Artificial Intelligence, Data Science, Machine Learning, Technology, Algorithms.
should avoid: Metrics to Avoid Accuracy: In an imbalanced dataset, accuracy can be high simply because the model is good at predicting the majority class. For example, if 95% of transactions are non-fraudulent, a model that always predicts non-fraudulent will be 95% accurate but useless for