True or False a) Given a linear classifier that classifies between good and bad sentiment in an evaluation, z, and Score(z) = 0, then the evaluation has a bad sentiment. b) Given a linear classifier that classifies between good and bad sentiment in an evaluation, z, and Score(z) = 0, it is not clear whether the evaluation had a good or bad sentiment. c) Given a linear classifier that classifies between good and bad sentiment in an evaluation, z, and Score(z) = 0, the given model is overfitting d) Given a linear classifier that classifies between good and bad sentiment in an evaluation, z, and Score(z) = 0, the GD algorithm did not converge. This means that the current linear classifier needs to be retrained