Printing the Most Effective features in determining the classification

[keerthi]

Hi,

Our schema of the data is as shown below:

@relation 'StackOverflow: -C -15'

@attribute title string
@attribute java {0,1}
@attribute android {0,1}
@attribute javascript {0,1}
@attribute multithreading {0,1}
@attribute mysql {0,1}
@attribute swing {0,1}
@attribute excepton {0,1}
@attribute eclipse {0,1}
@attribute python {0,1}
@attribute django {0,1}
@attribute dictionary {0,1}
@attribute matplotlib {0,1}
@attribute numpy {0,1}
@attribute scala {0,1}
@attribute functional-programming {0,1}

We use the title attribute and apply the stringToWordVector filter on it and then apply the BR classifier on it.
We would like to determine the most important features or words that helped in the classification.I have increased the verbosity to 8 to ge the output at a granular level but do not see most informative features in the output(similar to the one provided in nltk).

Is there such support in MEKA?

Thanks for your help in advance.