AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 963 · 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.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
3. 3.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “typing a new spoken word” is training data. (a) True (b) False
6. 6.True or false: “old emails marked spam” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
8. 8.🔮 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
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
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 happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
15. 15.True or false: “the learned patterns” is the model. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “the trained program” is the model. (a) True (b) False
20. 20.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) naming a new leaf
21. 21.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) past weather records
22. 22.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
23. 23.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
24. 24.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) past weather records (d) recorded spoken words
25. 25.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
27. 27.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
28. 28.True or false: “the learned patterns” is a prediction. (a) True (b) False
29. 29.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) what training builds (d) labelled fruit photos
30. 30.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) past weather records (d) typing a new spoken word
31. 31.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
32. 32.True or false: “recorded spoken words” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
34. 34.True or false: “past weather records” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
36. 36.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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