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@@ -282,6 +282,7 @@ Understanding SVM Regression: [slides](https://cs.adelaide.edu.au/~chhshen/teach
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#### Classification
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[Talk](https://www.youtube.com/watch?v=DkLPYccEJ8Y), [Notebook](https://github.com/ianozsvald/data_science_delivered/blob/master/ml_creating_correct_capable_classifiers.ipynb)
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[Blog post: Probability Scoring](https://machinelearningmastery.com/how-to-score-probability-predictions-in-python/)
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[All classification metrics](http://rali.iro.umontreal.ca/rali/sites/default/files/publis/SokolovaLapalme-JIPM09.pdf)
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[DESlib](https://github.com/scikit-learn-contrib/DESlib) - Dynamic classifier and ensemble selection
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