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) Calculate accuracy, precision, recall, and f1-score.

2) Is the dataset balanced or imbalanced.

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