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In data science, accuracy is a measurement used to determine which model is best at describing the underlying patterns of a dataset.
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Multiclass classification on imbalanced dataset : Accuracy or micro F1 or macro F1
I know that accuracy is not a good metric to use in this case because one can simply predict the high frequent class and get a good score. … So, the whole idea of looking into alternative metric (i.e. micro F1) instead of accuracy has gone full circle.
Should I be using macro F1 instead? …