Statinfer

203.6.7 Soft Margin Classification – Noisy Data and Validation

What happens if the data is noisy with SVM?

Soft Margin Classification – Noisy data

In previous section, we studied about Kernel – Non Linear Classifier

Noisy data

  • What if there is some noise in the data.
  • What id the overall data can be classified perfectly except few points.
  • How to find the hyperplane when few points are on the wrong side.

Soft Margin Classification – Noisy data

  • The non-separable cases can be solved by allowing a slack variable(x) for the point on the wrong side.
  • We are allowing some errors while building the classifier
  • In SVM optimization problem we are initially adding some error and then finding the hyperplane
  • SVM will find the maximum margin classifier allowing some minimum error due to noise.
  • Hard Margin -Classifying all data points correctly
  • Soft margin – Allowing some error

SVM Validation

  • SVM doesn’t give us the probability, it directly gives us the resultant classes.
  • Usual methods of validation like sensitivity, specificity, cross validation, ROC and AUC are the validation methods.

 

0 responses on "203.6.7 Soft Margin Classification – Noisy Data and Validation"

Leave a Message

Blog Posts

Hurry up!!!

"use coupon code for FLAT 30% discount"  datascientistoffer        ___________________________________      Subscribe to our youtube channel. Get access to video tutorials.                

Contact Us

Statinfer Software Solutions#647 2nd floor 1st Main, Indira Nagar 1st Stage, 100 feet road,Indranagar Bangalore,Karnataka, Pin code:-560038 Landmarks: Opp. Namma Metro Pillar 48.

Connect with us

linkin fn twitter g

How to become a Data Scientist.?

top