Answer Happy

2. How can logistic regression be used as a classifier? Logistic regression can be used as a classifier by limiting the domain of the logistic function to positive real numbers only. Logistic regression can be used as a classifier by removing the nonlinear relationship between input and output. Logistic regression can be used as a classifier by expanding the range of the output of the logistic function. Logistic regression can be used as a classifier by using a threshold on the outcome of the logistic function and using this threshold to classify the inputs. 5. If the true value of u is known, then the MLE estimator of ois oule = 121 (xi – u) ? Is the estimation of o? unbiased? Yes No
10. Which of the following is true for generative or discriminative classifier models that read the input x and the label y? (Select all that apply.) A generative classifier makes its predictions by using Bayes' rule to calculate Ply|x). A discriminative classifier learns a model of the joint probability p(x, y). A discriminative classifier models the posterior Ply|x) directly. A generative classifier attempts to learn p(xy).