AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 147 · 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: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
2. 2.True or false: “flagging a new email” is a prediction. (a) False (b) True
3. 3.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) the trained program (d) labelled fruit photos
4. 4.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
5. 5.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
7. 7.Which of these is training data? (a) the trained program (b) flagging a new email (c) tomorrow’s rain guess (d) past weather records
8. 8.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
9. 9.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
10. 10.True or false: “flagging a new email” is the model. (a) False (b) True
11. 11.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
13. 13.True or false: “old emails marked spam” is the model. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
15. 15.True or false: “naming a new fruit photo” is the model. (a) True (b) False
16. 16.True or false: “what training builds” is the model. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
18. 18.Which of these is the model? (a) the trained program (b) recorded spoken words (c) past weather records (d) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
20. 20.True or false: “naming a new leaf” 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.⏩ 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
23. 23.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
24. 24.🔮 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
25. 25.Which of these is the model? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) naming a new leaf
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
27. 27.True or false: “naming a new leaf” is a prediction. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
29. 29.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
30. 30.True or false: “the trained program” is the model. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
33. 33.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) typing a new spoken word
34. 34.True or false: “past weather records” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
37. 37.🧪 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
38. 38.True or false: “the learned patterns” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “the learned patterns” is a prediction. (a) True (b) False

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