AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 257 · 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: “naming a new leaf” is a prediction. (a) False (b) True
2. 2.True or false: “recorded spoken words” is training data. (a) True (b) False
3. 3.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “recorded spoken words” is a prediction. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
7. 7.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) what training builds (d) naming a new leaf
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
9. 9.True or false: “past weather records” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
13. 13.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
14. 14.Which of these is training data? (a) naming a new leaf (b) what training builds (c) recorded spoken words (d) the learned patterns
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
16. 16.True or false: “naming a new leaf” is training data. (a) False (b) True
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
18. 18.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
19. 19.True or false: “flagging a new email” is a prediction. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
25. 25.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
27. 27.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
30. 30.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
31. 31.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
33. 33.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
35. 35.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
38. 38.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) what training builds
39. 39.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data

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