AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 216 · 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: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
2. 2.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) what training builds (d) naming a new leaf
5. 5.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
6. 6.⏩ 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
7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
9. 9.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) naming a new fruit photo (d) flagging a new email
10. 10.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) typing a new spoken word (d) the learned patterns
11. 11.True or false: “labelled fruit photos” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
14. 14.🧪 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
15. 15.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
16. 16.True or false: “what training builds” is the model. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
18. 18.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.Which of these is training data? (a) the learned patterns (b) the trained program (c) past weather records (d) naming a new leaf
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
25. 25.⏩ 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
26. 26.True or false: “naming a new leaf” is a prediction. (a) False (b) True
27. 27.True or false: “old emails marked spam” is a prediction. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “recorded spoken words” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
34. 34.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
36. 36.True or false: “typing a new spoken word” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
38. 38.⏩ 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
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error

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