Some useful representations can be derived from the data science process. That is, the representation is not done directly from the data, but is achieved by using machine learning procedures, which inform us about how the algorithms operate and offer us a more precise overview of the role of each predictor in the predictions obtained. In particular, learning curves can provide a quick diagnosis to improve your models. This helps you figure out whether you need more observations, or need to enrich your variables.
Advanced data learning representation
Learning curves
A learning curve is a useful diagnostic graphic that depicts the behavior of your machine learning algorithm (your hypothesis) with respect to the available quantity...
