AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 443 · 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: “500 labelled leaf photos” is a prediction. (a) True (b) False
2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
3. 3.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
4. 4.True or false: “old emails marked spam” is training data. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
6. 6.⏩ 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
7. 7.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
9. 9.⏩ 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
10. 10.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
12. 12.True or false: “flagging a new email” is a prediction. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
14. 14.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) 500 labelled leaf photos (d) recorded spoken words
15. 15.True or false: “past weather records” is training data. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
17. 17.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
18. 18.⏩ 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
19. 19.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
21. 21.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
23. 23.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) the trained program
24. 24.🔮 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
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
26. 26.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
27. 27.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) what training builds (d) old emails marked spam
28. 28.True or false: “naming a new leaf” is a prediction. (a) False (b) True
29. 29.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) past weather records (d) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
31. 31.True or false: “labelled fruit photos” is training data. (a) False (b) True
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) the trained program (d) flagging a new email
37. 37.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) old emails marked spam (d) 500 labelled leaf photos
38. 38.Which of these is training data? (a) the learned patterns (b) the trained program (c) recorded spoken words (d) what training builds
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
40. 40.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) naming a new leaf (d) recorded spoken words

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