I’m doing data analysis and need to build a classification model.
Data set has 72 data points and
categorical variable 1 has two levels A and B
categorical variable 2 has 4 levels W, X, Y and Z
What I have tried so far?
I couldn’t figure out how to build a two-step classification model. I could only classify into one categorical variable at once.
Did a PCA on 80% of training data and used the first 5 PCs (explained about 95% of variation). Then tested on the remaining 20%. had an accuracy of about 75%. I did 5 fold cross-validation
What I need advice about?
Classification model to classify a data point into categorical variable 1 (Level A or B) and categorical variable 2 (Level W, X, Y, and Z) using r software.
I need a model that would do the classification into both variables at once if possible. Any direction or guidance is appreciated.
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