AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 647 · 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.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “flagging a new email” is training data. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
6. 6.True or false: “past weather records” is training data. (a) False (b) True
7. 7.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) what training builds (d) recorded spoken words
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
10. 10.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) tomorrow’s rain guess
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
12. 12.True or false: “labelled fruit photos” is training data. (a) True (b) False
13. 13.⏩ 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
14. 14.Which of these is training data? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
16. 16.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
17. 17.🧪 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
18. 18.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “recorded spoken words” is training data. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
24. 24.⏩ 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
25. 25.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) the trained program
26. 26.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) past weather records
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
29. 29.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
30. 30.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
32. 32.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) what training builds (d) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
35. 35.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
36. 36.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
37. 37.True or false: “past weather records” is the model. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
40. 40.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) what training builds

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