Robotics & Artificial Intelligence
Which key component of AI evaluation is used for making forecasts about unknown data using a trained model?
- Reality
- System map
- Prediction
- Problem statement template
AI Project Framework
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Answer
Prediction
Reason — Prediction is the process of making forecasts or inferences about unknown or future data using a trained AI model and the patterns it has learned from training data.
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Related Questions
Which of the following stages of the AI project cycle focuses on testing the selected AI model, and the results need to be compared with the expected outcome?
- Evaluation
- Data exploration
- Data acquisition
- Problem scoping
In which approach does the machine follow the rules defined by the developer and produce the required output?
- Learning-based approach
- Rule-based approach
- Both a and b
- None of these
…………… is a visual diagram that shows how all the elements are connected or related to each other.
- 4Ws canvas
- System map
- Decision tree
- Pixel It
Fill in the blanks:
- ……………. is the process of assessing the reliability and efficiency of any AI model.
- The 4Ws Problem Canvas provides structured framework in the ……………. stage of the AI project cycle.
- Once a model has been developed and trained, it is important to thoroughly test its ……………. and calculate its efficiency.
- AI ……………. refers to developing a program or algorithm that can be used to draw conclusions or generate predictions.
- A/An ……………. chart is a graph that shows the relationship between two set of values.
- ……………. data is the initial dataset used to train an AI model.
- Data features describe the type of information that will be collected in response to the ……………. statement.
- The ……………. helps to find the relationship between the elements of the scoped problem.
- In the 4Ws canvas, the ……………. block helps identify the people who are directly or indirectly affected by the problem.
- In ……………. learning, the model is trained on a labelled dataset.