Description
It is recommended to search the hyperparameter space for the best cross-validation score. Finding the best hyperparameters combination is a step you wouldn't want to miss ...
Summary
- Warming Up Before starting our quest for our best model, we want to find a dataset and a model first.
- How to find my models’ hyperparameters Before we get to the optimization part, we first need to know what are our model’s hyperparameters, right?
- In other words, in order to decide which combination of values gives the optimal results, we go through all the possibilities and measure the performance for each resulting model using a certain performance metric.
- In this variant, a fixed chosen number of candidates is sampled at random from the parameter space.