Advanced Search
The Advanced Search method utilizes a machine learning algorithm to discover equations. This method combines the Random Search and Randomly Iterated Search methods. Here's how it works:
- Random Search: Initially, a set of models is generated using the Random Search method within a specified timeframe.
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Randomly Iterated Search: From the models obtained in the Random Search phase, the top models with the lowest RMSE error are further explored using the Randomly Iterated Search method. The following search approaches are employed:
- Fast: Only one iteration is performed for the best model identified in the initial search phase.
- Medium: Multiple iterations are performed for the best model identified in the initial search phase.
- Detailed: Multiple iterations are conducted for the top three models identified in the initial search phase.
Search preferences can be configured in the Settings menu. It is recommended to utilize the "Medium" search method.