AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 594 · 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 training data? (a) the trained program (b) recorded spoken words (c) flagging a new email (d) what training builds
2. 2.True or false: “flagging a new email” is the model. (a) False (b) True
3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
4. 4.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
5. 5.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) typing a new spoken word (d) the learned patterns
6. 6.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
8. 8.⏩ 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
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
11. 11.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
12. 12.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “typing a new spoken word” is training data. (a) True (b) False
15. 15.True or false: “past weather records” is training data. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
17. 17.True or false: “naming a new leaf” is a prediction. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) flagging a new email
21. 21.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
22. 22.True or false: “past weather records” is the model. (a) True (b) False
23. 23.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
24. 24.True or false: “typing a new spoken word” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
26. 26.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
27. 27.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
29. 29.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
30. 30.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
31. 31.True or false: “the learned patterns” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
34. 34.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
35. 35.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
36. 36.True or false: “the learned patterns” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
38. 38.⏩ 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
39. 39.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model

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