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Kira (version 1.0.6)

Machine Learning

Description

Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.

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Version

Install

install.packages('Kira')

Monthly Downloads

408

Version

1.0.6

License

GPL-3

Maintainer

Paulo Cesar Ossani

Last Published

September 5th, 2024

Functions in Kira (1.0.6)

silhouette

Silhouette method to determine the optimal number of clusters.
regression

Linear regression supervised classification method
plot_curve

Graphics of the results of the classification process
Kira-package

Machine learning and data mining.
hierarchical

Hierarchical unsupervised classification.
qda

Quadratic discriminant analysis (QDA).
lda

Linear discriminant analysis (LDA).
results

Results of the classification process
kmeans

kmeans unsupervised classification.
knn

k-nearest neighbor (kNN) supervised classification method
elbow

Elbow method to determine the optimal number of clusters.