Add to ORKGConsider here the dataset used in a previous post, about visualising a classification (with more than 2 features), MYOCARDE=read.table( + "http://freakonometrics.free.fr/saporta.csv", + header=TRUE,sep=";") The default classification tree is arbre = rpart(factor(PRONO)~.,data=MYOCARDE) rpart.plot(arbre,type=4,extra=6) We can change the options here, such as the minimum number of observations, per node arbre = rpart(factor(PRONO)~.,data=MYOCARDE, + control=rpart.control(minsplit=10)..
<p>Classification And Regression Trees (CART) are binary decision trees, attempting to classify a pa...
<p>Splitting nodes (polygonal tables with splitting variable name) and terminal nodes (with a split ...
<p>This repository contains all of the scripts and data necessary to reproduce the analyses and figu...
Marcelo A. Aizen, Gabriela R. Gleiser, Thomas Kitzberger, Ruben Milla. Being a tree crop increases t...
R topics documented: cv.tree............................................ 2 deviance.tree...............
Json format is an easy-to-read textual representation of the experimental data. Data in Json format ...
This volume is largely about nontraditional data; this paper is about a nontraditional visualization...
#<p>Taxa: number of taxa included in the analysis.</p>#<p>Chars: number of characters per locus. %PI...
We present an r package, ggtree, which provides programmable visualization and annotation of phyloge...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
<p>The first tree (called the main tree) is built on management parameters only, as they are the mai...
Nineth post of our series on classification from scratch. Today, we'll see the heuristics of the alg...
This thesis investigates the problem of growing decision trees from data, for the purposes of classi...
Often tree-based accounts of statistical learning problems yield multiple decision trees which toget...
This paper is concerned with the construction of regression and classification trees that are more a...
<p>Classification And Regression Trees (CART) are binary decision trees, attempting to classify a pa...
<p>Splitting nodes (polygonal tables with splitting variable name) and terminal nodes (with a split ...
<p>This repository contains all of the scripts and data necessary to reproduce the analyses and figu...
Marcelo A. Aizen, Gabriela R. Gleiser, Thomas Kitzberger, Ruben Milla. Being a tree crop increases t...
R topics documented: cv.tree............................................ 2 deviance.tree...............
Json format is an easy-to-read textual representation of the experimental data. Data in Json format ...
This volume is largely about nontraditional data; this paper is about a nontraditional visualization...
#<p>Taxa: number of taxa included in the analysis.</p>#<p>Chars: number of characters per locus. %PI...
We present an r package, ggtree, which provides programmable visualization and annotation of phyloge...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
<p>The first tree (called the main tree) is built on management parameters only, as they are the mai...
Nineth post of our series on classification from scratch. Today, we'll see the heuristics of the alg...
This thesis investigates the problem of growing decision trees from data, for the purposes of classi...
Often tree-based accounts of statistical learning problems yield multiple decision trees which toget...
This paper is concerned with the construction of regression and classification trees that are more a...
<p>Classification And Regression Trees (CART) are binary decision trees, attempting to classify a pa...
<p>Splitting nodes (polygonal tables with splitting variable name) and terminal nodes (with a split ...
<p>This repository contains all of the scripts and data necessary to reproduce the analyses and figu...