AI Worksheet: Training Data, Model, Prediction

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

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