AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 883 · 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 the model? (a) naming a new fruit photo (b) typing a new spoken word (c) what training builds (d) past weather records
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
3. 3.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
6. 6.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
7. 7.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) recorded spoken words
8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) naming a new leaf (d) flagging a new email
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
14. 14.True or false: “past weather records” is training data. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
17. 17.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) old emails marked spam
18. 18.True or false: “recorded spoken words” is the model. (a) True (b) False
19. 19.⏩ 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
20. 20.True or false: “recorded spoken words” is training data. (a) True (b) False
21. 21.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) past weather records
22. 22.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
23. 23.⏩ 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
24. 24.True or false: “the learned patterns” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
26. 26.True or false: “naming a new fruit photo” is training data. (a) True (b) False
27. 27.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) tomorrow’s rain guess (d) the learned patterns
28. 28.🔮 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
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.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
37. 37.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
38. 38.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) old emails marked spam (d) the trained program
39. 39.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) flagging a new email
40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

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