Which of the following statement(s) about logistic regression is/are true? It learns a model for the probability distribution of the data points in each class. The output of a linear model is transformed to the range (0., 1) by a sigmoid function. The parameters are learned by optimizing the mean-squared loss. The loss function is optimized by using an iterative numerical algorithm.