Re: Adding outliers to our data

You can probably do this using an undocumented(?) feature of
MathExpression. The expression language used in MathExpression (and
AddExpression) supports calling static Java methods as part of the
expression (which actually makes the NumericTransform filter in WEKA
redundant). For example, to add uniform noise +/- 0.5 to your numeric
target, assuming it is the last attribute in your data, you can use

weka.filters.unsupervised.attribute.MathExpression -E
"A-0.5+java(\'java.lang.Math\', \'double random()\')" -V -R last
-unset-class-temporarily

Note that the expression language also supports conditional statements, so
you can do pretty sophisticated things with it.

Cheers,
Eibe

On Tue, Jun 8, 2021 at 10:03 PM javed khan <[email protected]> wrote:

> Good day to everyone
>
> My question is if it is possible we can add outliers to our
> regression-based data using Weka explorer?
>
> There are indeed some outliers already in my data, but I want some ranges
> of the outliers i.e. 20%, 40%, 70% and 100% differences from the original
> data.
>
> Best regards
> Javed
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