AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 266 · 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: “the learned patterns” is a prediction. (a) False (b) True
2. 2.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) flagging a new email (d) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
5. 5.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
8. 8.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
11. 11.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
12. 12.True or false: “the trained program” is the model. (a) False (b) True
13. 13.True or false: “typing a new spoken word” is the model. (a) True (b) False
14. 14.Which of these is training data? (a) flagging a new email (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
15. 15.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
16. 16.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) labelled fruit photos
17. 17.True or false: “recorded spoken words” is training data. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
22. 22.⏩ 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
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
24. 24.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
25. 25.True or false: “naming a new leaf” is a prediction. (a) True (b) False
26. 26.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) recorded spoken words
27. 27.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
28. 28.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
29. 29.Which of these is training data? (a) the learned patterns (b) the trained program (c) flagging a new email (d) recorded spoken words
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.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
37. 37.True or false: “labelled fruit photos” is the model. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns

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