Model output values vs the Model output values

Examples:

• The analysis of model output values revealed interesting patterns.
• It is important to interpret model output values accurately.
• The comparison of different model output values can provide insights into the model's performance.
• Researchers often examine model output values to understand the underlying processes.
• Model output values can be visualized to facilitate interpretation.

Alternatives:

• output values from the model
• values generated by the model
• model's output data
• results of the model
• model's generated values

Examples:

• The analysis of the model output values showed a high level of accuracy.
• It is crucial to understand the context of the model output values.
• The comparison of the model output values with ground truth data is essential.
• Researchers focused on the model output values to validate the model's predictions.
• The model output values were used to make informed decisions.

Alternatives:

• output values from that model
• values generated by that model
• specific model's output data
• results of that model
• specific model's generated values