I'm using sklearn's confusion_matrix and classification_report methods to compute the confusion matrix and F1-Score of a simple multiclass classification project I'm doing.

For some classes the F1-Score that I'm getting is higher than the accuracy and this seems strange to me. Is it possible or am I doing something wrong?


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