Figure 4: Bayesian optimization of the hyperparameter values on a [0, 10] range. The color gradient reflects the position in the generated sequence of hyperparameter candidates.

Its platform improves model performance through a method known as hyperparameter optimization. Hyperparameters are settings defined by developers that influence how an AI processes data.