Is Trick Applicable.?

In the previous blog i have discussed about the Kernel trick.if you didn’t see go through it once.Refer the below link

https://medium.com/@nandamuridedeepya135/do-you-know-the-trick-644015c61047

In this,i will tell about SVM(Support Vector Machines).

In Support Vector Machine,we first do the kernel trick as mentioned in before blog and divide the plane along with respect to the targets.

The SVM Model helps to maximize the margins from both sides and gives the exact match.

Support Machine Vector

From the diagram,we can see the two targets “YES” and “NO” divided with the help of logistic regression.Now to draw the best margin line in between the two targets, We will take the nearest points of the targets and set them as margins and draw the separating hyper plane .To show exact margin line which adjusts to both the targets.

The Support Vector Machines is also called as “Maximum Margin Classifier”

Note:

The Kernel trick follows first and the SVM as next as one after the other.

we can Interpret the exact (or) accurate output.

But,we can’t give justification why the output is accurate.