Alexandre Gomes

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Wow! Above 93% accuracy (ratio of correct predictions) on all cross-validation folds? This looks amazing, doesn’t it? Well, before you get too excited, let’s look at a very dumb classifier that just classifies every single image in the “not-5” class:
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
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