RMSE.L

Compute the lower boundary root-mean-square error.

lower

root-mean-square

Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for  a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.

Oldemar Rodriguez

RSDA

R to Symbolic Data Analysis

Jose Emmanuel Chacon

Carlos Aguero

Jorge Arce

RMSE.L function

<dl><dt>ref</dt>
<dd>Variable that was predicted.</dd>
<dt>pred</dt>
<dd>The prediction given by the model.</dd></dl>

Arguments

Author

Lower boundary root-mean-square error — RMSE.L

<dl>

<dt>ref</dt>
<dd>Variable that was predicted.</dd>


<dt>pred</dt>
<dd>The prediction given by the model.</dd>

</dl>

RMSE.L: Lower boundary root-mean-square error

Description

Usage

Value

Arguments

Author

References

See Also