如何格式化 confusionMatrix 插入符包
How to format confusionMatrix caret package
使用 R 中 caret 包中的 confusionMatrix()
函数,如何垂直格式化输出?
我目前的输出如下:
$positive
[1] "spam"
$table
Reference
Prediction ham spam
ham 1201 30
spam 6 153
$overall
Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull AccuracyPValue
9.741007e-01 8.800535e-01 9.643235e-01 9.817960e-01 8.683453e-01 5.647960e-44
McnemarPValue
1.264185e-04
$byClass
Sensitivity Specificity Pos Pred Value Neg Pred Value
0.8360656 0.9950290 0.9622642 0.9756296
Precision Recall F1 Prevalence
0.9622642 0.8360656 0.8947368 0.1316547
Detection Rate Detection Prevalence Balanced Accuracy
0.1100719 0.1143885 0.9155473
$mode
[1] "sens_spec"
我想要这样的东西:
Accuracy:
95% CI
No Information Rate:
P-Value [Acc > NIR]:
Kappa:
Mcnemar's Test P-Value:
Sensitivity:
Specificity:
Pos Pred Value:
Neg Pred Value:
Prevalence:
Detection Rate:
Detection Prevalence:
Balanced Accuracy:
试试这个:
t(confusionMatrix()$byClass)
还有这个:
confusionMatrix()$overall
取决于 类 数据的数量,您可以绑定或不绑定它们
使用 R 中 caret 包中的 confusionMatrix()
函数,如何垂直格式化输出?
我目前的输出如下:
$positive
[1] "spam"
$table
Reference
Prediction ham spam
ham 1201 30
spam 6 153
$overall
Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull AccuracyPValue
9.741007e-01 8.800535e-01 9.643235e-01 9.817960e-01 8.683453e-01 5.647960e-44
McnemarPValue
1.264185e-04
$byClass
Sensitivity Specificity Pos Pred Value Neg Pred Value
0.8360656 0.9950290 0.9622642 0.9756296
Precision Recall F1 Prevalence
0.9622642 0.8360656 0.8947368 0.1316547
Detection Rate Detection Prevalence Balanced Accuracy
0.1100719 0.1143885 0.9155473
$mode
[1] "sens_spec"
我想要这样的东西:
Accuracy:
95% CI
No Information Rate:
P-Value [Acc > NIR]:
Kappa:
Mcnemar's Test P-Value:
Sensitivity:
Specificity:
Pos Pred Value:
Neg Pred Value:
Prevalence:
Detection Rate:
Detection Prevalence:
Balanced Accuracy:
试试这个:
t(confusionMatrix()$byClass)
还有这个:
confusionMatrix()$overall
取决于 类 数据的数量,您可以绑定或不绑定它们