![]() ![]() ![]() The rpart.permutation package uses permutation to evaluate the effectiveness of the tree ( ). The mvpart package is an improved package of rpart, dealing with the problem of multiple dependent variables ( ). In addition, the party package also provides a visual display of the distribution of two branches and nodes. The party package provides two types of recursive splitting algorithms that can achieve unbiased variable selection and stopping criteria: the function ctree () uses a non-parametric conditional inference method to detect the relationship between the independent variable and the dependent variable Parametric model ( ). Weka also has such a recursive split method, such as: J4.8, C4.5, M5, the package Rweka provides an interface between R and Weka functions ( ![]() 2) Recursive Partitioning (Recursive Partitioning): Recursive Partitioning uses a tree structure model to do regression, classification and survival analysis, mainly in the rpart package ( ) and the tree package ( ), especially the rpart package is recommended. R ’s package of machine learning mainly includes the following aspects: 1) Neural Networks: Nenet Network execution order Hidden layer feedforward neural network, nnet is part of VR package ( ). Machine Learning & Statistical Learning URL: Maintainer: Torsten Hothorn Version: 18:19:21 Translation: R-fox, Machine learning is a cross-cutting field of computer science and statistics.
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