AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 505 · 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.True or false: “typing a new spoken word” is the model. (a) True (b) False
3. 3.Which of these is training data? (a) the learned patterns (b) the trained program (c) typing a new spoken word (d) past weather records
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
6. 6.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) tomorrow’s rain guess (d) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
10. 10.🧪 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
11. 11.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
12. 12.True or false: “the trained program” is the model. (a) False (b) True
13. 13.Which of these is the model? (a) old emails marked spam (b) the trained program (c) recorded spoken words (d) flagging a new email
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
15. 15.True or false: “typing a new spoken word” is training data. (a) False (b) True
16. 16.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
18. 18.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
19. 19.True or false: “naming a new leaf” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
21. 21.True or false: “flagging a new email” is the model. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) the trained program
24. 24.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
25. 25.Which of these is training data? (a) the learned patterns (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
27. 27.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
28. 28.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
29. 29.True or false: “naming a new leaf” is a prediction. (a) False (b) True
30. 30.True or false: “the learned patterns” is the model. (a) True (b) False
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
32. 32.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) recorded spoken words (d) old emails marked spam
33. 33.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) past weather records
34. 34.True or false: “past weather records” is the model. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
36. 36.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
37. 37.True or false: “flagging a new email” is training data. (a) False (b) True
38. 38.True or false: “what training builds” is training data. (a) True (b) False
39. 39.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
40. 40.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new fruit photo

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