AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 427 · 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: “recorded spoken words” is a prediction. (a) True (b) False
2. 2.True or false: “old emails marked spam” is a prediction. (a) False (b) True
3. 3.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
4. 4.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) the trained program (d) 500 labelled leaf photos
5. 5.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
6. 6.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
7. 7.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
8. 8.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
9. 9.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
10. 10.🔮 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
11. 11.⏩ 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
12. 12.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
14. 14.True or false: “naming a new fruit photo” is training data. (a) False (b) True
15. 15.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) old emails marked spam (d) past weather records
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “recorded spoken words” is the model. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
19. 19.True or false: “what training builds” is the model. (a) False (b) True
20. 20.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
21. 21.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) naming a new leaf
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
23. 23.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
24. 24.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
26. 26.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) tomorrow’s rain guess (d) the learned patterns
27. 27.⏩ 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
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
30. 30.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
31. 31.True or false: “the trained program” is training data. (a) False (b) True
32. 32.True or false: “labelled fruit photos” is training data. (a) True (b) False
33. 33.True or false: “old emails marked spam” is training data. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
37. 37.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) naming a new fruit photo (d) what training builds
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
39. 39.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records

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