AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 957 · 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: “the trained program” is the model. (a) True (b) False
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
3. 3.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
4. 4.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) past weather records (d) naming a new leaf
5. 5.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
6. 6.⏩ 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
7. 7.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
8. 8.True or false: “past weather records” is training data. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
10. 10.⏩ 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
11. 11.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) what training builds
12. 12.True or false: “flagging a new email” is the model. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
17. 17.True or false: “labelled fruit photos” is training data. (a) False (b) True
18. 18.True or false: “naming a new leaf” is a prediction. (a) True (b) False
19. 19.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
20. 20.⏩ 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
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
25. 25.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
26. 26.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) labelled fruit photos
27. 27.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) old emails marked spam (d) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
31. 31.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) past weather records (d) naming a new fruit photo
32. 32.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
38. 38.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
39. 39.Which of these is training data? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) naming a new leaf
40. 40.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo

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