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Checking the accuracy of prediction

It’s now time to check how well your trained model can make predictions! Let’s use your testing set to check the accuracy of your Decision Tree model, with the score() method.

Questo esercizio fa parte del corso

HR Analytics: Predicting Employee Churn in Python

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Istruzioni dell'esercizio

  • Apply the decision tree model to fit the features to the target in the training set.
  • Check the accuracy score() of the prediction for the training set.
  • Check the accuracy score() of the prediction for the test set.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# Apply a decision tree model to fit features to the target in the training set
model.fit(____,____)

# Check the accuracy score of the prediction for the training set
model.____(features_train,____)*100

# Check the accuracy score of the prediction for the test set
model.____(____,____)*100
Modifica ed esegui il codice