cloutput-class(CMA)
cloutput-class()所属R语言包:CMA
"cloutput"
“cloutput”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Object returned by one of the classifiers (functions ending with CMA)
返回的对象分类(功能CMA结束)
插槽----------Slots----------
learnind: Vector of indices that indicates which observations
learnind:矢量指数表明哪些意见
y: Actual (true) class labels of predicted observations.
y:实际(真实)的预测意见类的标签。
yhat: Predicted class labels by the classifier.
yhat:预测类的分类标签。
prob: A numeric matrix whose rows equals the number of predicted observations (length of y/yhat) and whose columns equal the number of different classes in the learning set. Rows add up to one. Entry j,k of this matrix contains the probability for the j-th predicted observation to belong to class k. Can be a matrix of NAs, if the classifier used does not
prob:一个numericmatrix行等于预测意见的数量和其列等于不同类别的数量(长度)y/yhat学习组。行添加了一个。条目j,k这个矩阵包含的个j概率预测观测属于类k。可以是一个矩阵NA的,如果不使用分级
method: Name of the classifer used.
method:名称的使用classifer的。
mode: character, one of "binary" (if the number of classes in the learning set is two)
mode:character,"binary"(如果班在学习集数是两个)
model: List containing the constructed classifiers.
model:列表,其中包含构建分类。
方法----------Methods----------
show Use show(cloutput-object) for brief information
显示使用简要信息show(cloutput-object)
ftable Use ftable(cloutput-object) to obtain a confusion matrix/cross-tabulation
ftable使用ftable(cloutput-object)获得一片混乱矩阵/交叉制表
plot Use plot(cloutput-object) to generate a probability plot of the matrix
图使用plot(cloutput-object)生成矩阵的概率图
roc Use roc(cloutput-object) to compute the empirical ROC curve and the
中华民国使用roc(cloutput-object)来计算ROC曲线的实证和
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>
参见----------See Also----------
clvarseloutput compBoostCMA, dldaCMA, ElasticNetCMA, fdaCMA, flexdaCMA, gbmCMA, knnCMA, ldaCMA, LassoCMA, nnetCMA, pknnCMA, plrCMA, pls_ldaCMA, pls_lrCMA, pls_rfCMA, pnnCMA, qdaCMA, rfCMA,
clvarseloutputcompBoostCMA,dldaCMA,ElasticNetCMA,fdaCMA,flexdaCMA,gbmCMA,knnCMA,<X >,ldaCMA,LassoCMA,nnetCMA,pknnCMA,plrCMA,pls_ldaCMA,pls_lrCMA,pls_rfCMA pnnCMA,qdaCMA
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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