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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.

Este exercício faz parte do curso

HR Analytics: Predicting Employee Churn in Python

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Instruções do exercício

  • 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.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# 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
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