AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 665 · 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: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
3. 3.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
6. 6.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
7. 7.True or false: “recorded spoken words” is the model. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) naming a new fruit photo (d) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “what training builds” is training data. (a) True (b) False
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new leaf (d) old emails marked spam
13. 13.Which of these is the model? (a) naming a new leaf (b) the trained program (c) naming a new fruit photo (d) 500 labelled leaf photos
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
15. 15.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
19. 19.True or false: “flagging a new email” is the model. (a) False (b) True
20. 20.True or false: “recorded spoken words” is a prediction. (a) True (b) False
21. 21.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
22. 22.🧪 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
23. 23.True or false: “recorded spoken words” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
25. 25.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
26. 26.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) flagging a new email
27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
28. 28.Which of these is training data? (a) naming a new leaf (b) the trained program (c) typing a new spoken word (d) recorded spoken words
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
31. 31.True or false: “the trained program” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “the trained program” is the model. (a) True (b) False
35. 35.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the learned patterns (d) past weather records
36. 36.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) tomorrow’s rain guess (d) past weather records
37. 37.True or false: “flagging a new email” is training data. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “the learned patterns” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam

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