使用 Caret 运行 Logistic 回归时的错误消息

问题描述

我收到错误信息

Error: wrong model type for classification

尝试运行以下代码进行逻辑回归时。我应该改变什么？

lm1 <- train(Class ~ .,method = "lm",trControl = tr.Control,data = train.dat)

数据集：

structure(list(x1 = c(-2.48941991263215,-0.338448010439568,-1.07796826066294,1.47833943928667,-0.19013864138727),x2 = c(-1.05660014431803,-1.75938416652951,-1.94445363537753,2.65603302304451,-0.818464313993987
),x3 = c(-0.928819609794076,-0.24431689960579,-0.26055539595143,-0.500006066823682,0.19947842697796),x4 = c(0.167674885884102,-0.714651010370962,0.501841366660604,-0.261356553409404,-0.121081806911108
),x5 = c(0.826293680351228,-0.0522530856542289,0.456970179919153,-0.483860304113477,0.827117071952671),x6 = c(0.229410925647244,0.367363323224708,0.0097867208532989,0.6599692159798,0.454895325470716
),x7 = c(0.277445634594187,0.00411403737962246,0.912381467409432,0.0911673668306321,0.0729619956109673),x8 = c(0.403632419444111,-1.76177968998027,0.818339220424296,0.77257524859948,-1.45634200383022
),x9 = c(0.666298305218494,1.28068782733132,0.243489971387096,0.00907678612957343,0.0688231437305274),x10 = c(-0.674113519037765,-0.221583500325269,0.555570222138564,0.572105515491289,2.32224808146226
),x11 = c(-0.503906052691753,-0.170463238913734,1.81239693119702,-0.310259330876175,0.373355276436323),x12 = c(0.569346066655445,0.665270271264321,-1.04590277174209,-1.08749423169221,-0.717326819631265
),Class = c("No","Yes","No","Yes")),row.names = c(NA,5L),class = "data.frame")

解决方法

插入符号 module: { rules: [ { test: /\.(jsx|js)$/ exclude: /node_modules/,use: { loader: 'babel-loader',options: { presets: [ 'react','es2015' ] } } } ] } 调用函数 method = "lm"，这是一个线性回归。当您的响应变量不是标量时，您需要一个 general linear model 来实现所谓的逻辑回归。在插入符号中，这是通过为 :

指定 lm() 来完成的

method = "glm"

您提供的数据是秩亏矩阵，请再次运行library(caret) tr.Control = trainControl(method="cv") lm1 <- train(Class ~ .,method = "glm",trControl = tr.Control,data = train.dat) 前检查。