Hi! If removing a variable improves accuracy, should't a machine learning algorythm disregard it and still get that improved accuracy? Thanks for the soft and the tutorials!!
Is there a particular rule of thumb to decide on the attribute or instance to be removed? Or do I have to evaluate a classifier each time and use the trial and error method?
You can use various feature selection methods such as Information Gain, Chi-Square using filtration methods. You can also use wrapper methods to select important attributes and remove others.
i'm starting to love the midi music at the begining :) Great videos
Very good explanation of Weka with clear videos and closed captioning.
How I can merge Clustering algorithm such as kmeans with classifying Algorithm such as naive bayes in weka?
This was a very good explanation. I need to know , how we can add a new filter to weka ?
Hi!
If removing a variable improves accuracy, should't a machine learning algorythm disregard it and still get that improved accuracy?
Thanks for the soft and the tutorials!!
Is there a particular rule of thumb to decide on the attribute or instance to be removed? Or do I have to evaluate a classifier each time and use the trial and error method?
You can use various feature selection methods such as Information Gain, Chi-Square using filtration methods. You can also use wrapper methods to select important attributes and remove others.
You are awesome! Thank you for your kind and thoughtful video.
thanks alot. I need to know, how we can use PSOSearch in weka???
i want to applay bootstrapping in weka, i go to:
filters - supervized -instance -resample
are these steps coorect?
please help me
Hi did you get your answer ? Because i am dealing with the same problem 🙁 if you have any idea please share with me too
شرح اكثر من راااائع☺️
how to remove more than 5 attributes in filter
very good explanation
very good !!!
Thank you very much
Thank you
太贴心了
thanks alot
感恩 學校老師教得完全聽不懂
زجو