AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 193 · 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.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) flagging a new email
2. 2.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) the trained program
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
4. 4.⏩ 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
5. 5.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) the trained program (d) what training builds
6. 6.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
8. 8.Which of these is a prediction? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) old emails marked spam
9. 9.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
10. 10.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
11. 11.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) the trained program
12. 12.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
13. 13.True or false: “past weather records” is a prediction. (a) True (b) False
14. 14.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) what training builds (d) old emails marked spam
15. 15.True or false: “recorded spoken words” is training data. (a) False (b) True
16. 16.⏩ 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
17. 17.True or false: “recorded spoken words” is the model. (a) True (b) False
18. 18.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) tomorrow’s rain guess (d) past weather records
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
20. 20.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
22. 22.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
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.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) past weather records (d) the learned patterns
27. 27.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
30. 30.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) tomorrow’s rain guess (d) the learned patterns
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
34. 34.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
36. 36.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
39. 39.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program

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