AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 315 · 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 training data? (a) naming a new fruit photo (b) typing a new spoken word (c) labelled fruit photos (d) what training builds
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) the learned patterns (d) naming a new fruit photo
3. 3.⏩ 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
4. 4.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
6. 6.True or false: “the learned patterns” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
8. 8.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
9. 9.True or false: “past weather records” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) naming a new leaf (d) what training builds
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
16. 16.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) old emails marked spam
17. 17.True or false: “naming a new leaf” is the model. (a) True (b) False
18. 18.True or false: “recorded spoken words” is a prediction. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
20. 20.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
23. 23.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
24. 24.True or false: “the trained program” is a prediction. (a) False (b) True
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
26. 26.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
33. 33.⏩ 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
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
35. 35.True or false: “labelled fruit photos” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
38. 38.Which of these is the model? (a) past weather records (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
39. 39.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
40. 40.True or false: “past weather records” is a prediction. (a) True (b) False

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