You have two classes of 1 and -1 and you run AdaBoost with a logistic regression base classifier for three iterations. After doing so, you have three logistic regression models  which achieve weighted errors respectively. For a new test point, the predictions of your three models are respectively. What is the prediction of your boosted model when you use a threshold of 0.6 for the base models?