Plotting the average OOB error and its 95% confidence interval as a function of the mtry parameter
a 1 x p matrix where p is the number of mtry values tested. Each value represents the average OOB error obtained training multiple Random Forest models with a defined value of mtry
a 2 x p matrix containing the extremes of the confidence interval of the average OOB error.
a graphical representation of the average OOB error as a function of the mtry parameter.
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## data(cachexiaData) ## res <- tuneMTRY(cachexiaData, iterations = 5, maxntree = 600, mtry_length = 10, graph = F) ## l <- optimizeMTRY(res$oob) ## plotOOBvsMTRY(l$mean_matrix, l$ci_matrix)
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