AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 426 · 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: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
2. 2.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
4. 4.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
6. 6.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
7. 7.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
9. 9.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
10. 10.True or false: “the learned patterns” is training data. (a) False (b) True
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) labelled fruit photos (d) the trained program
12. 12.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
13. 13.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) recorded spoken words (d) labelled fruit photos
14. 14.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) what training builds (d) 500 labelled leaf photos
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “past weather records” is a prediction. (a) False (b) True
18. 18.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) the trained program (d) past weather records
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.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is training data? (a) naming a new leaf (b) what training builds (c) the learned patterns (d) past weather records
23. 23.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the learned patterns (d) naming a new leaf
24. 24.True or false: “what training builds” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
29. 29.True or false: “flagging a new email” is the model. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
32. 32.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
33. 33.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) what training builds
34. 34.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
35. 35.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
36. 36.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
37. 37.Which of these is training data? (a) the learned patterns (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words

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