C50 R

The C50 package contains an interface to the C5.0 classification model. The main two modes for this model are: a basic t...

C50 R

The C50 package contains an interface to the C5.0 classification model. The main two modes for this model are: a basic tree-based model; a rule-based model. ,The C50 R package fits Quinlan's C5.0 classification model based on the source of from www.rulequest.com . Some of the functionality is based on. Quinlan.

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C50 R 相關參考資料
C5.0 Classification Models

The C50 package contains an interface to the C5.0 classification model. The main two modes for this model are: a basic tree-based model; a rule-based model.

https://mran.microsoft.com

C5.0 Classification Models - CRAN

The C50 package contains an interface to the C5.0 classification model. The main two modes for this model are: a basic tree-based model; a rule-based model.

https://cran.r-project.org

C5.0 Decision Trees and Rule-Based Models • C50

The C50 R package fits Quinlan's C5.0 classification model based on the source of from www.rulequest.com . Some of the functionality is based on. Quinlan.

https://topepo.github.io

C5.0.default function - RDocumentation

0Control() . References. Quinlan R (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, http:// ...

https://www.rdocumentation.org

C50 package - RDocumentation

2021年6月1日 — C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0).

https://www.rdocumentation.org

C50: C5.0 Decision Trees and Rule-Based Models

由 M Kuhn 著作 · 2021 · 被引用 12 次 — Package 'C50'. June 1, 2021. Type Package ... Original GPL C code by Ross Quinlan, R code and modifications to C by Max Kuhn, Steve Weston.

https://cran.r-project.org

CRAN - Package C50

2021年6月1日 — C50: C5.0 Decision Trees and Rule-Based Models. C5.0 decision trees and rule-based models for pattern recognition ... Depends: R (≥ 2.10.0).

https://cran.r-project.org

Plot a decision tree — plot.C5.0 • C50

No value is returned; a plot is rendered. References. Quinlan R (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, http://www.rulequest.

https://topepo.github.io

R資料分析暨導引系統

Max Kuhn, Steve Weston and Nathan Coulter. C code for C5.0 by R. Quinlan (2013). C50: C5.0 Decision Trees and Rule-Based Models. R package version 0.1.0-15.

http://rweb.tmu.edu.tw

R軟體資料探勘實務(上)--分類模型

2015年9月20日 — C5.0決策樹(R提供C50套件的C5.0函數) Quinlan在1986年所提出的ID3演算法後,因其無法處理連續屬性的問題且不適用在處理大的資料集,因此1993又 ...

https://www.cc.ntu.edu.tw