ML Pipeline

[Ritaman_Baral]

In Pipeline there are three options

1. Training set
2. Evaluation set
3. Full train

Someone please explain me at which scenario which one to choose.
Please dont copy paste from UiPath docs

[fernando_zuluaga]

Hi @Ritaman_Baral

1. It will help us to train the dataset, we will need a subset to train the main dataset, It helps the model learn patterns and features from the provided data, allowing it to make predictions and classifications. You should choose this one to fine-tune your model
2. The evaluation set is used to test the performance and accuracy of your trained models, basically this helps you understand how well your model performs on new, unseen data. You should choose this when you want to test your model
3. is a combination of the above methods, this is useful when you want to use all available labeled data for training and then validate its performance on the same data.

Hope this helps

Regards!