaguar, mazda, mercedes-benz, mercury, mitsubishi, nissan, peugot, plymouth, porsche, renault, saab, subaru, toyota, volkswagen, volvo

fuel_type

diesel, gas.

aspiration

std, turbo.

num_doors

four, two.

body_style

hardtop, wagon, sedan, hatchback, convertible.

drive_wheels

4wd, fwd, rwd.

engine_location

front, rear.

engine_type

dohc, dohcv, l, ohc, ohcf, ohcv, rotor.

num_cylinders

eight, five, four, six, three, twelve, two.

fuel_system

1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi.

Source

Kibler, D., Aha, D.W., & Albert,M. (1989). Instance-based prediction of real-valued attributes. Computational Intelligence, Vol 5, 51–57. https://archive.ics.uci.edu/ml/datasets/automobile

MixtureMissing documentation built on Oct. 16, 2024, 1:09 a.m.