Re: Limit number of instances when using "Supplied test set"

That might be a bug. If you are able to share the data with me, I can take
a look at it.

Cheers,
Eibe

On Sun, Sep 5, 2021 at 6:14 PM <[email protected]> wrote:

> I can read the test data in Preprocess. Actually, I used dataset 1 (4,997
> instances) as training and test on dataset 2 (3,097 instances) and vice
> versa, both training use the random forest and generate a model
> successfully. Then I use the model to re-evaluate the other dataset, and
> both only test the first 114 instances. When I perform re-evaluating, I got
> the error- "Data used to training model and test set are not
> compatible...", though both datasets have exact same variables with 1 class
> column at the end. I'm not sure if this is the case cause part of the test
> dataset missing.
>
> I attached the attributes mapping result:
>
> Model attributes                    Incoming attributes
> -----------------------------       ----------------
> (nominal) wt                 --> 1 (nominal) wt
> (numeric) position              --> 2 (numeric) position
> (nominal) sub                   --> 3 (nominal) sub
> (numeric) residual              --> 4 (numeric) residual
> (numeric) ep1                   --> 5 (numeric) ep1
> (numeric) dist1                 --> 6 (numeric) dist1
> (nominal) aa1                   --> 7 (nominal) aa1
> (numeric) ep2                   --> 8 (numeric) ep2
> (numeric) dist2                 --> 9 (numeric) dist2
> (nominal) aa2                   --> 10 (nominal) aa2
> (numeric) ep3                   --> 11 (numeric) ep3
> (numeric) dist3                 --> 12 (numeric) dist3
> (nominal) aa3                   --> 13 (nominal) aa3
> (numeric) ep4                   --> 14 (numeric) ep4
> (numeric) dist4                 --> 15 (numeric) dist4
> (nominal) aa4                   --> 16 (nominal) aa4
> (numeric) ep5                   --> 17 (numeric) ep5
> (numeric) dist5                 --> 18 (numeric) dist5
> (nominal) aa5                   --> 19 (nominal) aa5
> (numeric) ep6                   --> 20 (numeric) ep6
> (numeric) dist6                 --> 21 (numeric) dist6
> (nominal) aa6                   --> 22 (nominal) aa6
> (numeric) vol                   --> 23 (numeric) vol
> (numeric) sT                    --> 24 (numeric) sT
> (nominal) loc                   --> 25 (nominal) loc
> (numeric) num                   --> 26 (numeric) num
> (nominal) secstr                --> 27 (nominal) secstr
> (nominal) exp_fitness_class     --> 28 (nominal) exp_fitness_class
>
> Thanks,
> Shengyuan
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