I am looking at data from the London Data Store based on social characteristics between London boroughs.
Since there are only about 30 London boroughs, the data sets I am looking at are naturally very small. For example, I might be fitting regression/correlations to a plot of about 30 points.
- What are appropriate ways to conduct classification on such small data sets, and why? 'Why' is important.
I was thinking of something like SVM, or Naive Bayes. Or regression if the data is continuous.
- What are very inappropriate ways to conduct classification here?