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[英]Why am i getting an error while trying to make a confusion matrix in decision tree?
[英]I'm getting an error while trying to create a confusion matrix
嘗試生成混淆矩陣時出現以下錯誤 - 這曾經有效。
str(credit_test)
# Generate predicted classes using the model object
class_prediction <- predict(object=credit_model,
newdata=credit_test,
type="class")
class(class_prediction)
class(credit_test$ACCURACY)
# Calculate the confusion matrix for the test set
confusionMatrix(data=class_prediction, reference=credit_test$ACCURACY)
'data.frame': 20 obs. of 4 variables:
$ ACCURACY : Factor w/ 2 levels "win","lose": 1 1 1 2 2 1 1 1 1 1 ...
$ PM_HIGH : num 5.7 5.12 10.96 7.99 1.73 ...
$ OPEN_PRICE: num 4.46 3.82 9.35 7.77 1.54 5.17 1.88 2.65 5.71 4.09 ...
$ PM_VOLUME : num 0.458 0.676 1.591 3.974 1.785 ...
[1] "factor"
[1] "factor"
**Error in confusionMatrix(data=class_prediction, reference=credit_test$ACCURACY) :
unused arguments (data=class_prediction, reference=credit_test$ACCURACY)**
由於某種原因,我不得不以這種方式運行它,發生了一些變化caret::confusionMatrix(data=class_prediction,reference=credit_test$ACCURACY)
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