Anomaly Detection with the BigML Dashboard

6.6 Descriptive Information

Each anomaly score has an associated name, description, category and tags. Those options are editable through the More info menu on the top right of the anomaly view. (See Figure 6.29 .)

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Figure 6.29 Edit scores metadata from More info panel

6.6.1 Scores Name

If you do not specify a name for your scores, BigML assigns a default name depending on the type of scores:

  • Single scores: the name always follow the structure “Score for <objective field name>”.

  • Batch anomaly scores: BigML combines your score dataset name and the anomaly name: “Batch score of <anomaly name> with <dataset name>”.

Scores names are displayed on the list view and also on the top bar of a score view. Score names are indexed to be used in searches. You can rename your scores at any time from the More info menu option.

The name of a score cannot be longer than 256 characters. More than one score can have the same name even within the same project, but they will always have different identifiers.

6.6.2 Description

Each anomaly score also has a description that it is very useful for documenting your Machine Learning projects. Single and batch scores take the description from the anomaly detector 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 6.30 .)

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Figure 6.30 Markdown editor for scores descriptions

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

6.6.3 Category

Each score has associated a category. Categories are useful to classify scores according to the domain which your data comes from. This is useful when you use BigML to solve problems across industries or multiple customers. By default, single and batch scores take the category from the anomaly detector used to create them.

A score category must be one of the categories listed on Table 6.1 .

Table 6.1 Categories used to classify scores by BigML

Category

Aerospace and Defense

Automotive, Engineering and Manufacturing

Banking and Finance

Chemical and Pharmaceutical

Consumer and Retail

Demographics and Surveys

Energy, Oil and Gas

Fraud and Crime

Healthcare

Higher Education and Scientific Research

Human Resources and Psychology

Insurance

Law and Order

Media, Marketing and Advertising

Miscellaneous

Physical, Earth and Life Sciences

Professional Services

Public Sector and Nonprofit

Sports and Games

Technology and Communications

Transportation and Logistics

Travel and Leisure

Uncategorized

Utilities

6.6.4 Tags

A score can also have a number of tags associated with it that can help to retrieve it via the BigML API or to provide scores with some extra information. Scores inherit the tags from the anomaly detector used to create it.

Each tag is limited to a maximum of 128 characters. Each score can have up to 32 different tags.