Description Usage Arguments Value Author(s) Examples
Plotting the average OOB error and its 95% confidence interval as a function of the mtry parameter
1 | plotOOBvsMTRY(mean_matrix, ci_matrix)
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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. |
a graphical representation of the average OOB error as a function of the mtry parameter.
Piergiorgio Palla
1 2 3 4 | ## 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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