AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 65 · 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.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
3. 3.Which of these is the model? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) past weather records
4. 4.True or false: “old emails marked spam” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
6. 6.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
7. 7.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
8. 8.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new leaf (d) the trained program
9. 9.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) 500 labelled leaf photos (d) naming a new leaf
10. 10.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
11. 11.True or false: “naming a new fruit photo” is training data. (a) False (b) True
12. 12.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new fruit photo
13. 13.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) flagging a new email
14. 14.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is training data? (a) what training builds (b) flagging a new email (c) labelled fruit photos (d) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
20. 20.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) labelled fruit photos (d) 500 labelled leaf photos
21. 21.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) recorded spoken words (d) what training builds
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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
24. 24.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) typing a new spoken word (d) the trained program
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
27. 27.True or false: “labelled fruit photos” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
30. 30.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
31. 31.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
32. 32.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
33. 33.True or false: “past weather records” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
35. 35.True or false: “naming a new leaf” is the model. (a) False (b) True
36. 36.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
37. 37.True or false: “flagging a new email” is training data. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “the trained program” is training data. (a) True (b) False
40. 40.Which of these is a prediction? (a) the trained program (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos

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