AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 820 · 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) a prediction (b) training data (c) the model
2. 2.True or false: “flagging a new email” is training data. (a) True (b) False
3. 3.🧪 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
4. 4.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
6. 6.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
9. 9.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
10. 10.True or false: “naming a new leaf” is training data. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
14. 14.True or false: “recorded spoken words” is a prediction. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
19. 19.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) flagging a new email (d) the trained program
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
21. 21.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) naming a new fruit photo (d) past weather records
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
29. 29.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
30. 30.Which of these is the model? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) tomorrow’s rain guess
31. 31.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) typing a new spoken word
32. 32.True or false: “typing a new spoken word” is training data. (a) False (b) True
33. 33.Which of these is the model? (a) old emails marked spam (b) past weather records (c) what training builds (d) 500 labelled leaf photos
34. 34.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.True or false: “old emails marked spam” is a prediction. (a) True (b) False
38. 38.True or false: “the trained program” is the model. (a) True (b) False
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) typing a new spoken word (d) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess

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