| Kira-package {Kira} | R Documentation |
Machine learning and data mining.
Description
Machine learning, containing several algorithms, in addition to functions that plot the graphs of the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve, and also a function that returns several metrics used to evaluate the models, the latter can be used in the classification results of other packages.
Details
| Package: | Kira |
| Type: | Package |
| Version: | 1.0.5 |
| Date: | 2024-07-04 |
| License: | GPL(>= 3) |
| LazyLoad: | yes |
This package contains:
Algorithms for supervised classification: knn, linear (lda) and quadratic (qda) discriminant analysis, linear regression, etc.
Algorithms for unsupervised classification: hierarchical, kmeans, etc.
A function that plots the ROC and PRC curve.
A function that returns a series of metrics from models.
Functions that determine the ideal number of clusters: elbow and silhouette.
Author(s)
Paulo Cesar Ossani <ossanipc@hotmail.com>
References
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