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 ejercicio forma parte del curso
Machine Learning in the Tidyverse
Instrucciones del ejercicio
- Use
table()to compare thetest_actualandtest_predictedvectors. - 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
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# 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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