Re: Adding outliers to our data

Thank you Eibe for this.

I will try this expression and I hope it will work.

Best regards

On Tue, Jun 8, 2021 at 2:23 PM Eibe Frank <[email protected]> wrote:

> 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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