AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 952 · 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: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the trained program (d) typing a new spoken word
4. 4.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
5. 5.True or false: “naming a new leaf” is a prediction. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
9. 9.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
10. 10.True or false: “the trained program” is training data. (a) True (b) False
11. 11.True or false: “what training builds” is a prediction. (a) True (b) False
12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) flagging a new email (d) the learned patterns
13. 13.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
16. 16.True or false: “old emails marked spam” is the model. (a) False (b) True
17. 17.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) recorded spoken words
18. 18.True or false: “recorded spoken words” is training data. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
21. 21.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) 500 labelled leaf photos (d) past weather records
22. 22.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
23. 23.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) past weather records (d) what training builds
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
28. 28.True or false: “flagging a new email” is training data. (a) True (b) False
29. 29.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
39. 39.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds

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