Thanks @AndyR .
The tutorials helped me a lot.
I worked around mldr objects using the RWeka package.
I am a new user, hence, it took me some time to solve the java related issues. But, I was able to do it.
I was trying to evaluate the model performance. As per my learning, mldr uses predict() and mldr_evaluate() function for this task. The predict() function here is giving me labels-output as a single factor level value instead of dividing it into a data frame with labels as different columns. While the mldr_evaluate() take data frame as input.
Example: For the five-label dataset, the row-wise output is '01001', '10010', etc., instead of dividing into 5 columns.
Is there any way to get label output in different columns or should I go for manual rule-based functions?