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Update final_report.md
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abarton51 authored Dec 5, 2023
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Expand Up @@ -143,7 +143,7 @@ We performed a search over the best value of the cost complexity pruning penalty

<img src="../assets/dt_cc_path.png" alt="drawing" width="300"/>

However, this does not mean the model is performing worse as the cost complexity penalty increases. As shown below, there is an optimal cost complexity penality found at around ~0.09 that results in the best test accuracy of the model. This is the cost complexity penalty we use for our decision tree.
However, this does not mean the model is performing worse as the cost complexity penalty increases. As shown below, there is an optimal cost complexity penality found at around ~0.02 that results in the best test accuracy of the model. This is the cost complexity penalty we use for our decision tree.

<img src="../assets/cc_accuracy_path.png" alt="drawing" width="300"/>

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