High Relative absolute error and Root relative squared error in classification
<p>I have a small problem with my model
<a href="http://i.stack.imgur.com/Aomim.jpg" rel="nofollow">JRip classifier</a></p>

<p>The output seems to be good enough but I'm worrying about the high Relative absolute error and Root relative squared error. When I tried J48 and NaiveBayes it was about 98% so high as well. Is it not so important in the classification and I can just leave like this? Otherwise, how can I improve it?
The cost matrix is: </p>

<p>0 1</p>

<p>2 0</p>

<p>what improved the result for the TP Rate for second class.
Thank you in advance for help</p>