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Exercise

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.

Instructions
100 XP
  • Load the caret package.
  • Call confusionMatrix() on conf_matrix to print the accuracy of the model.
  • Review the output of confusionMatrix() and assign the accuracy of the model to accuracy.
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