AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 360 · 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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
3. 3.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new leaf
4. 4.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) what training builds (d) naming a new leaf
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
6. 6.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) the trained program
7. 7.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
9. 9.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
11. 11.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
13. 13.True or false: “the learned patterns” is the model. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) naming a new fruit photo
17. 17.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
18. 18.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “old emails marked spam” is a prediction. (a) False (b) True
21. 21.True or false: “old emails marked spam” is training data. (a) False (b) True
22. 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
23. 23.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
24. 24.True or false: “past weather records” is a prediction. (a) True (b) False
25. 25.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) labelled fruit photos (d) the trained program
26. 26.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
27. 27.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
28. 28.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) old emails marked spam (d) what training builds
29. 29.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
30. 30.True or false: “naming a new leaf” is training data. (a) False (b) True
31. 31.True or false: “recorded spoken words” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
33. 33.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
34. 34.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the trained program (d) naming a new leaf
35. 35.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the trained program
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “labelled fruit photos” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction

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