Common Testing Issues

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Below are common things to look for while test different types of models. These can be viewed in PerceptiLabs' Evaluate View.
Classification Testing
Confusion matrix: if the confusion matrix shows that classes are mixed up, try building a more complex model.
Table: look closely at Precision and Recall. Also, if the test accuracy is a lot worse than it is for training and validation, the model is likely overfitting.
Segmentation Testing
Image: see Segmentation Training.
Table: if test Dice is a lot worse than it is training and validation, the model is likely overfitting.

Last modified 1yr ago