AI Worksheet: Training Data, Model, Prediction

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

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