Next, we’ll use the lda() function from the MASSpackage to fit the LDA model to our data: Here is how to interpret the output of the model: Prior probabilities of group: These represent the proportions of each Species in the … See more For this example, we’ll use the built-in irisdataset in R. The following code shows how to load and view this dataset: We can see that the … See more Next, we’ll split the dataset into a training set to train the model on and a testing set to test the model on: See more One of the key assumptions of linear discriminant analysis is that each of the predictor variables have the same variance. An easy way to assure that this assumption is met is to scale each variable such that it … See more Once we’ve fit the model using our training data, we can use it to make predictions on our test data: This returns a list with three variables: 1. class:The predicted class 2. posterior: The posterior probabilitythat an observation belongs … See more WebBusiness Consultant, Registered and Bonded Legal Document Assistant (LDA #207) San Diego, County, California, expires 01/08/23. Strategic …
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