AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 51 · 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.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
2. 2.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
4. 4.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
7. 7.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
9. 9.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
10. 10.True or false: “old emails marked spam” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
13. 13.Which of these is the model? (a) recorded spoken words (b) what training builds (c) past weather records (d) 500 labelled leaf photos
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) past weather records (d) 500 labelled leaf photos
16. 16.True or false: “old emails marked spam” is the model. (a) True (b) False
17. 17.True or false: “the learned patterns” is the model. (a) False (b) True
18. 18.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) tomorrow’s rain guess (d) naming a new leaf
19. 19.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) the trained program (d) old emails marked spam
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
21. 21.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “the trained program” is training data. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
26. 26.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
27. 27.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) tomorrow’s rain guess (d) what training builds
28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
32. 32.⏩ 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
33. 33.True or false: “the trained program” is a prediction. (a) False (b) True
34. 34.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
36. 36.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new fruit photo (d) labelled fruit photos
37. 37.Which of these is a prediction? (a) past weather records (b) the trained program (c) 500 labelled leaf photos (d) typing a new spoken word
38. 38.Which of these is a prediction? (a) what training builds (b) the trained program (c) tomorrow’s rain guess (d) recorded spoken words
39. 39.True or false: “what training builds” is a prediction. (a) True (b) False
40. 40.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) recorded spoken words

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