Improving Neural Network classification accuracy
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I'm trying to classify images using NN classifier available in Matlab R2019a.
I have 1800 images into 3 classes (Hard, Semi, Soft).
I have 68 features (descriptors).
When I classify into 2 classes (hard or soft): I get 93% accuracy
When I classify into 3 classes (hard -- semi -- soft): I get 75% accuracy
Question is: how to improve the accuracy for the 3 classes model?
Any ideas?
P.S. I can always send a sample data file if needed.
1 Kommentar
Mohammad Sami
am 28 Jan. 2020
You will need to try various NN models, to try and improve your accuracy.
Also try all the models in the classification learner app.
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