Suppose you have a following trained predictive model: y = 0.07 + 0.5x1 + 0.03x2 + 0.06x3 where, X1, X2, 23 are the predictors and y is a binary target variable, i.e. y E {1, 0}. Using a Logistic regression algorithm, predict the classes (1, or 0) for the following test data X1 X2 X3 y 0.10 1.21 0.88 0.03 0.05 0.02 0.10 2.00 0.42 0.1 1.00 0.25