AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 910 · 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.True or false: “labelled fruit photos” is training data. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
5. 5.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
6. 6.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) labelled fruit photos (d) typing a new spoken word
7. 7.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
8. 8.True or false: “what training builds” is the model. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “flagging a new email” is a prediction. (a) False (b) True
11. 11.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
12. 12.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
13. 13.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) old emails marked spam
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
17. 17.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
18. 18.True or false: “recorded spoken words” is training data. (a) False (b) True
19. 19.True or false: “naming a new fruit photo” is training data. (a) True (b) False
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
21. 21.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
25. 25.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
26. 26.True or false: “flagging a new email” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
28. 28.True or false: “labelled fruit photos” is the model. (a) False (b) True
29. 29.True or false: “naming a new leaf” is the model. (a) True (b) False
30. 30.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
31. 31.True or false: “past weather records” is a prediction. (a) False (b) True
32. 32.True or false: “old emails marked spam” is the model. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
38. 38.True or false: “what training builds” is a prediction. (a) True (b) False
39. 39.True or false: “the learned patterns” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos

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