AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 550 · 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) naming a new leaf (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
2. 2.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) recorded spoken words (d) what training builds
3. 3.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the learned patterns (d) past weather records
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
7. 7.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
10. 10.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
11. 11.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
12. 12.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) past weather records (d) the learned patterns
13. 13.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
15. 15.Which of these is the model? (a) past weather records (b) old emails marked spam (c) flagging a new email (d) the trained program
16. 16.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) 500 labelled leaf photos (d) tomorrow’s rain guess
17. 17.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
19. 19.⏩ 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
20. 20.True or false: “past weather records” is training data. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
24. 24.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) typing a new spoken word (d) what training builds
25. 25.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) naming a new fruit photo
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
28. 28.True or false: “what training builds” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
35. 35.Which of these is training data? (a) recorded spoken words (b) the trained program (c) flagging a new email (d) the learned patterns
36. 36.True or false: “naming a new fruit photo” is the model. (a) False (b) True
37. 37.True or false: “naming a new leaf” is a prediction. (a) True (b) False
38. 38.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
39. 39.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds

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