Which scoring for GridSearchCV is best, when imbalanced multiclass dataset?

datascience.stackexchange https://datascience.stackexchange.com/questions/61747

Pergunta

I have an unbalanced multiclass dataset (GTSRB) and want to optimize the hyperparameters of an SVM through GridSearchCV. I know that accuracy is not suitable for scoring in this case. Which evaluation method for scoring would be most appropriate in this case?

At the moment I tend between the following: - f1_score (average='macro') - cohen_kappa_score

What are your experiences in such cases?

Nenhuma solução correta

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