Mind Cafe
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Mind Cafe

The 85% Rule for Learning

Learning, it seems, is optimized for both humans and machines when we succeed around 85% of the time. From a recent paper by Wilson, Shenhav, Straccia and Cohen:

In many situations we find that there is a sweet spot in which training is neither too easy nor too hard, and where learning progresses most quickly. […] For all of these stochastic gradient-descent based learning algorithms, we find that the optimal error rate for training is around 15.87% or, conversely, that the optimal training accuracy is about 85%.

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Scott H. Young

Scott H. Young

Author of WSJ best selling book: Ultralearning www.scotthyoung.com | Twitter: @scotthyoung