Ensemble of decision trees: XGBoost

multiplechoice

Based on the plot, select the learning rate that gives the best performance on the validation set

multiplechoice

True or False: The following figure shows the decision boudaries of an XGBClassifier with a learning rate of 0.1

Use the code presented previously.

answer-lr01

multiplechoice

True or False: The following figure shows the decision boudaries of an XGBClassifier with a learning rate of 0.01

Use the code presented previously.

answer-lr0001

multiplechoice

Which of the following statements about learning rate and overfitting in XGBoost is true?

codevalidated

Train your model

You must train the XGBoost and tune hyperparameters model using the training data and evaluate the model using the testing data.

Store the model in the variable model, the prediction on the testing data in y_pred and the testing evalaution metrics in test_accuracy, test_precision, and test_recall.

To achive this task, you should obtain a precision of 70%.

Note: The expected evaluation metrics for a simple problem varies depending on the specifics of the problem and data.

Project Activities

Based on the plot, select the learning rate that gives the best performance on the validation set

True or False: The following figure shows the decision boudaries of an XGBClassifier with a learning rate of 0.1

True or False: The following figure shows the decision boudaries of an XGBClassifier with a learning rate of 0.01

Which of the following statements about learning rate and overfitting in XGBoost is true?

Train your model

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