AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 781 · 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: “past weather records” is training data. (a) True (b) False
2. 2.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) recorded spoken words
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
4. 4.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
5. 5.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
6. 6.⏩ 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
7. 7.⏩ 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
8. 8.True or false: “old emails marked spam” is training data. (a) False (b) True
9. 9.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
10. 10.⏩ 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
11. 11.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) old emails marked spam (d) recorded spoken words
12. 12.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) recorded spoken words (d) naming a new leaf
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
14. 14.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
16. 16.⏩ 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
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “old emails marked spam” is the model. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “the learned patterns” is the model. (a) False (b) True
22. 22.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
23. 23.True or false: “typing a new spoken word” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “recorded spoken words” is the model. (a) True (b) False
26. 26.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
28. 28.Which of these is the model? (a) recorded spoken words (b) what training builds (c) past weather records (d) old emails marked spam
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.True or false: “flagging a new email” is a prediction. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
32. 32.True or false: “labelled fruit photos” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
34. 34.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
39. 39.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf

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