> A common point raised by ML reviewers is that a method is too simple or is made of existing parts.
And this is self-evidently true:
> ...simplicity is a strength, not a weakness. People are much more likely to adopt simple methods, and simple ones are also typically more interpretable and intuitive.
It happens on a lot of different fields. For instance, a lot of investment management firms offer complicated investment strategies with high fees, even if a simpler strategy would do just as well. Quoting Warren Buffett:
> Investors should remember that their scorecard is not computed using Olympic-diving methods: Degree-of-difficulty doesn't count. If you are right about a business whole value is largely dependent on a single key factor that is both easy to understand and enduring, the payoff is the same as if you had correctly analyzed an investment alternative characterized by many constantly shifting and complex variables.[a]
> A common point raised by ML reviewers is that a method is too simple or is made of existing parts.
And this is self-evidently true:
> ...simplicity is a strength, not a weakness. People are much more likely to adopt simple methods, and simple ones are also typically more interpretable and intuitive.
It happens on a lot of different fields. For instance, a lot of investment management firms offer complicated investment strategies with high fees, even if a simpler strategy would do just as well. Quoting Warren Buffett:
> Investors should remember that their scorecard is not computed using Olympic-diving methods: Degree-of-difficulty doesn't count. If you are right about a business whole value is largely dependent on a single key factor that is both easy to understand and enduring, the payoff is the same as if you had correctly analyzed an investment alternative characterized by many constantly shifting and complex variables.[a]
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[a] http://www.berkshirehathaway.com/letters/1994.html