8.1 Introduction

You can use your associations to find the items which are strongly correlated with a given set of inputs. Predictions for associations are referred to as association sets in BigML. Association sets are only available to predict items for single instances for the moment. The main goal of creating an association set is to obtain a set of predicted items associated to some input data. For example, given a set of products bought by a person, which others are very likely to be bought? Each predicted item comes with a score to indicate the strength of the association between the input data and the predicted items.

The predictions tab in the main menu of the BigML Dashboard is where all of your saved predictions are listed (Figure 8.1 ). In the association set list view, you can see the icon for the Association used for each prediction, the Name of the prediction, the K number of rules matching the input data, the Scored by measure and the Age (time since the association set was created). You can also search your association sets by name through clicking in the search menu option on the top right menu.

By default, when you first create an account at BigML, or every time that you start a new Project, your list view for predictions will be empty. (See Figure 8.2 .)

See below the corresponding icon for association sets. (See Figure 8.3 .)