Select one or more: a. is a classification algorithm to estimate the class posterior probabilities b. can be used for bi

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Select one or more:
a. is a classification algorithm to estimate the class posterior probabilities
b. can be used for bi-class classification and multi-class classification
c. minimizes cross-entropy loss
d. outputs are constrained between -1 and +1
2. Linear Regression
Select one or more:
a. is used to estimate the response given a set of features.
b. is governed by the linear combination of the inputs i.e. Wix| + wax2 + . + Waxa where d is the
number of features.
c. is trained by minimizing the sum of the difference between the response and the predicted value.
d, is underfitting when the dataset is non-linear.
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