Voting Regressor

In previous class we discuss about the voting classifier.Today we use voting with regression.Let's start todays class

Model:

1. Linear Regression

2. Support vector machine

3. Random forest

New point - X=0.987,y=?

How our voting regressor predict value?

Linear Regression says 15.7

SVM says 12.9

Random forest says 8

Voting Regressor take mean of all model outputs which is 31.2

It means new point X=0.987 and y=31.2

Comments

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