AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 565 · 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: “tomorrow’s rain guess” is the model. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
5. 5.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
6. 6.⏩ 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
7. 7.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
9. 9.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
11. 11.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is a prediction? (a) past weather records (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
15. 15.True or false: “recorded spoken words” is a prediction. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
18. 18.Which of these is training data? (a) the learned patterns (b) past weather records (c) the trained program (d) naming a new fruit photo
19. 19.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
20. 20.True or false: “the learned patterns” is the model. (a) True (b) False
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
22. 22.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) recorded spoken words
23. 23.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
24. 24.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
25. 25.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
26. 26.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
29. 29.Which of these is a prediction? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
34. 34.True or false: “flagging a new email” is a prediction. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.⏩ 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
39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
40. 40.True or false: “what training builds” is a prediction. (a) True (b) False

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