Accuracy of your model
Accuracy of the model can be calculated as:
$$\text{Accuracy} = \frac{\text{ TP + TN }}{\text{ TP + TN + FP + FN }}$$
where
- True negatives (TN): You correctly identified active employees
- True positives (TP): You correctly identified inactive employees
- False positives (FP): You predicted employees as inactive, but they are actually active
- False negatives (FN): You predicted employees as active, but they are actually inactive
confusionMatrix() function from caret package automatically calculates the accuracy of the model along with other relevant statistics.
本练习是课程的一部分
HR Analytics: Predicting Employee Churn in R
练习说明
- Load the
caretpackage. - Call
confusionMatrix()onconf_matrixto print the accuracy of the model. - Review the output of
confusionMatrix()and assign the accuracy of the model toaccuracy.
交互式实操练习
通过完成这段示例代码来试试这个练习。
# Load caret
library(___)
# Call confusionMatrix
___
# Choose the model's accuracy as per confusionMatrix output (0.9283 or 92.83)?
accuracy <- ___