Figure 6.
Hyperparameter tuning setup for SynAI core training. For machine learning algorithms such as random forest, similar hyperparameter tuning tests were also performed. The network parameters are replaced with random forest parameters such as maximum depth, number of estimators, number of features and minimum leaf split.

Hyperparameter tuning setup for SynAI core training. For machine learning algorithms such as random forest, similar hyperparameter tuning tests were also performed. The network parameters are replaced with random forest parameters such as maximum depth, number of estimators, number of features and minimum leaf split.

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