We select the default parameters for the training and evaluation settings. Amazon ML will do the following:
- Create a recipe for data transformation based on the statistical properties it has inferred from the dataset
- Split the dataset (ST67_training.csv) into a training part and a validation part, with a 70/30 split. The split strategy assumes the data has already been shuffled and can be split sequentially.
In Chapter 4, Loading and Preparing the Dataset, we will take the longer road and work directly on the recipes, the schemas, and the validation split. On the next page, you are asked to review the model you just created.
The recipe will be used to transform the data in a similar way for the training and the validation datasets. ...
