APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Select the odd one out.
|
|
AUC
|
|
|
ROC
|
|
|
Logistic Regression
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -Logistic regression is a data analysis technique that uses mathematics to find the relationships between two data factors. It then uses this relationship to predict the value of one of those factors based on the other. The prediction usually has a finite number of outcomes, like yes or no.
Detailed explanation-2: -Logistic regression is used to estimate the probability of outcome dependent variable instead of actual value as like linear regression model.
Detailed explanation-3: -There are three main types of logistic regression: binary, multinomial and ordinal.
There is 1 question to complete.