Solution-Classify observations in a dataset into two classes

Classify observations in a dataset into two classes

Reference no: EM132096074

You are running a logistic regression in order to classify observations in a dataset into two classes. When discussing this with your colleagues, three of them raise objections:

• Colleague A: For this dataset, we don't believe that the probability of an observation falling in the ?rst class is well-modeled as a linear function of the predictors, so logistic regression is not suitable.

• Colleague B: We don't believe that the true decision boundary between the classes is linear, so logistic regression is not suitable.

• Colleague C: The observations that we have here are perfectly separated by a hyperplane, so logistic regression is not suitable.

Which of your colleagues (if any) have raised valid objections? Respond to any invalid objections.

Reference no: EM132096074

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Classify observations in a dataset into two classes

Reference no: EM132096074

Reference no: EM132096074

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