| PyCaret trains and evaluates multiple machine learning models on the provided dataset using cross-validation. It ranks the models based on a specified evaluation metric (e.g., accuracy, AUC) and returns a sorted list of the top-performing models. This function helps quickly identify the best models without manual tuning. |
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| Compare different machine learning models on a dataset using PyCaret. Do feature analyses using Random Forest and LightGBM. | 3.3.2+0 | 21.05 | |