AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 780 · 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.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “old emails marked spam” is the model. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
6. 6.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) labelled fruit photos (d) flagging a new email
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
8. 8.True or false: “the trained program” is the model. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
11. 11.True or false: “naming a new fruit photo” is training data. (a) True (b) False
12. 12.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) what training builds
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
14. 14.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
15. 15.True or false: “past weather records” is training data. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the trained program (d) flagging a new email
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
21. 21.True or false: “what training builds” is the model. (a) True (b) False
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
23. 23.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
24. 24.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
25. 25.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) tomorrow’s rain guess
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
27. 27.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) what training builds (d) past weather records
28. 28.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) past weather records
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
30. 30.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
31. 31.True or false: “naming a new leaf” is the model. (a) False (b) True
32. 32.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
33. 33.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
35. 35.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) what training builds (d) the trained program
36. 36.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
37. 37.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
38. 38.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo

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