AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 128 · 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) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) naming a new leaf
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
4. 4.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
5. 5.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
6. 6.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
10. 10.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
12. 12.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
13. 13.True or false: “naming a new fruit photo” is the model. (a) True (b) False
14. 14.Which of these is training data? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) flagging a new email
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
16. 16.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
17. 17.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
18. 18.⏩ 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
19. 19.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
20. 20.True or false: “flagging a new email” is a prediction. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
22. 22.Which of these is the model? (a) old emails marked spam (b) past weather records (c) 500 labelled leaf photos (d) the trained program
23. 23.Which of these is the model? (a) what training builds (b) naming a new leaf (c) typing a new spoken word (d) tomorrow’s rain guess
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
27. 27.True or false: “past weather records” is training data. (a) True (b) False
28. 28.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) what training builds (d) flagging a new email
29. 29.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
30. 30.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) 500 labelled leaf photos
31. 31.True or false: “recorded spoken words” is training data. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) labelled fruit photos
40. 40.⏩ 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

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