APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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odds will be 0
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odds will be 0.5
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odds will be 1
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None
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Detailed explanation-1: -The standard way to determine the best fit for logistic regression is maximum likelihood estimation (MLE). In this estimation method, we use a likelihood function that measures how well a set of parameters fit a sample of data.
Detailed explanation-2: -22) Which of the following above figure shows that the decision boundary is overfitting the training data? Since in figure 3, Decision boundary is not smooth that means it will over-fitting the data.
Detailed explanation-3: -The correct option is a) Logistic regression is considered to be a predictive algorithm where the aim is to understand the relationship between the dependent variable and various other independent variables. It is used in various machine learning applications.