AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 159 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.True or false: “the trained program” is the model. (a) False (b) True
2. 2.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
4. 4.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
5. 5.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
6. 6.True or false: “flagging a new email” is a prediction. (a) False (b) True
7. 7.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
8. 8.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) the learned patterns (d) 500 labelled leaf photos
9. 9.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) labelled fruit photos
10. 10.True or false: “naming a new leaf” is the model. (a) True (b) False
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
12. 12.True or false: “old emails marked spam” is a prediction. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
14. 14.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) naming a new fruit photo (d) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
16. 16.True or false: “recorded spoken words” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “what training builds” is the model. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
23. 23.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) recorded spoken words (d) the learned patterns
24. 24.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
25. 25.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) old emails marked spam
26. 26.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) naming a new leaf (d) what training builds
27. 27.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
28. 28.Which of these is the model? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
30. 30.True or false: “naming a new leaf” is training data. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
33. 33.Which of these is training data? (a) past weather records (b) naming a new leaf (c) naming a new fruit photo (d) the trained program
34. 34.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
39. 39.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) flagging a new email
40. 40.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos

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