AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 367 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
2. 2.⏩ 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
3. 3.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
4. 4.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
5. 5.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
6. 6.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) flagging a new email (d) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
8. 8.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) past weather records (d) naming a new fruit photo
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
12. 12.True or false: “past weather records” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
16. 16.Which of these is training data? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) the learned patterns
17. 17.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
18. 18.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) recorded spoken words (d) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
20. 20.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) naming a new leaf (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
24. 24.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
28. 28.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
29. 29.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
30. 30.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) the learned patterns
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
32. 32.Which of these is training data? (a) old emails marked spam (b) the trained program (c) tomorrow’s rain guess (d) the learned patterns
33. 33.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
34. 34.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
36. 36.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
37. 37.True or false: “naming a new leaf” is training data. (a) False (b) True
38. 38.True or false: “recorded spoken words” is training data. (a) False (b) True
39. 39.True or false: “naming a new leaf” is a prediction. (a) False (b) True
40. 40.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) labelled fruit photos (d) old emails marked spam

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