AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 556 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
5. 5.🔮 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
6. 6.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
7. 7.Which of these is training data? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new fruit photo
8. 8.Which of these is training data? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
9. 9.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
10. 10.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
11. 11.True or false: “past weather records” is the model. (a) True (b) False
12. 12.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
15. 15.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
16. 16.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) tomorrow’s rain guess (d) the learned patterns
17. 17.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
21. 21.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) recorded spoken words (d) 500 labelled leaf photos
22. 22.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
26. 26.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
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: “recorded spoken words” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
30. 30.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
31. 31.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
35. 35.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) naming a new leaf
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is a prediction? (a) what training builds (b) past weather records (c) old emails marked spam (d) naming a new fruit photo

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