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classifier accuracy

classifier accuracy

Classification Accuracy. Classification accuracy is simply the rate of correct classifications, either for an independent test set, or using some variation of the cross-validation idea. From: Statistical Shape and Deformation Analysis, 2017. Related terms: Brain-Computer Interface; Feature Extraction; Convolutional Neural Networks; Random Forest

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