8
Running the Random Forest example from http://www.kaggle.com/c/icdar2013-gender-prediction-from-handwriting/data, the following line:
forest_model <- randomForest(as.factor(male) ~ ., data=train, ntree=10000)
takes hours (not sure whether it will ever end, but the process does seems to work) .
The data set has 1128 rows and ~7000 variables.
Is it possible to estimate when the Random Forest training will finish? Can I profile R somehow to get more information?