r - C5.0 number of boosting iterations stops early -


i assume question has more back-end operations don't understand because behavior seems odd, @ least me.

when run c5.0 model (albeit extreme) error matrix of:

error_cost <- matrix(c(0, 1, 15, 0), nrow = 2)

and 10 trials 10 iterations.

if same , trials anywhere between 11 , 100 stops @ 7 iterations, , output, while "working", garbage.

if change error matrix to:

error_cost <- matrix(c(0, 1, 4, 0), nrow = 2)

and iterations 100 iterates 100 times (and results good).

obviously problem in error cost, i'm trying understand why causes behave way. , while real problem i'm working on, error costs , iterations more attempt understand happening under hood.

thoughts?

thanks in advance.

full code: 

library(c50)  model_data_train$donated <- as.factor(model_data_train$donated) model_data_test$donated <- as.factor(model_data_test$donated)  error_cost <- matrix(c(0, 4, 1, 0), nrow = 2)  dt_model10 <- c5.0(model_data_train[-113], model_data_train$donated,                     trials = 100,                     rules = true, costs = error_cost)

if read deeper in library documentation there control feature called earlystopping can toggle off:

dt_model10 <- c5.0(model_data_train[-113], model_data_train$donated,                 trials = 100,                 rules = true,                 costs = error_cost,                control=c5.0control(earlystopping=false))

as mentioned @kenston choi


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