AI Worksheet: Training Data, Model, Prediction

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

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