AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 838 · 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.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
2. 2.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
3. 3.⏩ 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
4. 4.True or false: “naming a new leaf” is the model. (a) True (b) False
5. 5.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
6. 6.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
7. 7.True or false: “past weather records” is training data. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
10. 10.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) the learned patterns (d) past weather records
11. 11.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
12. 12.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
13. 13.True or false: “old emails marked spam” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
15. 15.⏩ 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
16. 16.⏩ 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
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
18. 18.True or false: “recorded spoken words” is training data. (a) False (b) True
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
21. 21.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
24. 24.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (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) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new fruit photo (d) recorded spoken words
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) flagging a new email (d) past weather records
32. 32.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) typing a new spoken word (d) past weather records
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
34. 34.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
35. 35.True or false: “the learned patterns” is training data. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
39. 39.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
40. 40.⏩ 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

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