| as.table.confusionMatrix {caret} | R Documentation |
Conversion functions for class confusionMatrix
## S3 method for class 'confusionMatrix': as.matrix(x, what = "xtabs", ...) ## S3 method for class 'confusionMatrix': as.table(x, ...)
x |
an object of class confusionMatrix |
what |
data to conver to matrix. Either "xtabs", "overall" or "classes" |
... |
not currently used |
For as.table, the cross-tabulations are saved. For as.matrix, the three object types are saved in matrix format.
A matrix or table
Max Kuhn
###################
## 2 class example
lvs <- c("normal", "abnormal")
truth <- factor(rep(lvs, times = c(86, 258)),
levels = rev(lvs))
pred <- factor(
c(
rep(lvs, times = c(54, 32)),
rep(lvs, times = c(27, 231))),
levels = rev(lvs))
xtab <- table(pred, truth)
results <- confusionMatrix(xtab)
as.table(results)
as.matrix(results)
as.matrix(results, what = "overall")
as.matrix(results, what = "classes")
###################
## 3 class example
library(MASS)
fit <- lda(Species ~ ., data = iris)
model <- predict(fit)$class
irisTabs <- table(model, iris$Species)
results <- confusionMatrix(irisTabs)
as.table(results)
as.matrix(results)
as.matrix(results, what = "overall")
as.matrix(results, what = "classes")