Quality Recognition Model (QRM)

Created: 2017-03-11 09:16:10

Quality Recognition Model (QRM) is a SVM-based Machine Learning supervised classification model that assigns label to the evidentiary documents on the basis of rigorousness of the contents. It assigns the label Rigor if the document is of quality otherwise assigns the Non-Rigor. It uses two type of features: data and metadata. Data features include title and abstract while the metadata features include MeSH terms and publication type.

Information Preview

Information Run

Not available


Information Workflow Components

Inputs (4)
Operators (42)
Outputs (0)

Information Workflow Type

RapidMiner

Information Uploader

Information License

All versions of this Workflow are licensed under:

Information Version 1 (of 1)

Information Credits (0)

(People/Groups)

None

Information Attributions (0)

(Workflows/Files)

None

Information Tags (0)

None

Log in to add Tags

Information Shared with Groups (0)

None

Information Featured In Packs (0)

None

Log in to add to one of your Packs

Information Attributed By (0)

(Workflows/Files)

None

Information Favourited By (0)

No one

 

Citations (0)

None


Version History

In chronological order:



Reviews Reviews (0)

No reviews yet

Be the first to review!



Comments Comments (0)

No comments yet

Log in to make a comment




Workflow Other workflows that use similar services (0)

There are no workflows in myExperiment that use similar services to this Workflow.