AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 574 · 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.True or false: “old emails marked spam” is a prediction. (a) True (b) False
2. 2.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
3. 3.True or false: “old emails marked spam” is training data. (a) False (b) True
4. 4.True or false: “recorded spoken words” is a prediction. (a) False (b) True
5. 5.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) typing a new spoken word
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
7. 7.🔮 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
8. 8.True or false: “naming a new leaf” is a prediction. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
10. 10.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
11. 11.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) old emails marked spam
13. 13.True or false: “labelled fruit photos” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
15. 15.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
17. 17.True or false: “flagging a new email” is a prediction. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
21. 21.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
22. 22.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
23. 23.True or false: “past weather records” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
29. 29.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
30. 30.True or false: “past weather records” is a prediction. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
32. 32.True or false: “labelled fruit photos” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
35. 35.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) labelled fruit photos
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
37. 37.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
39. 39.Which of these is the model? (a) flagging a new email (b) what training builds (c) naming a new leaf (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns

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