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Simply: The R2 value we obtain at an optimized lambda using glmnet: how do we state whether that's significant or not? Using the standard lm() function, we are able to run an ANOVA and test for significance. We have...
Hi! I'm using GLM, LDA and NaiveBayes for binomial classification. My training set is 70 rows long with 32 features, and my test set is 30 rows long with 32 features. Using Naive Bayes, I can train a model...
Here is the full code. Look to the last part, denoted #(f) for the question being asked in this post: #(a) Split datapoints into training (70 points) and test (30 points) sets. #Read in ass4-data.txt and ass3-phodata...
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