AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 134 · 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) the learned patterns (c) past weather records (d) naming a new leaf
2. 2.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
4. 4.⏩ 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
5. 5.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) naming a new fruit photo (d) the learned patterns
6. 6.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
8. 8.True or false: “old emails marked spam” is training data. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) the trained program (d) typing a new spoken word
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
14. 14.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
16. 16.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
17. 17.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
18. 18.🔮 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
19. 19.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
20. 20.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
21. 21.True or false: “the learned patterns” is a prediction. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
25. 25.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
27. 27.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) naming a new fruit photo (d) old emails marked spam
28. 28.True or false: “naming a new leaf” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
35. 35.True or false: “naming a new fruit photo” is the model. (a) False (b) True
36. 36.Which of these is training data? (a) past weather records (b) the learned patterns (c) what training builds (d) flagging a new email
37. 37.True or false: “past weather records” is training data. (a) False (b) True
38. 38.Which of these is training data? (a) what training builds (b) flagging a new email (c) labelled fruit photos (d) typing a new spoken word
39. 39.True or false: “past weather records” is a prediction. (a) True (b) False
40. 40.True or false: “labelled fruit photos” is a prediction. (a) True (b) False

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