AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 156 · 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.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
2. 2.True or false: “old emails marked spam” is training data. (a) False (b) True
3. 3.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
4. 4.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
5. 5.True or false: “the learned patterns” is a prediction. (a) True (b) False
6. 6.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) past weather records (d) what training builds
7. 7.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) tomorrow’s rain guess (d) 500 labelled leaf photos
8. 8.True or false: “naming a new leaf” is a prediction. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
17. 17.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
18. 18.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
19. 19.True or false: “recorded spoken words” is the model. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
21. 21.True or false: “naming a new fruit photo” is training data. (a) True (b) False
22. 22.True or false: “labelled fruit photos” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
24. 24.True or false: “past weather records” is the model. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
26. 26.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
31. 31.⏩ 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
32. 32.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) the trained program
33. 33.True or false: “the trained program” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
35. 35.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) old emails marked spam (d) tomorrow’s rain guess
36. 36.True or false: “what training builds” is a prediction. (a) True (b) False
37. 37.Which of these is the model? (a) naming a new leaf (b) what training builds (c) recorded spoken words (d) old emails marked spam
38. 38.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
40. 40.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program

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