Optimize ML modeling using a timing decorator

We can go on and provide hundreds of arguments and quotes showing why the act of measurement is important in science and technology. One accurate measurement is worth a thousand expert opinions. If you can not measure it, you can not improve it. We want to do productive data science. That means we want to improve the efficiency of our Machine Learning (ML) training and inference.