Hi folks! I'm using scikit-learn to build two neural networks using 10% holdout, and compare their performance using precision. To compare statistical significance in the variance of precision, i'm using scikit's boxplots.
My problem is twofold - 1) The standard deviation in the precision of the two models (obtained using precision.std()) is always 0.0. I'm assuming that's a problem. 2) My boxplot is meant to display bars for the two models, but always displays only the first model (nn01) My outcomes for this dataset is binary (0 or 1) since the models assume average=binary by default, is that a problem? For those who'd like to look, my source code can be seen at http://pastebin.com/yvE2T1Sw The code produces the following plot - which is of course only ONE of the bars that I need :( -- Best Regards, Suranga
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