AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 227 · 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.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
6. 6.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
7. 7.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
8. 8.True or false: “flagging a new email” is training data. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
15. 15.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) recorded spoken words (d) the learned patterns
16. 16.Which of these is training data? (a) the trained program (b) past weather records (c) tomorrow’s rain guess (d) what training builds
17. 17.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
18. 18.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
19. 19.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) recorded spoken words
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
21. 21.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) naming a new leaf
22. 22.Which of these is training data? (a) flagging a new email (b) what training builds (c) the learned patterns (d) recorded spoken words
23. 23.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
24. 24.True or false: “the learned patterns” is training data. (a) False (b) True
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
28. 28.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
29. 29.Which of these is the model? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) typing a new spoken word
30. 30.🧪 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
31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
33. 33.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
34. 34.True or false: “old emails marked spam” is a prediction. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
36. 36.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
37. 37.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) naming a new leaf (d) the learned patterns
38. 38.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
40. 40.Which of these is training data? (a) the trained program (b) the learned patterns (c) old emails marked spam (d) naming a new leaf

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