AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 543 · 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.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) past weather records (d) the learned patterns
2. 2.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) 500 labelled leaf photos (d) flagging a new email
3. 3.True or false: “the learned patterns” is the model. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “the trained program” is the model. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.True or false: “the learned patterns” is training data. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
12. 12.⏩ 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
13. 13.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
14. 14.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “past weather records” is a prediction. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
22. 22.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
23. 23.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) the learned patterns (d) naming a new fruit photo
24. 24.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
27. 27.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) naming a new fruit photo (d) typing a new spoken word
28. 28.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
29. 29.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) the learned patterns
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “naming a new leaf” is the model. (a) True (b) False
34. 34.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) past weather records (d) the trained program
37. 37.True or false: “naming a new fruit photo” is training data. (a) False (b) True
38. 38.True or false: “old emails marked spam” is training data. (a) False (b) True
39. 39.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam

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