AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 425 · 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) a prediction (c) the model
2. 2.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) what training builds
3. 3.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) tomorrow’s rain guess
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
5. 5.Which of these is a prediction? (a) the trained program (b) what training builds (c) flagging a new email (d) labelled fruit photos
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
7. 7.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) what training builds
8. 8.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
12. 12.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
13. 13.True or false: “what training builds” is training data. (a) False (b) True
14. 14.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
18. 18.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
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.True or false: “the learned patterns” is the model. (a) True (b) False
21. 21.True or false: “the learned patterns” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
23. 23.True or false: “the trained program” is a prediction. (a) True (b) False
24. 24.True or false: “the trained program” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
26. 26.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) old emails marked spam
27. 27.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
35. 35.True or false: “the learned patterns” is training data. (a) False (b) True
36. 36.True or false: “flagging a new email” is training data. (a) True (b) False
37. 37.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
38. 38.True or false: “typing a new spoken word” is the model. (a) False (b) True
39. 39.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) flagging a new email
40. 40.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) typing a new spoken word (d) labelled fruit photos

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