AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 718 · 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.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
2. 2.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) old emails marked spam (d) what training builds
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
4. 4.⏩ 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
5. 5.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
6. 6.Which of these is the model? (a) past weather records (b) the trained program (c) recorded spoken words (d) labelled fruit photos
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
11. 11.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
12. 12.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
14. 14.True or false: “labelled fruit photos” is training data. (a) False (b) True
15. 15.True or false: “naming a new leaf” is a prediction. (a) False (b) True
16. 16.⏩ 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
17. 17.True or false: “past weather records” is the model. (a) False (b) True
18. 18.True or false: “what training builds” is the model. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
21. 21.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) the learned patterns (d) labelled fruit photos
22. 22.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) past weather records (d) the trained program
23. 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
25. 25.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) 500 labelled leaf photos
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
31. 31.True or false: “the learned patterns” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
33. 33.True or false: “the trained program” is a prediction. (a) False (b) True
34. 34.True or false: “past weather records” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program

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