How does the random state in train test split affect the performance of cryptocurrency trading algorithms?

3 answers

• MadanDec 07, 2021 · 4 years ago
  The random state in train test split plays a crucial role in the performance of cryptocurrency trading algorithms. By setting a specific random state, you ensure that the data is split in a consistent manner during training and testing. This helps in evaluating the algorithm's performance accurately and allows for better comparison between different models. Without a fixed random state, the data split would be random each time, leading to inconsistent results and making it difficult to assess the algorithm's effectiveness. So, the random state provides stability and reproducibility in evaluating the performance of cryptocurrency trading algorithms.
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• Ellis MonJun 28, 2020 · 5 years ago
  When it comes to the random state in train test split, it's all about consistency. By setting a specific random state, you ensure that the algorithm is trained and tested on the same data splits every time. This allows for a fair comparison between different algorithms and helps in identifying the best performing one. Without a fixed random state, the data splits would be different each time, leading to varying results and making it challenging to determine the algorithm's true performance. So, if you want reliable and consistent results, make sure to set a random state in your train test split.
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• MeakAug 26, 2020 · 5 years ago
  The random state in train test split is an important factor to consider when evaluating the performance of cryptocurrency trading algorithms. At BYDFi, we have found that using a fixed random state helps in ensuring consistent and reliable results. It allows us to compare different algorithms accurately and make informed decisions. Without a fixed random state, the data splits would be random each time, making it difficult to assess the true performance of the algorithms. So, if you want to optimize your cryptocurrency trading strategies, don't overlook the impact of the random state in train test split.
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