Below you see two columns coming from a classification problem. The first column is the predicted value, the second is the real value. A value of 1 stands for positive/yes, and 0 means negative or no.

1) Which performance metrics will you choose if we dont have any information about what is the dataset about?

2) Is the dataset balanced or imbalanced. Predicted Values Real Values 0 0 1 1 0 0 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0 1 1 1 0 0 1 1 0 0 0 1 0 0 1 1 1 1 0 0 1 1 0 0 1 1 1 0 1 1 0 0 0 0 1 1 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 0 0 1 1 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 1 1 1 0 1 1 0 0 1 1 0 0 0 0 1 0 0 0 1 1 1 0 1 1 0 0 1 1 0 1 1 1 1 0 1 1 0 0 1 1