Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 11 months ago

MODERATORS

communick@academy.garden

[R] Is validation data used to train the model? (alien.top)

submitted 10 months ago by K_DOTES@alien.top to c/machinelearning@academy.garden

1 comments fedilink hide all child comments

Hi everyone

I'm a newbie in machine learning and I have a question. Is validation data used to train the model?

I know training data is used to train the model. And I read validation data is used to test the model during the training phase. But I am curious if validation data is also used for training.

If I had 10000 items in the dataset. And I split it into 7000 for training, 2000 for testing and 1000 for validation. In this case, 7000 items will be used to train the model (using training set only)? Or 8000 items will be used to train the model (using training set + validation set)?

top 1 comments

sorted by: hot top controversial new old

[–] rejectedlesbian@alien.top 1 points 10 months ago

if u don't have a test dataset than absolutely no.

sometimes people do split test/validation/train and then the validation dataset can be used for meta learning.