tut18

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✓ Published0🌍 Public

Last edited Feb 13, 2020

Created on Feb 13, 2020

This visualization shows how model accuracy varies as the `mtry` parameter changes from 3 to 8 in a random forest classifier. A line plot displays the accuracy scores, which peak at approximately 0.645. The code uses a `for` loop to train random forest models with the `randomForest` R package on a training set, validates predictions against a validation set, and records mean accuracy. The final `plot(3:8, accuracy_list)` call generates the line chart from the computed accuracy vector.

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