Questions tagged [test-datasets]

For questions related to test (or testing) datasets in the context of machine learning. A test dataset is any dataset that is not used for training the model but just to evaluate it, in particular, its ability to generalize to unseen data.

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Why does the SVM perform poorly on test data that has a different class distribution than the training data?

Do you know why the SVM performs poorly on test data that has a different class distribution than the training data? The training data has around 15 classes, and the additional testing data has around ...
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Is there a way, while training (with contrastive learning) the embedding network, to find the test accuracy?

I aim to do action recognition in videos on a private dataset. To compare with the existing state-of-the-art implementations, other guys published their code on Github, like the one here (for the ...
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Wouldn't training the model with this data lead to inaccuracies since the testing data would not be normalized in a similar way?

I was trying to normalize my input data images for feeding to my convolutional neural network and wanted to use standardize my input data. I referred to this post, which says that ...
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Why doesn't U-Net work with images different from the dataset?

I have implemented a U-Net, similar to this implementation, but for a different dataset, this one, to segment roads. It works fine using the test folder images, but, for example, when I pick a print ...
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Why is the WMT16 dataset favoured for evaluating machine translation models?

The Workshop on Statistical Machine Translation has released translation challenges each year from 2004 on, which feature a dataset of sentence pairs in a variety of languages. Even though the ...
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