[scikit-learn] Problem using boxplots to compare significance of model performance

[Suranga Kasthurirathne]

Hi Sebastian!

Thank you, you might be onto something here ;)

So, I may have to go over 2 models, so McNamara's may not be an option :(

In regard to your second comment, in building my boxplots, this is how I
input results.

plt.boxplot(results)
So what does "results" look like?

[0.85433808345719897, 0.8976733724549345]

These are the two precision values calculated for each neural network.
Exactly what should 1Darray_of_model1_results look like? is it one value
per model or....


-- 
Best Regards,
Suranga
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