AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 857 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) labelled fruit photos (d) the learned patterns
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
4. 4.Which of these is a prediction? (a) naming a new fruit photo (b) labelled fruit photos (c) 500 labelled leaf photos (d) what training builds
5. 5.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) naming a new leaf
6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
7. 7.⏩ 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
8. 8.True or false: “what training builds” is the model. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
11. 11.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) typing a new spoken word (d) 500 labelled leaf photos
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
17. 17.⏩ 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
18. 18.⏩ 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
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
20. 20.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
21. 21.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
22. 22.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
23. 23.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) what training builds (d) recorded spoken words
24. 24.True or false: “flagging a new email” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
26. 26.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) what training builds (d) flagging a new email
28. 28.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
30. 30.True or false: “recorded spoken words” is training data. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) flagging a new email
33. 33.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) the trained program
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
35. 35.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
36. 36.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
38. 38.True or false: “past weather records” is the model. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
40. 40.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) typing a new spoken word (d) the learned patterns

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