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.
Este exercício faz parte do curso
HR Analytics: Predicting Employee Churn in R
Instruções do exercício
- 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.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Load caret
library(___)
# Call confusionMatrix
___
# Choose the model's accuracy as per confusionMatrix output (0.9283 or 92.83)?
accuracy <- ___