AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 57 · 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.🧪 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
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) the learned patterns
3. 3.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) typing a new spoken word
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
11. 11.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
15. 15.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) labelled fruit photos
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
18. 18.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
19. 19.True or false: “past weather records” is a prediction. (a) False (b) True
20. 20.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) typing a new spoken word (d) the learned patterns
21. 21.True or false: “old emails marked spam” is a prediction. (a) False (b) True
22. 22.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) recorded spoken words (d) old emails marked spam
25. 25.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
26. 26.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
27. 27.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
28. 28.True or false: “recorded spoken words” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
30. 30.True or false: “naming a new fruit photo” is the model. (a) False (b) True
31. 31.True or false: “naming a new leaf” is a prediction. (a) True (b) False
32. 32.True or false: “the trained program” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
34. 34.True or false: “the learned patterns” is the model. (a) False (b) True
35. 35.True or false: “typing a new spoken word” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
39. 39.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
40. 40.Which of these is the model? (a) past weather records (b) the trained program (c) old emails marked spam (d) naming a new fruit photo

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