AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 180 · 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: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) flagging a new email (d) what training builds
3. 3.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) the trained program (d) typing a new spoken word
5. 5.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
6. 6.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) naming a new leaf (d) recorded spoken words
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
9. 9.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
11. 11.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is the model? (a) old emails marked spam (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
14. 14.True or false: “flagging a new email” is a prediction. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
18. 18.Which of these is a prediction? (a) past weather records (b) the trained program (c) naming a new fruit photo (d) 500 labelled leaf photos
19. 19.True or false: “old emails marked spam” is the model. (a) False (b) True
20. 20.True or false: “recorded spoken words” is a prediction. (a) True (b) False
21. 21.True or false: “past weather records” is training data. (a) False (b) True
22. 22.True or false: “labelled fruit photos” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
24. 24.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
26. 26.True or false: “naming a new leaf” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
28. 28.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “the trained program” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) old emails marked spam (d) the learned patterns
34. 34.Which of these is training data? (a) what training builds (b) the learned patterns (c) old emails marked spam (d) the trained program
35. 35.True or false: “old emails marked spam” is training data. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.True or false: “labelled fruit photos” is training data. (a) False (b) True
38. 38.Which of these is the model? (a) old emails marked spam (b) past weather records (c) 500 labelled leaf photos (d) what training builds
39. 39.True or false: “flagging a new email” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds

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