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tip 31 if you use cross-validation and your samples are not in an arbitrary order shuffling may be required to get meaningful results and heres how you shuffle okay so lets talk about cross validation so normally when you are using cross validation you probably pass an integer to cross validation namely cv equals 5 for example to do five fold cross validation one thing you might not know is that that does not shuffle your samples when splitting so in other words if you have a hundred rows for example in your x and you use cross file score with cv equals 5 then rows 1 through 20 of x will be in a test fold while rows 21 through 100 will be in a training fold and then the next time around rows 21 through 40 will be in a test fold and rows 1 through 20 and 41 through 100 will be in a training fold and so on so theres no shuffling going on that is why you get the same cross val score every time you run it because theres nothing random about the cross validation process so the obvious