AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 875 · 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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
2. 2.🔮 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
3. 3.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
4. 4.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) recorded spoken words (d) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
6. 6.⏩ 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
7. 7.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) recorded spoken words
9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
10. 10.True or false: “naming a new fruit photo” is training data. (a) True (b) False
11. 11.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) typing a new spoken word (d) recorded spoken words
12. 12.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
14. 14.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
15. 15.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
16. 16.True or false: “the learned patterns” is the model. (a) False (b) True
17. 17.True or false: “past weather records” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
20. 20.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
22. 22.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) past weather records (d) flagging a new email
23. 23.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
24. 24.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
25. 25.True or false: “what training builds” is the model. (a) True (b) False
26. 26.True or false: “flagging a new email” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
29. 29.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) labelled fruit photos (d) old emails marked spam
30. 30.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
31. 31.True or false: “recorded spoken words” is the model. (a) True (b) False
32. 32.True or false: “the trained program” is training data. (a) False (b) True
33. 33.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) old emails marked spam (d) the learned patterns
34. 34.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
35. 35.⏩ 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
36. 36.True or false: “the trained program” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
38. 38.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess

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