Update base experiment with 3w dataset 2.0

[castrokelly]

This pull request updates the base experiment (base_experiment.py) in the MAIS (Modular Artificial Intelligence System) to be compatible with the 3W Dataset 2.0.

Changes made:

• Updated selected_tags: The selected_tags attribute now uses the VARS variable from base.py, which contains the correct column names for the 3W Dataset 2.0.
• Included imputed instance type: The instance_types attribute now includes the "imputed" type, allowing the base experiment to use the manually inserted data from the 3W Dataset 2.0.
• Updated tgt_events: The tgt_events attribute now uses the EVENT_NAMES variable from base.py, which contains the correct event names for the 3W Dataset 2.0.

Benefits:

• Compatibility with 3W Dataset 2.0: The base experiment is now compatible with the latest version of the dataset, allowing users to leverage the new data and features.
• Improved data usage: The inclusion of the imputed instance type allows the base experiment to utilize all available data in the 3W Dataset 2.0.
• Correct event handling: The updated tgt_events attribute ensures that the base experiment correctly handles the events defined in the 3W Dataset 2.0.

This update ensures that the base experiment in the MAIS is up-to-date and compatible with the 3W Dataset 2.0, providing a solid foundation for building and testing machine learning models for anomaly detection in oil wells.

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