As Machine Learning tools become mainstream, and ever-growing choice of these is available to data scientists and analysts, the need to assess those best suited becomes challenging. Inthis study, 20 Machine Learning models were benchmarked for their accuracy and speed performance on a multi-core hardware, when applied to 2 multinomial datasets differing broadly in size and complexity.
Suggestions for additional Machine Learning, pertinent datasets and which recommender to benchmark are welcome. The full analysis can be found here.
@noeliagorod 