Fluctuation in accuracy with varying size of training data
<p>I am currently working on a project. I have come across an issue that the accuracy of the classifier is fluctuating with the size of training data set.
For ex: </p>

<pre><code>Training data set% |Accuracy %
10%                | 50
20%                | 60
30%                | 55
40%                | 65
50%                | 80
60%                | 70
....               | ...
</code></pre>

<p>My doubt is that I have chosen weak features..like those features are very diverse and there is no dominating feature. Does anyone have any other solution for this?</p>