AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 269 · 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: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
2. 2.⏩ 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
3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
5. 5.🧪 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
6. 6.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) labelled fruit photos (d) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
9. 9.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
11. 11.True or false: “the learned patterns” is the model. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
13. 13.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) naming a new leaf (d) labelled fruit photos
14. 14.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “naming a new leaf” is training data. (a) False (b) True
17. 17.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds
18. 18.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
19. 19.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) tomorrow’s rain guess
20. 20.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
21. 21.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
22. 22.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is training data? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
28. 28.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) naming a new fruit photo
29. 29.⏩ 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
30. 30.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
31. 31.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
32. 32.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “old emails marked spam” is training data. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
36. 36.True or false: “the trained program” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model

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