Re: Categorical Analysis
- From: "Phil Sherrod" <phil.sherrod@xxxxxxxxxxxxxxxxxxx>
- Date: Sun, 11 Dec 2005 02:18:57 GMT
On 10-Dec-2005, "kalyan" <mkalyan79@xxxxxxxxx> wrote:
> As in case of numeric data we have mean and covariance. How does this
> map to categorical data. Does categorical data have a mean ( or it is
> really the mode) and what in case of covariance.
Usually, categorical data is just described using frequency/percent for each
category. In the case of predictive models, accuracy is usually measured from
the misclassification rate and true-positive/false-positive,
true-negative/false-negative rates commonly presented in a "confusion matrix".
For binary categorical data there are other measures such as ROC and AUC.
--
Phil Sherrod
(phil.sherrod 'at' sandh.com)
http://www.dtreg.com (decision tree and SVM modeling)
http://www.nlreg.com (nonlinear regression)
.
- References:
- Categorical Analysis
- From: kalyan
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