7.9 Descriptive Information

Each evaluation has an associated name, description, category, and tags. The following subsections provide a brief description for each concept. See the options that the More info menu option gives to edit them (Figure 7.105 ).

7.9.1 Evaluation Name

Each evaluation name is displayed on the list view and also on the top bar of an evaluation view. Evaluation names are indexed to be used in searches. When you create an evaluation, it gets a default name. You can change it using the More info menu option on the right corner of the evaluation view (see Figure 7.105 ) The name of an evaluation cannot be longer than 256 characters. More than one evaluation can have the same name even within the same project, but they will always have different identifiers.

7.9.2 Evaluation Description

Each evaluation also has a description that it is very useful for documenting your Machine Learning projects. Evaluations take the description of the models used to create them.

Descriptions can be written using plain text and also markdown. BigML provides a simple markdown editor that accepts a subset of markdown syntax. (See Figure 7.106 .)

Descriptions cannot be longer than 8192 characters and can use almost any character.

7.9.3 Evaluation Category

A category, taken from the model used to create the evaluation, is associated with each evaluation. Categories are useful to classify evaluations according to the domain which your data comes from. This is useful when you use BigML to solve problems across industries or multiple customers.

An evaluation category must be one of the categories listed on Table 7.2 .

7.9.4 Evaluation Tags

An evaluation can also have a number of tags associated with it that can help to retrieve it via the BigML API or to provide evaluations with some extra information. An evaluation inherits the tags from the model used to create it. Each tag is limited to a maximum of 128 characters. Each evaluation can have up to 32 different tags.