vowel.test: Vowel Recognition (Deterding data)

In ElemStatLearn: Data Sets, Functions and Examples from the Book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Description

Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios.

Usage

data(vowel.test)

Format

A data frame with 462 observations on the following 11 variables.

y

a numeric vector

x.1

a numeric vector

x.2

a numeric vector

x.3

a numeric vector

x.4

a numeric vector

x.5

a numeric vector

x.6

a numeric vector

x.7

a numeric vector

x.8

a numeric vector

x.9

a numeric vector

x.10

a numeric vector

Details

See the Details section of the help file for vowel.train.

Source

David Deterding (data and non-connectionist analysis) Mahesan Niranjan (first connectionist analysis) Tony Robinson (description, program, data, and results)

References

[e-mail]

Examples

str(vowel.test)

Example output

'data.frame':	462 obs. of  11 variables:
 $ y   : int  1 2 3 4 5 6 7 8 9 10 ...
 $ x.1 : num  -1.15 -2.61 -2.5 -1.77 -2.67 ...
 $ x.2 : num  -0.904 -0.092 0.632 1.769 3.155 ...
 $ x.3 : num  -1.988 -0.54 -0.593 -1.142 -0.514 ...
 $ x.4 : num  0.739 0.484 0.304 -0.739 0.133 ...
 $ x.5 : num  -0.06 0.389 0.496 -0.086 -0.964 ...
 $ x.6 : num  1.206 1.741 0.824 0.12 0.234 ...
 $ x.7 : num  0.864 0.198 -0.162 -0.23 -0.071 -0.496 -1.11 -0.322 -0.751 -0.484 ...
 $ x.8 : num  1.196 0.257 0.181 0.217 1.192 ...
 $ x.9 : num  -0.3 -0.375 -0.363 -0.009 0.254 0.638 0.42 0.653 0.309 -0.246 ...
 $ x.10: num  -0.467 -0.604 -0.764 -0.279 -0.471 ...

ElemStatLearn documentation built on Aug. 12, 2019, 9:04 a.m.