Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
You would use a line graph because, line graphs show you the slope. The slope represents a change in data.
Some examples of environmental technology is recycling.
<h2>The Examples Of Users:</h2>
<h2>
The Answers Are:</h2>
- Formatted summary of information from a database
- User-friendly interface for adding to or retrieving information from a database
- Stores raw data in a relational database
- Retrieves specific information from a database. Can also be used to update, edit, and remove data
<h2>
Hope it helps*^-^*All Correct!?</h2>
