There is [Quantitative Training data] and Test data using Random Forest and the

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There is [Quantitative Training data] and Test data using Random Forest and the

There is [Quantitative Training data] and Test data using Random Forest and the GAM model to predict the missing Y. I have completed the process for the prediction and export as [Test_randomForest.xlsx] and [Test_GAM.xlsx].
Please evaluate the two test data by plotting the ROC curves and calculating the accuracy, and also can use cross-validation.
Define which model has a better prediction with a higher accuracy rate.
Please transfer the R file to Docs when you are finished.