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ml-recall

#overfitting

29 questions from ML Fundamentals, Data & Features, Linear Models & Regularization, Nearest Neighbors & Kernel Methods, Support Vector Machines, Decision Trees & Ensembles, Learning Theory, Training Deep Networks, Landmark Architectures, Computer Vision Basics

Timed test

20 questions · 20 min · score and explanations at the end

Longer test or by difficulty: mixed test with #overfitting

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Q 1 / 29Score 0 / 0

Question 1: Single choice

easyML Fundamentals

After a few epochs, training accuracy keeps rising while validation accuracy starts to drop. What is the most likely explanation?

Choose one option