AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 86 · 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.Which of these is training data? (a) past weather records (b) flagging a new email (c) the learned patterns (d) what training builds
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “the learned patterns” is the model. (a) False (b) True
5. 5.True or false: “labelled fruit photos” is training data. (a) True (b) False
6. 6.True or false: “recorded spoken words” is the model. (a) True (b) False
7. 7.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “labelled fruit photos” is the model. (a) False (b) True
13. 13.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
15. 15.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) old emails marked spam (d) what training builds
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
17. 17.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
18. 18.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
21. 21.⏩ 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
22. 22.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
23. 23.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) what training builds
24. 24.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
25. 25.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
26. 26.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
27. 27.True or false: “what training builds” is training data. (a) False (b) True
28. 28.Which of these is the model? (a) the learned patterns (b) past weather records (c) old emails marked spam (d) recorded spoken words
29. 29.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
30. 30.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the learned patterns (d) old emails marked spam
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
32. 32.True or false: “the trained program” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.True or false: “typing a new spoken word” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
37. 37.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo

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