Questions tagged [validation-datasets]
For questions related to validation datasets, which are used for hyper-parameter optimization, early stopping or cross-validation. They are sometimes referred to as held-out datasets, but this latter term could also be used to refer to test datasets (i.e. the datasets used to assess the generalisation of the model).
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how to decide the optimum model?
I have split the database available into 70% training, 15% validation, and 15% test, using holdout validation. I have trained the model and got the following results: training accuracy 100%, ...
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Correct way for validation split in semi-supervised learning
I have a fully labeled Human Activity Recognition dataset from 9 participants. I am using one participant for the test set, and for the training, I use one participant as a labeled set and the rest as ...
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Why not make the training set and validation set one if their roles are similar?
If the validation set is used to tune the hyperparameters and the training set adjusts the weights, why don't they be one thing as they have a similar role, as in improving the model?
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Are the held-out datasets used for testing, validation or both?
I came across a new term "held-out corpora" and I confused regarding its usage in the NLP domain
Consider the following three paragraphs from N-gram Language Models
#1: held-out corpora as a ...
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1answer
59 views
What is the theoretical basis for the use of a validation set?
Let's say we use an MLE estimator (implementation doesn't matter) and we have a training set. We assume that we have sampled the training set from a Gaussian distribution $\mathcal N(\mu, \sigma^2)$.
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What is the difference between validation percentage and batch size?
I'm doing transfer learning using Inception on Tensorflow. The code that I used for training is https://raw.githubusercontent.com/tensorflow/hub/master/examples/image_retraining/retrain.py
If you take ...
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1answer
454 views
How to perform PCA in the validation/test set?
I was using PCA on my whole dataset (and, after that, I would split it into training, validation, and test datasets). However, after a little bit of research, I found out that this is the wrong way to ...
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What are "development test sets" used for?
This is a theoretical question. I am a newbie to artificial intelligence and machine learning, and the more I read the more I like this. So far, I have been reading about the evaluation of language ...
