AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 96 · 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.True or false: “naming a new leaf” is a prediction. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
4. 4.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) what training builds (d) tomorrow’s rain guess
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.Which of these is the model? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) typing a new spoken word
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
8. 8.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
9. 9.🔮 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
10. 10.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
12. 12.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) naming a new leaf
13. 13.⏩ 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
14. 14.Which of these is the model? (a) past weather records (b) flagging a new email (c) the learned patterns (d) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
17. 17.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
19. 19.Which of these is training data? (a) what training builds (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
21. 21.Which of these is training data? (a) past weather records (b) flagging a new email (c) tomorrow’s rain guess (d) typing a new spoken word
22. 22.True or false: “old emails marked spam” is a prediction. (a) True (b) False
23. 23.True or false: “typing a new spoken word” is training data. (a) True (b) False
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
27. 27.True or false: “old emails marked spam” is the model. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
31. 31.🧪 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
32. 32.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
33. 33.True or false: “recorded spoken words” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
35. 35.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
36. 36.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) past weather records (d) flagging a new email
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
40. 40.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new fruit photo (d) naming a new leaf

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