Linear Regression using Weka and Java 3

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Transcript

Okay so after I create these our linear model here, so we cover some errors so according to the website he the Randy's co here run this code now we will get this error here. So we either put in or this job or this job pass or we use these are victory points since they are the country play. So a Google search on a lie I can toggle these are victory points is Java here. So I can remove the Java and I in new Java. So for myself I download Isa 3.6. Here in this IP in this Id try I open case To use the classification method I can do something is classification okay trainees will be the ah should be cpu.ai and testing session will be the CPU underscore test talk and then the algorithm will be linear the algorithm will be linear and then the train that's testing So, for linear regressions, I will not be using this Iris dataset, because in this Iris data cause variable a is actually a categorical variable for linear regression We only pre do we only predict those on numeric variables or continuous variables.

So for regressions I will be using the CPU data Okay, so I said a class variable class index, so 0123456 Okay, so I will set a class index to be six, six and then six for data for testing data. So, I will run the program I know okay library contest I run this fire okay rah rah rah rah rah Okay, so I have some predictions here. So this is the rows and then this is the prediction, rows prediction rows prediction rows prediction, rows prediction and prediction. So these are obviously not simple linear regression This is a normal linear regression or multiple linear regressions because we have a few variable size

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