AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 142 · 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: “past weather records”? (a) training data (b) the model (c) a prediction
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.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
4. 4.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) old emails marked spam (d) past weather records
7. 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
9. 9.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) old emails marked spam (d) flagging a new email
10. 10.Which of these is the model? (a) past weather records (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “past weather records” is training data. (a) True (b) False
13. 13.True or false: “naming a new fruit photo” is the model. (a) False (b) True
14. 14.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
15. 15.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new fruit photo (d) 500 labelled leaf photos
16. 16.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
18. 18.🔮 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
19. 19.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
23. 23.True or false: “typing a new spoken word” is the model. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
25. 25.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) flagging a new email (d) tomorrow’s rain guess
26. 26.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) recorded spoken words (d) what training builds
27. 27.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
28. 28.True or false: “old emails marked spam” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
30. 30.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
31. 31.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) 500 labelled leaf photos (d) typing a new spoken word
32. 32.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) past weather records (d) naming a new fruit photo
33. 33.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
34. 34.Which of these is training data? (a) the trained program (b) what training builds (c) past weather records (d) typing a new spoken word
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
37. 37.True or false: “what training builds” is training data. (a) False (b) True
38. 38.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) what training builds (d) past weather records
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program

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