AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 444 · 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: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) 500 labelled leaf photos (d) the learned patterns
3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
4. 4.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
6. 6.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
7. 7.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) what training builds
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “naming a new fruit photo” is training data. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
11. 11.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
12. 12.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
13. 13.True or false: “old emails marked spam” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) the trained program (b) naming a new leaf (c) flagging a new email (d) past weather records
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
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.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
19. 19.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
20. 20.True or false: “typing a new spoken word” is training data. (a) True (b) False
21. 21.True or false: “recorded spoken words” is a prediction. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “naming a new fruit photo” is the model. (a) False (b) True
27. 27.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) past weather records (d) the trained program
28. 28.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
29. 29.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
34. 34.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) typing a new spoken word (d) labelled fruit photos
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
37. 37.True or false: “the trained program” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
39. 39.True or false: “the learned patterns” is the model. (a) False (b) True
40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False

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