TL;DR; Higher ratio leads to success..

In Machine Learning its this.

In Finance they have the same called R/R or risk reward ration

For example, if you buy a stock at an entry point of $25.60 and then place a stop-loss at $25.50 and a profit target at $25.85, the risk/reward ratio is:($25.60 - $25.50) / ($25.85 - $25.60) = $0.10 / $0.25 = 0.4

Me on decision making:

In accuracy of decision making its a number of your ideas and which are factual over some hearsay.