STT-MTJ
![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/artificial-intelligence-3382521_1920.jpg?itok=Vz0tijaY)
Two thousand MTJ samples in total were included in the dataset for analysis; First, shuffle the dataset randomly to eliminate bias, then split it into ten equal folds of 200 samples each. For each iteration of cross-validation, use nine folds for training and one for testing, rotating the test fold across all ten groups so that every sample is tested once.
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