CBRMSR is Case Based Reasoning with Multi-Stage Retrieval. The package allows for splitting or folding, feature selection with a balanced iterative random forest or random KNN algorithm, and class balancing with ADASYN or SMOTE. Distance matrices can be created on confounding variable data, and numeric predictor variable data. During retrieval, cases are retrieved using a confidence metric that automaticallyretrieves cases for each test case until a confidence threshold is reached. First, cases are retrieved fromsimilar confounding attributes, followed by retrieving from similar predictor attributes.
Package details |
|
---|---|
Author | Christopher Bartlett |
Maintainer | Christopher Bartlett <cbartle3@oswego.edu> |
License | GPL |
Version | 1.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.