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Measure final model performance

Now its time to calculate the test performance of your final model (logistic regression). Here you will use the held out testing data to characterize the performance you would expect from this model when it is applied to new data.

Este exercício faz parte do curso

Machine Learning in the Tidyverse

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Instruções do exercício

  • Use table() to compare the test_actual and test_predicted vectors.
  • Calculate the test accuracy.
  • Calculate the test precision.
  • Calculate the test recall.
  • After this exercise, you are done with the course! If you enjoyed the material, feel free to send Dmitriy a thank you via Twitter. He'll appreciate it. Tweet to Dmitriy

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Compare the actual & predicted performance visually using a table
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# Calculate the test accuracy
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# Calculate the test precision
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# Calculate the test recall
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