Question $15$

Regarding data and decision boundary visualization versus accuracy, confusing matrix and AUC, which statement would you choose as true:

We should not visualize the data and the decision boundary of the classifier because the decision boundary is not related to the performance of the classifier We should always visualize the data and the decision boundary of the classifier in order to understand what the model is learning

We can't visualize the data and the decision boundary when the data is high dimensional, but we should visualize them when we can because visualizations contain more information than accuracy, confus We should not visualize the data and the decision boundary of the classifier because the information in visualization is contained in the accuracy, confusion matrix and AUC