Consider the binary classification task of predicting whether a generator is "Faulty" or "Good". Towards this extend an AdaBoost model was constructed using three models. Given a new generator we want to calculate whether the generator is faulty or good. Is the new generator "Faulty" or "Good", based on the following information?

• When creating the model, we assigned the values -1 to the label "Faulty", and the 1 to the label "Good"
• Each individual model predicted the following values: Model 1: 1, Model 2: 1, Model 3: -1
• The voting weight for each model is as follows: Model 1: 0.25, Model 2: 0.30, Model 3: 0.45