AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 378 · 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 a prediction? (a) labelled fruit photos (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
2. 2.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
8. 8.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
11. 11.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) labelled fruit photos (d) what training builds
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
14. 14.True or false: “recorded spoken words” is the model. (a) True (b) False
15. 15.True or false: “old emails marked spam” is a prediction. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
18. 18.⏩ 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
19. 19.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
20. 20.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
21. 21.True or false: “old emails marked spam” is training data. (a) True (b) False
22. 22.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) flagging a new email (d) typing a new spoken word
23. 23.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) old emails marked spam
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
25. 25.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
26. 26.⏩ 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
27. 27.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
31. 31.True or false: “labelled fruit photos” is the model. (a) True (b) False
32. 32.True or false: “past weather records” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
35. 35.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
36. 36.⏩ 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
37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) flagging a new email
38. 38.True or false: “naming a new fruit photo” is training data. (a) True (b) False
39. 39.Which of these is the model? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
40. 40.True or false: “flagging a new email” is training data. (a) True (b) False

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