Error: *** line 1 of `undefined.cases': bad value of ... for attribute

Question

我正在训练决策树 C5.0，一切运行良好，直到我尝试预测测试数据集中的值。我不确定错误是什么意思：

library(pacman)
p_load(tidyverse, NHANES, C50)

rows <- sample(nrow(NHANES), as.integer(0.75 * nrow(NHANES)))

nhanes_train <- NHANES[rows,] %>%
  select(SleepTrouble, everything(), -ID)
nhanes_test <- NHANES[-rows,] %>%
  select(SleepTrouble, everything(), -ID)

nhanes_tree <- C5.0(nhanes_train[-1], nhanes_train$SleepTrouble)

nhanes_tree_pred <- predict(nhanes_tree, nhanes_test)

输出：

Error: *** line 1 of undefined.cases': bad value of c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,' for attribute `SurveyYr' Error limit exceeded

Answer 1

看来当你有非数字数据如因子时，你必须使用函数的公式版本。这很好用：

nhanes_tree <- C5.0(SleepTrouble ~ ., nhanes_train)
nhanes_tree_pred <- predict(nhanes_tree, nhanes_test)

来自文档：

When using the formula method, factors and other classes are preserved (i.e. dummy variables are not automatically created). This particular model handles non-numeric data of some types (such as character, factor and ordered data).

Error: *** line 1 of `undefined.cases': bad value of ... for attribute

Error: *** line 1 of `undefined.cases': bad value of ... for attribute

r

machine-learning

c5.0