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.
Bu egzersiz
HR Analytics: Predicting Employee Churn in R
kursunun bir parçasıdırEgzersiz talimatları
- 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.
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Load caret
library(___)
# Call confusionMatrix
___
# Choose the model's accuracy as per confusionMatrix output (0.9283 or 92.83)?
accuracy <- ___