AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 226 · 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.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
5. 5.True or false: “recorded spoken words” is a prediction. (a) False (b) True
6. 6.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
7. 7.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
11. 11.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) flagging a new email (d) what training builds
12. 12.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) what training builds (d) past weather records
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
14. 14.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
15. 15.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) old emails marked spam (d) the learned patterns
16. 16.True or false: “labelled fruit photos” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
19. 19.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
23. 23.True or false: “old emails marked spam” is the model. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
25. 25.⏩ 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
26. 26.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) labelled fruit photos (d) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) recorded spoken words (d) flagging a new email
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
30. 30.True or false: “flagging a new email” is training data. (a) True (b) False
31. 31.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
32. 32.True or false: “flagging a new email” is the model. (a) False (b) True
33. 33.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
38. 38.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new leaf (d) past weather records
39. 39.True or false: “the trained program” is the model. (a) False (b) True
40. 40.True or false: “the learned patterns” is a prediction. (a) False (b) True

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