How to Manually Optimize Machine Learning Model Hyperparameters

 By Machine Learning Mastery - 2021-03-23

Description

Machine learning algorithms have hyperparameters that allow the algorithms to be tailored to specific datasets. Although the impact of hyperparameters may be understood generally, their specific effec ...

Summary

  • Machine learning algorithms have hyperparameters that allow the algorithms to be tailored to specific datasets.
  • Running the example evaluates the model and reports the mean and standard deviation of the classification accuracy.
  • Sensible values are between 1 tree and hundreds or thousands of trees.
  • 1 2 3 ... # starting point for the search solution=step([0.1,100,1.0,7]) Tying this together, the complete example of manually tuning the hyperparameters of the XGBoost algorithm using a stochastic hill climbing algorithm is listed below.

 

Topics

  1. Machine_Learning (0.27)
  2. NLP (0.22)
  3. Stock (0.09)

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