qCANUPO (classifier files, etc.)

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Re: qCANUPO (classifier files, etc.)

Postby daniel » Thu Jun 15, 2017 4:01 pm

Well, the plugin do compute this statistics in 'training mode' (when you create your classifier, when you see it's 2D equivalent, there's a button to show all these pieces of information. However that's easy here because the user has provided the right subsets to the trainer.

Once you have applied the classifier... not sure what you can do apart from what you did...
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Re: qCANUPO (classifier files, etc.)

Postby Dimitri » Thu Jun 15, 2017 7:42 pm

Hi Lena,

to evaluate the quality of your classifier you need to apply it on a dataset that you have manually labelled (and not your training dataset). Once you have applied your classifier on all your data, you extract only class1 from the Canupo classification. From this dataset you extract the two classes that you have manually labelled and you'll be able to compute your precentage of success and error 1. You do the same for the class1 predicted by Canupo.

It's a tedious process. If your dataset is not too large you could export it after the qCanupo classif to matlab (or python) to easily extract the percentage of error much faster.

Hope this helps

Dimitri (Lague, from Brodu and Lague ;-))

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Re: qCANUPO (classifier files, etc.)

Postby Lena » Tue Jun 20, 2017 7:54 am

Hi Daniel and Dimitri,
thank you very much for the fast answers! Fortunately, my dataset is quite small. So the way to export it to matlab will be the best one, I didn't think about something like this - so thanks :)

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