We’re Asking the Wrong Question When we were building the Darwin data mining platform for MPP supercomputers back in the 1990s we had one big question: “Which is the best machine learning algorithm?”
We even did a very serious bake off between neural networks, genetic algorithms, k-nearest neighbors, clustering, logistic regression and decision trees (CART). We used real world financial and marketing data. We found out that one algorithm was better at prediction than all the others … but by only a few percent … and just for one particular problem.
Author: Stephen J. Smith