AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 148 · 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 the model? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) tomorrow’s rain guess
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
4. 4.True or false: “recorded spoken words” is the model. (a) True (b) False
5. 5.True or false: “naming a new fruit photo” is training data. (a) True (b) False
6. 6.Which of these is the model? (a) past weather records (b) what training builds (c) tomorrow’s rain guess (d) 500 labelled leaf photos
7. 7.True or false: “naming a new leaf” is training data. (a) False (b) True
8. 8.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
9. 9.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
10. 10.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
15. 15.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
16. 16.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
17. 17.Which of these is a prediction? (a) past weather records (b) what training builds (c) naming a new leaf (d) recorded spoken words
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
21. 21.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
22. 22.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
23. 23.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
24. 24.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
25. 25.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
26. 26.⏩ 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
27. 27.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
30. 30.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
31. 31.True or false: “labelled fruit photos” is the model. (a) True (b) False
32. 32.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
34. 34.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) past weather records
35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “recorded spoken words” is a prediction. (a) False (b) True
38. 38.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) past weather records (d) the trained program
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
40. 40.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo

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