Questions tagged [testing]

For questions related to the concept of testing (or evaluating) machine learning models and algorithms, e.g. in terms of some performance measure (such as accuracy or cumulative reward).

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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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What is the amount of test data needed to evaluate a CNN?

I have an image dataset of about 400 images. 70% of these data points were used for training, 15% for validation, and 15% for testing. I am using the 70% to train a CNN-based binary classifier. I ...
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How to do reference-free evaluation for speech?

The outliers in speech include three types: syntax errors, semantic errors, and errors in pragmatics. I wonder if we can borrow the techniques from computer vision (CV) to tackle that, such as ...
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Strange behavior of Q-learning agent after being trained

I built a simple X*Y grid world environment to learn and then trained my agent over it. All worked fine and the agent learned as well. Let me give some detail about the environment. Environment: A ...