Classification and Regression with the BigML Dashboard
4.9 Descriptive Information
Each logistic regression has an associated name, description, category, and tags. The following subsections provide a brief description for each concept. In Figure 4.138 , you can see the options the More info menu provides to edit them.
![\includegraphics[]{images/logisticregression/lr-edit}](images/img-0444.png)
4.9.1 Logistic Regression Name
Each logistic regression has a name that is displayed in the logistic regression list view and also on the top bar of the logistic regression view. Logistic regression’s names are indexed to be used in searches. When you create a logistic regression, it gets a default name. Change it using the More info menu option on the right corner of the logistic regression view. The name of a logistic regression cannot be longer than 256 characters. More than one logistic regression can have the same name even within the same project, but they will always have different identifiers.
4.9.2 Description
Each logistic regression also has a description that it is very useful for documenting your Machine Learning projects. Logistic regressions take the description of the datasets used to create them by default.
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 4.139 .)
![\includegraphics[width=0.5\textwidth ]{images/logisticregression/lr-description}](images/img-0433.png)
Descriptions cannot be longer than 8192 characters and can use almost any character.
4.9.3 Category
A category, taken from the dataset used to create it, is associated with each logistic regression. Categories are useful to classify logistic regressions according to the domain which your data comes from. This is useful when you use BigML to solve problems across industries or multiple customers.
A logistic regression category must be one of the 24 categories listed on Table 4.5 .
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
4.9.4 Tags
A logistic regression can also have a number of tags associated with it that can help to retrieve it via the BigML API or to provide logistic regressions with some extra information. A logistic regression inherits the tags from the dataset used to create it. Each tag is limited to a maximum of 128 characters. Each logistic regression can have up to 32 different tags.
4.9.5 Counters
For each logistic regression, BigML also stores a number of counters to track the number of other resources that have been created using the logistic regression as a starting point. In the logistic regression view, you can see a menu option that displays counters for evaluations, single and batch predictions, and the fusions created. It also allows you to quickly jump to all the resources of one type. (See Figure 4.140 .)
![\includegraphics[]{images/logisticregression/lr-counters}](images/img-0445.png)