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

1 answers

• Nov 28, 2021 · 3 years ago
  The random state in train test split is an important factor to consider when evaluating the accuracy of cryptocurrency trading algorithms. It determines how the data is divided into training and testing sets, which can have a significant impact on the algorithm's performance. Different random states can result in different training and testing sets, leading to variations in the algorithm's accuracy. It's recommended to use a fixed random state when comparing the performance of different algorithms or making changes to the algorithm itself. This ensures that the results are consistent and comparable. However, it's also important to note that the random state is just one of many factors that can affect the accuracy of cryptocurrency trading algorithms. Other factors, such as the quality and quantity of data, the choice of features, and the algorithm's design, also play a crucial role in determining its performance.
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