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You should indeed try and target a 50% accuracy rate.


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Isn't 70% accuracy too close to random (50) to say it works?

Is 90% accuracy good enough to be useful?

What do you mean with accuracy here? Usually 50% accuracy means cointoss, meaning 20% accuracy is equal to 80% accuracy, which is better than the article's 78% and not that far from 90%.

I find it difficult to square a 10-40% chance of success with "fairly good accuracy".

If my accuracy was 76%, I'd be upset. I'd definitely work on accuracy over raw speed at that point.

So, 70% accuracy with 100% confidence?

I'm willing to bet your accuracy was better than 4% across an entire field.

Love this idea. However 94% accuracy is not good enough. You need to be able to trust your action will lead to the desired result. 94% is like Siri getting your whole text message right, but getting the recipient wrong.

Even for 0% accuracy?

I don't think that was the point. I think the point was that as long as you're happy with 90% accuracy, you can have that for 10% of effort.

It requires a perspective shift. Then again, cost efficiency is a big motivator.


Nobody needs 100% accuracy though, they just need better-then-current accuracy.

100% accuracy does not exist in real-world systems. 99.99999% accuracy might be good enough, though.

Well, how else are they supposed to reach 99% accuracy!?

If they're currently getting 79% accuracy, there must be some significant signal there. No idea if 95% is achievable, but unless they're already using the absolute optimal approach, something at least into the 80s should be possible.

I really hope they mean 99% accuracy.

Sure, you could probably train an AI to get 72% accuracy on that as well. It would be just as meaningless.

It's just a thought experiment. If the accuracy is -+n%, then lets say "2*n% worse".

Hum i take this back the calculation should be 0.13 * 0.89 + 0.87 * 0.5 = 55% total accuracy

Accurate? Sure. But accuracy is only one part of the picture: a system with 32% accuracy but a 0% rate of false positives would be very useful.
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