AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 437 · 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: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
2. 2.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
3. 3.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
4. 4.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) the trained program (d) the learned patterns
5. 5.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
6. 6.True or false: “past weather records” is training data. (a) False (b) True
7. 7.True or false: “naming a new fruit photo” is training data. (a) True (b) False
8. 8.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
14. 14.Which of these is a prediction? (a) past weather records (b) what training builds (c) labelled fruit photos (d) typing a new spoken word
15. 15.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) what training builds
16. 16.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) recorded spoken words (d) the learned patterns
18. 18.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
19. 19.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
20. 20.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) past weather records (d) what training builds
21. 21.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
23. 23.⏩ 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
24. 24.Which of these is a prediction? (a) what training builds (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
26. 26.True or false: “labelled fruit photos” is training data. (a) True (b) False
27. 27.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) 500 labelled leaf photos (d) what training builds
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
31. 31.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
34. 34.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) flagging a new email (d) naming a new fruit photo
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “what training builds” is the model. (a) False (b) True
39. 39.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
40. 40.True or false: “naming a new leaf” is training data. (a) False (b) True

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