AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 48 · 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: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
3. 3.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
4. 4.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
5. 5.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
6. 6.True or false: “what training builds” is a prediction. (a) False (b) True
7. 7.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) the learned patterns (d) naming a new leaf
8. 8.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
9. 9.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
10. 10.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
11. 11.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) the trained program (d) the learned patterns
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
13. 13.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) what training builds
14. 14.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) tomorrow’s rain guess (d) 500 labelled leaf photos
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
22. 22.🧪 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
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
24. 24.True or false: “the trained program” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
26. 26.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new leaf (d) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
29. 29.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
30. 30.True or false: “naming a new leaf” is a prediction. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
32. 32.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “flagging a new email” is a prediction. (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: “old emails marked spam” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
39. 39.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) recorded spoken words
40. 40.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False

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