AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 215 · 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: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) what training builds (d) recorded spoken words
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
4. 4.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
5. 5.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
6. 6.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
7. 7.🔮 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
8. 8.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
12. 12.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
13. 13.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
14. 14.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
15. 15.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) labelled fruit photos (d) 500 labelled leaf photos
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “the learned patterns” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “the trained program” is training data. (a) False (b) True
22. 22.Which of these is training data? (a) the trained program (b) flagging a new email (c) typing a new spoken word (d) labelled fruit photos
23. 23.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
24. 24.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
25. 25.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
27. 27.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
28. 28.True or false: “old emails marked spam” is the model. (a) True (b) False
29. 29.True or false: “what training builds” is the model. (a) True (b) False
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
32. 32.Which of these is training data? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new fruit photo
33. 33.Which of these is a prediction? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) old emails marked spam
34. 34.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
35. 35.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
37. 37.True or false: “old emails marked spam” is training data. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.Which of these is the model? (a) flagging a new email (b) past weather records (c) old emails marked spam (d) what training builds
40. 40.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf

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