AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 798 · 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.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
3. 3.True or false: “what training builds” is training data. (a) True (b) False
4. 4.True or false: “recorded spoken words” is training data. (a) True (b) False
5. 5.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
6. 6.True or false: “old emails marked spam” is training data. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “naming a new leaf” is a prediction. (a) True (b) False
12. 12.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
13. 13.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
14. 14.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
15. 15.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
16. 16.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) tomorrow’s rain guess (d) 500 labelled leaf photos
17. 17.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
20. 20.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
21. 21.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the trained program (d) flagging a new email
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
24. 24.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) labelled fruit photos (d) old emails marked spam
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
28. 28.True or false: “the learned patterns” is a prediction. (a) True (b) False
29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
30. 30.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) past weather records (d) what training builds
31. 31.True or false: “labelled fruit photos” is training data. (a) True (b) False
32. 32.True or false: “flagging a new email” is a prediction. (a) True (b) False
33. 33.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the learned patterns (d) recorded spoken words
34. 34.True or false: “old emails marked spam” is a prediction. (a) True (b) False
35. 35.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
36. 36.True or false: “the learned patterns” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
39. 39.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
40. 40.⏩ 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

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