Hi,
How can I test a model (e.g. Random Forest) generated from training dataset to a testing (or new) dataset correctly?
Solved! Go to Solution.
Hi @muhalim ,
You have 2 tools developed by Alteryx and you can download from Alteryx gallery.
You can connect your test set and your model and check the outputs from both tools to have a better idea of what model to use or how well your model is doing against your test data.
Cross validation
https://gallery.alteryx.com/#!app/Cross-Validation-Tool/5d9267cc8a933711e4473950
Model comparison tool
https://gallery.alteryx.com/#!app/Model-Comparison/5d92741a826fd30b84537a27
Best,
Fernando Vizcaino
You can use Score tool to test the model with new dataset
Hey @muhalim,
You can get the output of training or testing input data using the score tool as shown below.
@huynv96 is also right but D input of score tool must be connected to Data and M input of score tool must be connected to O output of the Model.
Do let me know if you have any other doubt.
Warm Regards,
Diksha Adtani
Thank you all
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