Question

Model tuning helps to increase the accuracy_________.

Answer 1

The objective of parameter tuning is to find the optimum value for each parameter to improve the accuracy of the model. To tune these parameters, you must have a good understanding of these meaning and their individual impact on model. You can repeat this process with a number of well performing models.....and Tuning allows you to customize your models so they generate the most accurate outcomes and give you highly valuable insights into your data, enabling you to make the most effective business decisions.

Answer 2

Model tuning helps to increase the accuracy of a machine learning model.

Explanation:

• Tuning can be defined as the process of improvising the performance of the model without creating any hype or creating over fitting of a variance.  

• In ML models, this can be accomplished by choosing legitimate hyper parameters. These hyper parameters can be referred as a dials of the ML models.  

• Selecting the set of perfect hyper parameter is important for model accuracy. However, it is quite challenging. These parameters can also be set manually.  

Learn more about machine learning

The category of Machine Learning/AI algorithms used to detect insurance fraud is called?

https://brainly.in/question/6181092

What is the difference between artificial intelligence and machine learning

https://brainly.in/question/14749410