AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 349 · 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.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
2. 2.🧪 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
3. 3.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
5. 5.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
6. 6.True or false: “recorded spoken words” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
8. 8.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) past weather records (d) what training builds
9. 9.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
10. 10.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
12. 12.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
15. 15.⏩ 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
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
17. 17.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
18. 18.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
19. 19.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos
20. 20.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
22. 22.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “the learned patterns” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
26. 26.Which of these is training data? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) typing a new spoken word
27. 27.Which of these is the model? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
28. 28.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program
29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
34. 34.True or false: “what training builds” is the model. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) old emails marked spam (d) flagging a new email
38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
39. 39.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
40. 40.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) what training builds (d) naming a new leaf

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