Comparison of Subsets
An important concept in machine learning is model generalisation & performance deterioration
- When we train a model, we perform an optimisation step, using metrics and/or loss values we can understand how well our model is understanding the relation between all data points and features in the input data we feed it
- Going through this process, we can tune a model so that it performs well on the data that we use to train it