The seed parameter controls the behavior of a random number generator, which is used to select the random rows of training data for each k-NN regressor. Because there is an element of randomness, the ...

Random numbers are important for computer encryption, lotteries, scientific modelling, and gambling. Current methods of generating random numbers can produce predictable results.