1. Which of the following data-mining problems is most similar to aregression problem?

   	a.	Association rules
   	b.	Classification
   	c.	Clustering

2. Which of the following is true about support vector machines(SVM)?

   	a.	SVM classification models are sensitive to outliers in thetraining dataset.
   	b.	SVM classification models are sensitive to data points near thedecision boundary.
   	c.	Both of the above is true.

3. Which of the following is true about linear regression (LR) andsupport vector regression (SVR)?

   	a.	LR almost always fits training data better than SVR.
   	b.	LR almost always fits testing data better than SVR.
   	c.	SVR almost always fits training data better than LR.
   	d.	SVR almost always fits testing data better than LR.

Answer rating: 100% (QA)

Answer Solution Coviect of Clustering a mis option is Rea... View the full answer