Question/Issue: We are trying to classify the health state of lemon leaves using a dataset of 5 input features. However, we are getting a precision score of 0.0%, even when using different models. We are not sure if the problem is with the dataset or with our approach.
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Not a lot of detail here in the question, but I can see you are trying to run FOMO and want to achieve classification, try following the steps in this project:
Best
Eoin
If possible make your EdgeImpulse project public so I can clone it. I would like to look at your Training Dataset before advising further.
