Logging mechanism

The Real-Time Log Form displays the model training process. It is made up of the following:

• Algorithm Training Logs:
  This displays which algorithms are trained during the model building process.

• Accuracy Metrics:
  Each trained algorithm’s performance is shown, including relevant accuracy metrics. This helps you to evaluate the effectiveness of different algorithms before finalizing the model.

• Model Save Confirmation:
  After training, the log confirms whether the model was successfully saved or if an error occurred during the save process.