What exactly is a seed in a random number generator?
Jul 4, 2018 · The purpose of the seed is to allow the user to "lock" the pseudo-random number generator, to allow replicable analysis. Some analysts like to set the seed using a true random …
machine learning - Why a lot of people use random.seed () at the ...
Jul 29, 2020 · A lot of people use random.seed () at the beginning of their python code in training a machine learning model. As I understand they want to control the randomness therefore they …
How to correct for results varying with random seed?
Jan 31, 2021 · I considered taking a random sample of random seeds and taking the average of the coefficients produced, but that would only work for models with coefficients. I considered …
How do I use random seed appropriately? - Cross Validated
Sep 19, 2018 · I am writing a paper where I will analyze 6 designs. Responses for each design can be sampled from the main dataset. My question is that do I set 1 random seed for each …
Random number-Set.seed (N) in R - Cross Validated
The seed number you choose is the starting point used in the generation of a sequence of random numbers, which is why (provided you use the same pseudo-random number …
Setting random seed for final neural network model
Jul 6, 2021 · To start, I would set a random seed for doing train/test splits, for cross-validation splits on the training set, and for model random states. This way all the results would be …
Why does changing random seeds alter results? - Cross Validated
Why does changing random seeds alter results? Ask Question Asked 7 years, 1 month ago Modified 7 years, 1 month ago
Accuracy score change a lot by changing random seed in …
Oct 23, 2023 · For example, with random state = 4, I reach an accuarcy score range that may vary from 0.78 to 0.8 (it depends by the seed in the algorithm). By using another value, like 42, …
machine learning - Is random seed a hyper-parameter to tune in …
Jul 21, 2020 · For building deep neural networks, there are a lot of random components in each training. On one hand, I feel it is uncanny to "tune" random seed. But in my experience, some …
Why does a neural network trained with random data and fixed ...
Dec 14, 2022 · Is the modelling itself also random? E.g. if after generating the data x and y we set the random seed again does the seed influence the outcome?