Plotting the average OOB error and its 95% confidence interval as a function of the mtry parameter

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Description

Plotting the average OOB error and its 95% confidence interval as a function of the mtry parameter

Usage

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plotOOBvsMTRY(mean_matrix, ci_matrix)

Arguments

mean_matrix

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

ci_matrix

a 2 x p matrix containing the extremes of the confidence interval of the average OOB error.

Value

a graphical representation of the average OOB error as a function of the mtry parameter.

Author(s)

Piergiorgio Palla

Examples

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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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