Follow up post: (Looking for some more reviews on automl before I start using it)

I’ve heard AutoML(google or amazon) is used to find the optimal ML model.

–>How does AutoML really do when it comes to model selection?

–>what about when it comes to cross-validation of the models?

–>Does it really find the ‘best’ model?

—>What are your criteria of what’s considered best?

“weak/slow;

interpretability/representability;

replicability?

confidence/performance;

biased/data-hungry.”

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Welcome all reviews-good/bad! 🙂