plot(CMA)
plot()所属R语言包:CMA
Probability plot
概率图
译者:生物统计家园网 机器人LoveR
描述----------Description----------
A popular way of visualizing the output of classifier is to plot, separately for each class, the predicted probability of each predicted observations for the respective class. For this purpose, the plot area is divided into K parts, where K is the number of classes. Predicted observations are assigned, according to their true class, to one of those parts. Then, for each part and each predicted observation, the predicted probabilities are plotted, displayed by coloured dots, where each
一个流行的可视化输出的分类方法是绘制,分别为每个类,各自类的每个预测意见的预测概率。为此目的,该图面积分为K部分,其中K是班级数目。预测意见被分配,根据自己的真实类,这些部件之一。然后,每个部分和每个预测观察,预测概率绘制,显示彩色点,其中每个
参数----------Arguments----------
参数:x
An object of class cloutput whose slot probmatrix does not contain any missing value, i.e. probability estimations are provided by the classifier.
一个对象的类cloutputprobmatrix不包含任何遗漏值的槽,即概率的估计提供的分类。
参数:main
A title for the plot (character).
一个图的标题(字符)。
值----------Value----------
No return.
不归路。
注意----------Note----------
The plot usually only makes sense if a sufficiently large numbers of observations has been classified. This is usually achieved by running the classifier on several learningsets with the method classification. The output can then be processed via join to obtain an object
图通常才有意义,如果已被列为观察一个足够大的数字。这通常是通过运行几个learningsets的分类方法classification。然后可以通过join处理获取对象的输出
作者(S)----------Author(s)----------
Martin Slawski <a href="mailto:ms@cs.uni-sb.de">ms@cs.uni-sb.de</a>
Anne-Laure Boulesteix <a href="mailto:boulesteix@ibe.med.uni-muenchen.de">boulesteix@ibe.med.uni-muenchen.de</a>
参考文献----------References----------
CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439
参见----------See Also----------
cloutput
cloutput
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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