3.4.1 Labeled Data

Labeled data has feature columns and a target column (the label), as illustrated in the following diagram:

Figure 3.2 Labeled Data

Feature columns contain the input variables used to train the machine learning model. The target column contains ground truth values or, in other words, the correct answers. A labeled dataset with ground truth values is required to train a machine learning model. In the context of this guide, the labeled dataset used to train a machine learning model is referred as the training dataset.

A labeled dataset with ground truth values is also used to score a model (compute its accuracy and reliability). This dataset should have the same columns as the training dataset but with a different set of data. In the context of this guide, the labeled dataset used to score a model is referred as the validation dataset.