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.
Questo esercizio fa parte del corso
Machine Learning in the Tidyverse
Istruzioni dell'esercizio
- 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
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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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