Question

We discussed the use of MLE for the estimation of parameters of logistic regression model. We used which of the following assumptions to derive the likelihood function ?
1) independence among the class labels
2)independence among the parameters of the model
3)independence among each training sample
4) None of these

Answer 1

To derive the likelihood function, the assumption 'independence among the parameters of the model' is used.

Option: 2

Explanation:

• Logistic regression is defined as a statistical model where its basic form uses logistic function to model the binary independent variable.
• In regression based analysis, the logistic regression is used for estimating the logistic model parameters.
• Here, any unknown parameters in the function can be estimated by using maximum likelihood.
• For some of the function ‘p’ parameterized by theta, then the parameterized function can be observed as independent of each other.

To know more about logistic regression model,

1) How to choose linaer or logistic regression model?

https://brainly.in/question/4846238

2) Data analytics logistic regression model theory

https://brainly.in/question/3487940