AI Worksheet: Training Data, Model, Prediction

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

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