You perform 2-fold cross-validation to tune the MaxDepth hyperparameter of a decision tree classifier. The MaxDepth hyperparameter can take one of 3 possibles values: {1,2, 3}. These are the...

You perform 2-fold cross-validation to tune the MaxDepth hyperparameter of a decision tree<br>classifier. The MaxDepth hyperparameter can take one of 3 possibles values: {1,2, 3}. These<br>are the accuracies you obtain for each MaxDepth on each fold:<br>Fold<br>MaxDepth<br>1<br>3<br>1<br>0.9<br>0.8 0.5<br>2<br>0.5 0.8<br>0.6<br>What is the MaxDepth hyperparameter chosen by this procedure ?<br>01<br>O 2<br>O 3<br>

Extracted text: You perform 2-fold cross-validation to tune the MaxDepth hyperparameter of a decision tree classifier. The MaxDepth hyperparameter can take one of 3 possibles values: {1,2, 3}. These are the accuracies you obtain for each MaxDepth on each fold: Fold MaxDepth 1 3 1 0.9 0.8 0.5 2 0.5 0.8 0.6 What is the MaxDepth hyperparameter chosen by this procedure ? 01 O 2 O 3

Jun 10, 2022

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You perform 2-fold cross-validation to tune the MaxDepth hyperparameter of a decision tree classifier. The MaxDepth hyperparameter can take one of 3 possibles values: {1,2, 3}. These are the...

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