How to improve performance of C5.0 decision tree



I came across a problem of predication in which training data and testing data was around 50 mb and when I use to create the model of classification using C5.0 decision tree and predication model in R it takes time around 4-5 min I want to reduce this time .


can u show some code, the example dataset and which package you are using.

for Big Data (which 50 mb is not) you could use RevoScaleR