AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 352 · 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 leaf”? (a) training data (b) a prediction (c) the model
2. 2.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
3. 3.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) recorded spoken words
4. 4.True or false: “naming a new leaf” is a prediction. (a) True (b) False
5. 5.True or false: “recorded spoken words” is training data. (a) False (b) True
6. 6.True or false: “old emails marked spam” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
8. 8.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) naming a new leaf (d) old emails marked spam
9. 9.True or false: “the learned patterns” is a prediction. (a) False (b) True
10. 10.⏩ 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
11. 11.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
12. 12.True or false: “the learned patterns” is the model. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “flagging a new email” is a prediction. (a) True (b) False
15. 15.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
16. 16.🔮 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
17. 17.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
18. 18.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “the trained program” is the model. (a) False (b) True
21. 21.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
22. 22.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) what training builds
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
25. 25.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
28. 28.True or false: “naming a new fruit photo” is the model. (a) False (b) True
29. 29.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) the learned patterns
36. 36.True or false: “labelled fruit photos” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
40. 40.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) what training builds (d) naming a new leaf

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